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popular-photo · 7 years

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SC17 Nvidia Volta Seems to be killing It | Cloud Providers Are Positive

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SC17 Nvidia Volta Seems to be killing It | Cloud Providers Are Positive

SC17 Nvidia Volta Seems to be killing It | Cloud Providers Are Positive

SC17 NVIDIA VOLTA credit by NVIDIA

THE CORE OF AI In Nvidia Products Is Volta, So far AI is not exactly defined by any one industry specifically. It has been extended in different dimensions and now exists in fields of super-computing, healthcare, financial services, big data analytics, and gaming. IA and Datacenter seems to be the future of every industry and market because every enterprise needs intelligence, cloud and the engine of AI in many huge companies are powered by the NVIDIA VOLTA GPU computing platform. The new AMD EPYC and MI25 from Radeon Instinct MI25, MI8 and MI6GPU architecture is coming up very very competitive. AMD EPYC got a lot of endorsements from many datacenter makers but Nvidia now with volta is standing strong in SC17. NVIDIA Volta is the new driving force behind artificial intelligence powered by nvidia. many platform may combine the Epyc and Nvidia together but at the CPU side it is intel’s XION dominating this market.

Every single cloud provider and every single computer maker has adopted Volta. #Volta is taking off. #SC17 pic.twitter.com/RoI5jDhEe0

— NVIDIA Data Center (@NVIDIADC) November 13, 2017

Japan’s AIST is building the fastest Japanese supercomputer based on NVIDIA Volta. https://t.co/SQO2YyrWxH #SC17 pic.twitter.com/cWl4Frz3gp

— NVIDIA (@nvidia) November 13, 2017

Tags: Technology, sc17, nvidia sc17, Nvidia volta, nvidia volta datacenter, nvidia volta sc17

#nvidia sc17 #nvidia volta #nvidia volta datacenter #nvidia volta sc17 #sc17 #technology #Gaming hardware #Gaming News #Technology

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ultragamerz · 6 years

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CES 2018 Shows AMD Is Serious | Ryzen 2, Zen+, Zen 2, Zen 3 & Vega 2nd gen

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CES 2018 Shows AMD Is Serious | Ryzen 2, Zen+, Zen 2, Zen 3 & Vega 2nd gen

AMD CES 2018 | New Ryzen, New Vega, New Zen

AMD CES plans show a strong products to be out in 2018.

Many expect the AMD stock to double or triple this year

AMD is expected to beat Intel in price and performance in 2018.

The stock should have a strong Q4 and a strong 2018.

2018 May be The year AMD capture a huge part of Datacenter market by EPYC CPUs

AMD and CES 2018 | New Ryzen, New Vega

AMD dropped a huge new at CES on Sunday, unveiling its plans for upcoming products. CPU news buzzes like 2nd-gen Threadripper, Zen 2, Zen 3, and its next-next-generation 7nm GPUs, the Vega 2nd gen. Add new mobile Vega chip and this is not even the full list of upcoming products, which includes two new Ryzen APUs with integrated Vega graphics.

With all that you can get that AMD is serious about regaining its reputation for fast chips.

“For us, it is all about high-performance computing,” said AMD CEO Lisa Su. “High-performance computing is absolutely the most exciting part of the semiconductor industry today.”

The presentations AMD made in CES did not address the server, datacenter and AI aspects of AMD plans that we saw in 2017 and how they will continue in 2018. CES presentation were mainly about AMD’s solutions in the client CPU and GPU space. But based on all we tracked from AMD EPYC CPUs and INSTINCT GPUs in SC17 and all the great deals AMD received after that like Microsoft deal and Baidu, You can feel the anticipation for AMD huge opportunities in datacenter market in 2018.

AMD offers two new low-cost chips:

The Ryzen 5 2400G will with four cores, +SMT and run at a base clock of 3.6GHz with a boost clock of 3.9GHz. It’ll feature 11 Vega-based Compute Units and will sell for $169, competing against Intel Core i5-8400 and a GeForce GT 1030. The Ryzen 3 2200G will have four cores, without SMT and run at a base clock of 3.5GHz and a max boost clock of 3.7GHz. It’ll feature 8 CUs and carry a price of $99.

Zen+ coming by Q2 2018

AMD said a new version of its Ryzen CPU, the Zen+, would come in April 2018. the Zen+ will be using a new 12nm process instead of the current 14nm process. AMD mentioned that the CPUs would clock up higher than current Zen-based chips. The new chips will feature the newer Precision Boost 2 frequency control, and an improved XFR2 clockspeed booster + an improved cache + memory-speed and latency improvements. PC world also reported that they are told that there will be at least a 10-percent performance increase.

Zen 2 and Zen 3 roadmap for 2019 & 2020

With Zen+ out in a close future, AMD said to expect Zen 2 in 2019 in a 7nm process and platform. A year later in 2020, Zen 3 will be out out using an improved 7nm+ process. Details of the chips are still too far to be revealed, but AMD has said to expect them to bring far more than the usual 7- to 8-percent performance bumps. The zen 2 & zen 3 were almost on the old AMD road maps and the new road map paints a better picture of how they will be rolled out.

AMD 7nm Vega GPUs and 7nm Navi

AMD won’t leave its graphics fans without any good news. AMD said this year would see its first 7nm-based Vega chip not an exact time but enough to say that gamers, unfortunately, won’t be the first ones to get the new vega 7nm graphics. The first 7nm Vega parts are aimed at its machine-learning customers to compete with the Nvidia volta graphics that Nvidia (nvda) is now pushing hard to the AI market. AMD’s official graphics map turns to its newer Navi graphics core, also built on a 7nm process, and then an unnamed graphics core built on a 7nm+ process.

CES 2018 Shows AMD Is Serious | Ryzen 2, Zen+, Zen 2, Zen 3 & Vega 2nd gen

Tags: Technology, amd, amd ces, ces, ces2018, amd ces 2018, Ryzen 2, Zen+, Zen 2, Zen 3 , Vega 2nd gen

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#Amd #amd ces #amd ces 2018 #ces #ces2018 #Ryzen 2 #technology #Vega 2nd gen #Zen 2 #Zen 3 #Zen+#Gaming hardware #Gaming News #Technology

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salmanblogger · 7 years

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Nvidia Unveils Major Volta Upgrade to its SaturnV Supercomputer

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The Supercomputing 2017 (SC17) conference has been in full swing this week, with major announcements from a number of players in the HPC industry. Nvidia has been no exception — the company has feathered its cap with announcements that it now has major…

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mthrynn · 7 years

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DENVER, Nov. 14, 2017 — One Stop Systems (OSS), a leading provider of ultra-dense high performance computing (HPC) systems for a multitude of HPC applications, will exhibit several HPC composable infrastructure solutions with partners at SC17 today. The solutions are ideal for data scientists requiring flexible HPC infrastructure across multiple nodes. By adding NVIDIA GPU and NVMe expansion, customers can add unlimited flexibility to their HPC architecture by decoupling the latest innovations in CPU capabilities, NVIDIA GPU performance and NVMe storage into a system called “composable HPC infrastructure.”

“OSS continues to provide the newest solutions to our customers and composable infrastructure is the latest and greatest,” said Steve Cooper, CEO of OSS. “Composable infrastructure using expansion systems allows large numbers of NVIDIA GPUs on the same PCIe or network fabric for use by any node in the datacenter. This flexibility is invaluable for AI, deep learning, RTM, Monte Carlo and image processing applications that benefit from peer-to-peer communication with moderate CPU interaction. Servers, GPUs and storage upgrade on different schedules from the various vendors so composable infrastructure decouples HPC components allowing upgrading at different times, spreading the capital expenditures over many fiscal periods.”

“OSS recently announced new systems that use NVIDIA Tesla V100 GPUs, the most advanced data center GPUs ever built to accelerate AI, HPC, and graphics,” said Paresh Kharya, Group Product Marketing Manager at NVIDIA. “One Stop Systems’ customers can now harness the power of our Volta architecture in their composable infrastructure systems.”

Composable infrastructure allows customers to utilize any number of CPU nodes to dynamically map the optimum number of NVIDIA® Tesla® V100 GPU accelerators and NVMe storage resources to each node required to complete a specific task. When the task completes, the resources return to the cluster pool so they can be mapped to the next set of nodes to run the next task. The composable infrastructure demos in the OSS booth utilize One Stop Systems expansion hardware and composable infrastructure software solutions from Liqid and Dolphin to provide the dynamic reallocation of GPU and NVMe resources.

“We’re excited to be working with One Stop Systems’ expansion technology because it provides industry-leading GPU and NVMe hardware density, increasing resource availability across the data center,” said Jay Breakstone, CEO of Liqid. “Liqid’s technology platform allows users to manage, scale out, configure and even automate physical, bare-metal server systems. With the ability to treat GPUs as a disaggregated, shared resource for the first time, scaled via OSS expansion systems, composable solutions from Liqid deliver the infrastructure to meet today’s most taxing HPC challenges, such as peer-to-peer transfers and memory access for AI and machine learning.”

“Dolphin is pleased to partner with OSS to provide customers with the highest performance hardware and software,” said Hugo Kohmann, CEO of Dolphin. “The Dolphin eXpressWare SmartIO software offers a flexible way to enable PCIe IO devices such as NVMe, FPGAs and GPUs to be accessed within a PCIe Network. Devices can be borrowed over the PCIe network without any software overhead at the performance of PCI Express.” Composable infrastructure is also available as a cloud solution. Data scientists can rent the latest technology composable infrastructure systems and software using operational expenditure budgets rather than capital equipment budgets. One Stop Systems is partnering with SkyScale to provide our composable infrastructure solutions in the cloud.

“Utilizing One Stop Systems hardware, SkyScale offers flexible composable infrastructure solutions in the Cloud,” said Tim Miller, President of SkyScale. “We already offer users cutting edge technology for GPU computing with unprecedented customization. By adding composable infrastructure solutions, we’re increasing the level of customization for our customers.”

Visitors to SC17 in Denver, Colorado can view these composable infrastructure demos in One Stop Systems’ booth #2049. Customers can order the hardware utilized in these demos from One Stop Systems’ highly-trained sales engineers.

About One Stop Systems

One Stop Systems designs and manufactures ultra-dense high performance computing (HPC) systems for deep learning, oil and gas exploration, financial trading, media and entertainment, defense and traditional HPC applications requiring the fastest and most efficient data processing. By utilizing the power of the latest GPU accelerators and NVMe flash cards, our systems stay on the cutting edge of the latest technologies. We have a reputation as innovators in hyperconverged and composable infrastructure solutions using the latest technology and design equipment to operate with the highest efficiency. Now OSS offers these exceptional systems to customers for lease or purchase. OSS continuously works to meet our customers’ greater needs.

Source: One Stop Systems

The post One Stop Systems Announces Composable Infrastructure Solutions at SC17 appeared first on HPCwire.

via Off The Wire – HPCwire

#Off The Wire – HPCwire

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ultragamerz · 6 years

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Nvidia’s CEO Jensen Huang on Volta As AI Forefront And Not Gaming GPU

New Post has been published on https://www.ultragamerz.com/nvidias-ceo-jensen-huang-on-volta-as-ai-forefront-and-not-gaming-gpu/

Nvidia’s CEO Jensen Huang on Volta As AI Forefront And Not Gaming GPU

Nvidia recently release the Workstation-level AI Graphic card Nvidia’s “GV100-powered Titan V” which is based on Nvidia’s advanced Volta microarchitecture, a type of GPU architecture that is at the forefront of the AI revolution geared specifically for tensor deep learning operations. This huge monster contains 21.1 billion (yes, billion) transistors on a 815 mm2 chip that can apparently deliver a full 110 teraflops of processing power. Besides its raw horsepower, Titan V is also 9 times more powerful than Titan X, its predecessor. The card also features 12 gigabyte of HBM2 memory and is now available for sale from Nvidia’s website for $2,999. But in wait of the new Geforce graphics for the last 6 month NVIDIA has denied even intention to release gaming graphics from Volta platform. Recently some rumors came out about a whole new series called Ampere. But nothing is confirmed by Nvidia yet.

As a matter of fact Nvidia has denied any intention to make the next gaming graphics from the Volta and mentioned that Volta is to be focused on AI market. Of course that is what Nvidia is doing right now. everyday Nvidia supports a new startup in AI market and releases a new industry to target for AI Solutions based on Volta. Here are the most recent statements from Nvidia about volta and how and where it is going:

In the Titan V announcement, SC17 and in other interviews on volta, Nvidia’s CEO Jensen Huang said:

“Our vision for Volta was to push the outer limits of high performance computing and AI. We broke new ground with its new processor architecture, instructions, numerical formats, memory architecture and processor links.”

“With Titan V, we are putting Volta into the hands of researchers and scientists all over the world. I can’t wait to see their breakthrough discoveries,”

“Volta for gaming, we haven’t announced anything. And all I can say is that our pipeline is filled with some exciting new toys for the gamers, and we have some really exciting new technology to offer them in the pipeline. But for the holiday season for the foreseeable future, I think Pascal is just unbeatable. It’s just the best thing out there. And everybody who’s looking forward to playing Call of Duty or Destiny 2, if they don’t already have one, should run out and get themselves a Pascal.”

“Volta is the world’s most powerful platform for AI and HPC, and will allow the world’s top minds in scientific research to push the limit on what’s possible in areas like drug discovery, alternative fuel sources and predicting natural disasters,”

“With Volta now in data centers and clouds around the world, a new wave of innovation is underway that will have an incredible impact across society.”

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Tgas: Nvidia, nvda, ai, artificial intelligent, nvidia volta, nvidia volta graphics, nvidia gaming graphics, nvidia new graphics, nvidia 2018

#AI #artificial intelligent #NVDA #Nvidia #Nvidia 2018 #nvidia gaming graphics #nvidia new graphics #nvidia volta #nvidia volta graphics #Gaming hardware #Gaming News #Technology

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ultragamerz · 6 years

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AMD 2017 Achievements Will Give An Upside To Stocks In 2018

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AMD 2017 Achievements Will Give An Upside To Stocks In 2018

AMD 2017 Achievements Will Give An Upside To AMD In 2018 because the results of many of the deals AMD made in 2017 are going come out in 2018. AMD Ryzen 5 and 7 are doing great with up to 40-50% of market share as of the Q3 of 2017. AMD started many deals and projects that will result in 2018. It is going to be a challenging year for AMD and Nvidia and also Intel. In March to June 2018 new products are going to start coming out. The Zen that revolutionized all AMD CPU lines and CPU platforms AMD. The Ryzen raised AMD from the ashes in gaming market in 2017 and EPYC did the same thing in AI and datacenters. SC17 was datacenter and AI servers hardware showdown and AMD killed it. For In AMD 2017 list of accomplishments Zen is not alone, Vega is also doing great in both gaming Graphics and AI graphics. Vega just got a big deal with apple for Imac pro workstation platform. Vega recently entered the mobile ultra-thin market which is amd’s first time in this area in this scale. To AMD’s credit, it is competing with two giants Now, Intel in CPU market and NVIDIA in graphics. AMD ultrathin vega graphics are doing so good that made Intel to actually come to AMD and ask for a deal on vega+Intel Chips. The deal made a lot of noise and actually made Nvidia angry. NVIDIA CEO said it is a losing deal.

AMD 2017 Achievements Will Give An Upside To Stocks In 2018 – credit by AMD

Now at the end of 2017 both of the Ryzen and Vega have got to a point to get started on their next generation of 12 nm technologies. 2018 seems to be the year of 12nm chips. In early 2018 a lot of new products and platforms will be announced and the eyes are on the CES 2018. Here we go through all the thing in Amd 2017 accomplishments that can make 2018 the most successful year for AMD. Things like Intel deal, Ataribox console and the Datacenter deals and so on. The following list can grow AMD into the most competitive rival Nvidia and Intel have ever had. here are the List:

Continue Reading To The List

Tags: Technolog, AMD, finance, NVDA, INLC, amd stocks, amd value, amd revenue, amd growth, amd vs nvda, NASDAQ:INTC, NASDAQ:AMD, amd 2018, amd 2017

2018 Could Be The Most Successful Year For AMD

1. New Ryzen 2nd Gen CPUs

AMD scored a on its new Ryzen CPUs, that offered comparable performance as Intel’s (NASDAQ:INTC) current-generation Kaby Lake CPUs at lower prices. AMD also launched the high-end Threadripper that has up to 16 cores and challenged Intel’s I9 in the highest end of the cpu market.

2. New Vega 2nd Gen GPUs

Nvidia Volta-based GPUs are now only for AI and supercomputing customers, NVIDIA has plans to launch the consumer versions in 2018. AMD plans to counter Volta with its next-generation 12nm Vega 2nd gen GPUs.

3. The Intel-AMD deal On Ultrathin Notbooks

In a strange deal, AMD recently partnered with Intel to integrate its Radeon graphics into Intel’s upcoming chipset for ultra-thin laptops. This partnership is risky, since it could curb demand for AMD’s own Raven Ridge APUs. but it is depended on how much of a big thing it is and how much GPUs intel needs from AMD. The potential costumers are Microsoft surface or apple or even Intel mini PCs along with thin laptops.

4. EESC Deals and performance

AMD’s EESC (Enterprise, Embedded, and Semi-Custom) business became a pillar of growth over the past few years as it supplied semi-custom SoCs to leading gaming consoles like the Xbox One and PS4 and Ataribox.

5. AI – Artificial Intelligence GPU market (Instinct GPUs)

AMD has a strong platform in AI and already working with companies like Tesla to develop the AI tools in auto industry. More and more deals like Tesla can help AMD grow in the huge 30 Billion AI market.

6. Datacenter CPUs (EPYC CPUs)

sc17 was a good time for AMD to show off new Datacenter products like EPYC CPUs they have made with Zen platforms. AMD actually could get so many new costumers like Microsoft, Asus and Biado. Pushing the Datacenter Market can help AMD succeed in 2018 as well.

7. VR – Virtual Reality Market

2017 was they year that many evolutions happened in VR industries and last month AMD Just hosted its VR Awards where Virtual Reality Meets Recognition from apps to news technologies in VR. Attendees of the awards in all the different categories include almost all of the biggest names in VR. And just a while ago AMD over-performed NVIDIA flagship 1080 ti in many benchmarks in VR environment. AMD has definitely a growth area in VR to go through and explore. This is while many of the main VR headset makers are going to have big announcements in 2018 and the VR market is going to grow even more.

8. AMD-Qualcomm Deal and partnership

AMD just announced Dec 5 that AMD is working with Qualcomm (QCOM) to bring PC connectivity solutions to AMD’s Ryzen mobile processors. Most importantly from the partnership is Qualcomm’s LTE modem and AMD’s graphics and CPU processors coming together.

Graph 2 – AMD NVDA INTC

Tags: Technolog, AMD, finance, NVDA, INLC, amd stocks, amd value, amd revenue, amd growth, amd vs nvda, NASDAQ:INTC, NASDAQ:AMD, amd 2018, amd 2017

#Amd #amd 2017 #AMD 2018 #amd growth #amd revenue #amd stocks #amd value #amd vs nvda #Finance #INLC #NASDAQ:AMD #NASDAQ:INTC #NVDA #Technolog #Gaming hardware #Gaming News #Technology

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ultragamerz · 6 years

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8 Things That Could Make AMD SkyRocket In 2018

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8 Things That Could Make AMD SkyRocket In 2018

AMD VR (Virtual Reality)

It seems that the new Ryzen 5 and 7 are doing very well so far with up to 40-50% of market share as of the Q3 of 2017, But the 2018 is going to be challenging when all the new releases are coming out around March to June 2018. Zen was a revolution in almost all CPU platforms AMD is working on. The Ryzen raised AMD from the ashes in gaming market and EPYC is getting a lot of attention in SC17 among datacenter and AI servers. Zen is not alone though, Vega is also doing great in both gaming Graphics and AI graphics and just recently entered the mobile ultra-thin market which is killing it competing against Intel and made Intel to actually come to AMD and ask for a deal on vega+Intel Chips. Both of the Ryzen and Vega are coming to a point to release their next generation and jump into the 12 nm technologies. 2018 is the year of 12nm chips and early 2018 a lot of new products and platforms will be introduced especially in CES 2018. Amd made a lot of great things in 2017 that will blossom in 2018 like the intel deal or the Datacenter deals. Lets go through the most important thing that can grow AMD into the most competitive rival Nvidia and Intel have ever had.

2018 Could Be The Most Successful Year For AMD

In AMD’s world, it is key that 2018 is the time to deliver. Not only to show AMD has a chance against NVIDIA (NVDA) and and Intel, to continue the positive EPS and sales trend that started in the first quarter of 2016. 8 main areas that will determine whether AMD is going to be successful in 2018 are as follows:

1. New Ryzen 2nd Gen CPUs

2. New Vega 2nd Gen GPUs

3. The Intel-AMD deal On Ultrathin Notbooks

4. EESC Deals and performance

5. AI – Artificial Intelligence GPU market (Instinct GPUs)

6. Datacenter CPUs (EPYC CPUs)

7. VR – Virtual Reality Market

8. AMD-Qualcomm Deal and partnership

Graph 2 – AMD NVDA INTC

Tags: Technolog, AMD, finance, NVDA, INLC, amd stocks, amd value, amd revenue, amd growth, amd vs nvda, NASDAQ:INTC, NASDAQ:AMD

#Amd #amd growth #amd revenue #amd stocks #amd value #amd vs nvda #Finance #INLC #NASDAQ:AMD #NASDAQ:INTC #NVDA #Technolog #Gaming News #Technology

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ultragamerz · 6 years

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AMD Can Increase It's Value 50% If Captures Only 10% Of AI Market By 2020

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AMD Can Increase It's Value 50% If Captures Only 10% Of AI Market By 2020

AMD Can Add 50% To Its Value If Gets Only 10% Of AI Market By 2020

A Nvidia pushing hard and harder on AI solutions and just released the Titan V to enable the PCs with AI super computing. And as Intel currently dominates the AI and datacenter CPU market by huge distance, new opportunities are opening for AMD as the new AI approach of processing in different platforms to involve the artificial intelligence and machine learning. This is greatly happening especially for GPU makers like AMD and Nvidia to walk-in and capture some part of the whole market while its in development process. In the AI territory, Nvidia has seen strong growth lately due to success of its Volta GPUs in machine learning applications and following the trend Just released its Titan V for support of AI in Normal PCs. This is a huge and strong opportunity for AMD to operate as well, AMD has usually struggled against Intel in both gaming and server market but recently the Zen Based Architectures Ryzen and EPYC CPUS and also the Instinct GPUs by vega architecture in SC17 showed the ability to grow in AI and made a lot of new contract and customers for AMD. Nvidia believes that AI addressable market for GPUs is around $30 billion. Forbes has recently estimate that if AMD captures about only 10% of the addressable AI market, its valuation can go up by 50% from the forbs current estimates. Nvidia and AMD both can benefit from the advantage that GPUs have in parallel processing and huge data loads in AI, machine learning algorithms, servers and supercomputing, and AMD has developed their new AMD Instinct Graphic cards based on Vega especially to compete with the Tesla V100 and Titan V graphics made by volta from Nvidia.

In the discrete GPU market like radeon and Gforce graphics, AMD has a 30% share against Nvidia’s 70% in 2017. If AMD could get the AI market as much as it has the market in discrete graphics only in the machine learning GPU market and AMD would go up to target 30% of the total addressable market of Ai that has about $9 billion value. But forbs is not even talking about 30%, only 10% of total can add $3 billion in Enterprise, Embedded and Semi-Custom revenue and $3 Billion In Additional Revenue Will Result In 50% Jump In 2020 EPS, Price Estimate.

Radeon instinct mi25 credit by AMD

Tags: Technology, AMD, amd value, amd stock value, amd ai, amd datacenter, amd ai market, amd shares, amd market

#Amd #amd ai #amd ai market #amd datacenter #amd market #amd shares #amd stock value #amd value #technology #titan v ai #Gaming hardware #Gaming News #Technology

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ultragamerz · 6 years

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AMD Can Add About 50% To Its Value By Capturing Only 10% Of AI Market By 2020

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AMD Can Add About 50% To Its Value By Capturing Only 10% Of AI Market By 2020

Intel currently dominates the data center market by huge margin, but the approach of AI processing platforms to artificial intelligence and machine learning has opened up doors for GPU maker like AMD and Nvidia to walk into the AI territory. Nvidia has seen strong growth lately due to success of its Volta GPUs in machine learning applications. This is a huge and strong opportunity for AMD as well, AMD has usually struggled against Intel in the server market but recently the Zen Based Architectures and EPYC CPUS and also the Instinct GPUs in SC17 showed the ability to grow in AI. Nvidia believes that AI addressable market for them is around $30 billion. Forbes has recently estimate that if AMD captures about only 10% of the addressable AI market, its valuation can go up by 50% from the forbs current estimates. Nvidia and AMD can benefit from the advantage that GPUs have in parallel processing and huge data loads in machine learning algorithms and AMD has developed their new AMD Instinct Graphic cards especially to compete with the Tesla V100 graphics made by volta from Nvidia.

AMD Radeon Instinct AMD AI Graphics, Credits by AMD

Tags: Technology, AMD, amd value, amd stock value, amd ai, amd datacenter, amd ai market, amd shares, amd market

#Amd #amd ai #amd ai market #amd datacenter #amd market #amd shares #amd stock value #amd value #technology #Gaming News #Technology

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popular-photo · 7 years

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SC17, AMD Radeon Instinct Is Shining Beside EPYC CPUs In High-Performance Platforms

New Post has been published on https://www.ultragamerz.com/sc17-amd-radeon-instinct-is-shining-beside-epyc-cpus-in-high-performance-platforms/

SC17, AMD Radeon Instinct Is Shining Beside EPYC CPUs In High-Performance Platforms

Machine Intelligence & Deep Learning Neural Network Training is basically the main goal of the AMD Instinct project. it has not yet release an actual project but it is targeting the Training techniques used today on neural networks in machine intelligence and deep learning. Applications in data centers have become very complex and require the handling of massive amounts of data when training those networks to recognize patterns within that data. This area is also becoming an interest for Nvidia recently and they have been working with the new 12nm Volta platform for huge data loads and AI tech needs. This kind of data processing requires lots of floating point computation spread across many cores like EPYC has, and traditional CPUs can’t handle this type of computation as efficient and as fast as the current multi stream GPUs handle it. What can take CPUs weeks to compute, can be handled in days with the use of GPUs. The Radeon Instinct MI25, is now combined with AMD’s new Epyc server processors and AMD ROCm open software platform, deliver performance needed for machine intelligence and deep learning applications.

Radeon Instinct performance running with 4,096 stream processors; along with its High Bandwidth Cache (HBC) and controller and 16GB of high-bandwidth HBM2 memory, The MI25 accelerator, based on AMD’s Next-Gen “Vega” architecture with the what AMD Calls it “the world’s most advanced memory architecture”, is optimized for handling large sets of data.

Radeon instinct mi25 credit AMD

Tags: Technology, pc hardware, Radeon instinct mi25, AMD Radeon instinct mi25, Amd instinct mi25, vega, Radeon Instinct MI25, Radeon Instinct MI8, Radeon Instinct MI6, sc17, sc17 radeon instinct

#Amd instinct mi25 #AMD Radeon instinct mi25 #Pc hardware #Radeon instinct mi25 #Radeon instinct mi25 credit AMD #Radeon Instinct MI6 #Radeon Instinct MI8 #sc17 #sc17 radeon instinct #technology #Vega #Gaming hardware #Gaming News #Technology

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mthrynn · 7 years

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The 50th edition of the Top500 list, the biannual publication of the world’s fastest supercomputers based on public Linpack benchmarking results, was released from SC17 in Denver, Colorado, this morning and once again China is in the spotlight, having taken what is on the surface at least a definitive lead in multiple dimensions. China now claims the most systems, biggest flops share and the number one machine for 10 consecutive lists. It’s a coup-level achievement to pull off in five years, disrupting 20 years of US dominance on the Top500, but reading deeper into the Top500 tea leaves reveals a more nuanced analysis that has as much to do with China’s benchmarking chops as it does its supercomputing flops.

PEZY-SC2 chip at ISC 2017 –click to enlarge

Before we thread that needle, let’s take a moment to review the movement at the top of the list. There are no new list entrants in the top ten and no change in the top three, but the upgraded ZettaScaler-2.2 “Gyoukou” stuck its landing for a fourth place ranking. Vaulting 65 spots, the supersized Gyoukou combines Xeons and PEZY-SC2 accelerators to achieve 19.14 petaflops, up from 1.68 petaflops on the previous list. The Top500 authors point out that the system’s 19,860,000 cores represent the highest level of concurrency ever recorded on the Top500 rankings.

Gyoukou also had the honor of being the fifth greenest supercomputer. Fellow ZettaScaler systems Shoubu system B, Suiren2 and Sakura, placed first, second and third respectively (see perf-per-watt numbers below). Nvidia’s DGX SaturnV Volta system, installed at Nvidia headquarters in San Jose, Calif., was the fourth greenest supercomputer.

Nov. 2017 Green500 top five — click to enlarge

Nov. 2017 Top500 top 10

Another upgraded machine, Trinity, moved up three positions to seventh place thanks to a recent infusion of Intel Knights Landing Xeon Phi processors that raised its Linpack score from 8.10 petaflops to 14.14 petaflops. Trinity is a Cray XC40 supercomputer operated by Los Alamos National Laboratory and Sandia National Laboratories.

China still has a firm grip on the top of the list with 93-petaflops Sunway TaihuLight and 33.86-petaflops Tianhe-2, the number one and and two systems respectively, which together provide the new list with 15 percent of its flops. Piz Daint, the Cray XC50 system installed at the Swiss National Supercomputing Centre (CSCS) remains the third fastest system with 19.6 petaflops. With Gyoukou in fourth position, the fastest US system, Titan, slips another notch to fifth place, leaving the United States without a claim to any of the top four rankings. Benchmarked at 17.59 petaflops, the five-year-old Cray XK7 system installed at the Department of Energy’s Oak Ridge National Laboratory, captured the top spot for one list iteration before being knocked off its perch in June 2013 by China’s Tianhe-2. This is the first time in the list’s 24-year history that the US has not held at least a number four ranking.

Although China has enjoyed number one bragging rights for nearly four years, this is the first list that it also dominates by both system number and aggregate performance share as well. China has the most installed systems: 202 compared to 159 on the last list, while US is in second place with 144 down from 169 six month ago (Japan ranks third place with 35, followed by Germany with 20, France with 18, and the UK with 15.). Aggregate performance is similar: China holds 35.3 percent of list flops, and the US is second with 29.8 percent (then Japan with 10.8 percent, Germany with 4.5 percent, UK with 3.8 percent and France with 3.6 percent).

Based on these metrics, undoubtedly some publications will proclaim China’s supercomputing supremacy, but that would be premature. When China expanded its Top500 toehold by a factor of three at SC15, Intersect360 Research CEO Addison Snell remarked that it wasn’t so much that China discovered supercomputing as it discovered the Top500 list. This observation continues to hold water.

An examination of the new systems China is adding to the list indicates concerted efforts by Chinese vendors Inspur, Lenovo, Sugon and more recently Huawei to benchmark loosely coupled Web/cloud systems, which are not true HPC machines. To wit, 68 out of the 96 systems that China introduced onto the latest list utilize 10G networking and none are deployed at research sites. The benchmarking of Internet and telecom systems for Top500 glory is not new. You can see similar fingerprints on the list (current and historical) from HPE and IBM, but China has doubled down. For comparison’s sake, the US put 19 new systems on the list and eight of those rely on 10G networking.

Top500 development over time–countries by performance share. US is red; China is dark blue. Click to enlarge.

Not only has the Linpacking of non-HPC systems inflated China’s list presence, it’s changed the networking demographics as the number of Ethernet-based machines climbs steadily. As the Top500 authors note, Gigabit Ethernet now connects 228 systems with 204 systems using 10G interfaces. InfiniBand technology is now found on 163 systems, down from 178 systems six months ago, and is the second most-used internal system interconnect technology.

Snell provided additional perspective: “What we’re seeing is a concerted effort to list systems in China, particularly from China-based system vendors. The submission rules allow for what is essentially benchmarking by proxy. If Linpack is run and verified on one system, the result can be assumed for other systems of the same (or greater) configuration, so it’s possible to put together concerted efforts to list more systems, whether out of a desire to show apparent market share, or simply for national pride.”

Discussions of list purity and benchmarking by proxy aside, the High Performance Linpack or any one-dimensional metric has limited usefulness across today’s broad mix of HPC applications. This truth, well understood in HPC circles, is not always appreciated outside the community or among government stakeholders who want “something to show” for public investment.

“Actual system effectiveness is getting more difficult to compare, as the industry swings back toward specialized hardware,” Snell commented. “Just because one architecture outperforms another on one benchmark doesn’t make it the best choice for all workloads. This is particularly challenging for mixed-workload research environments trying to serve multiple domains. 88 percent of all HPC users say they will need to support multiple architectures for the next few years, running applications on the most appropriate systems for their requirements.”

Chip technology – click to expand (Source: Top500)

There has been stagnation on the list for several iterations and turnover is historically low. Neither Summit or Sierra (the US CORAL machines, projected to achieve ~180 petaflops) nor the upgraded Tianhe-2A (projected 94.97 petaflops peak) made the cut for the 50th list as had been speculated. While HPC is seeing a time of increased architectural diversity at the system and processor level, the current list is less diverse by some measures. To wit, of the 136 new systems on the list, Intel is foundational to all of them (36 of these utilize accelerators*). So no new Power, no new AMD (it’s still early for EPYC) and nothing from ARM yet. In total 471 systems, or 94.2 percent, are now using Intel processors, up a notch from 92.8 percent six months ago. The share of IBM Power processors is at 14 systems, down from 21 systems in June. There are five AMD-based systems remaining on the list, down from seven one year ago.

Nvidia’s New SaturnV Volta system. Click to enlarge.

In the US, IBM Power9 systems Summit and Sierra are on track for 2018 installation at Oak Ridge and Livermore labs (respectively), and multiple other exascale-focused systems are in play in China, Europe and Japan, showcasing a new wave of architectural diversity. We expect there will be more exciting supercomputing trends to report on from ISC 2017 in Frankfurt.

*Breakdown of the 36 new accelerated Intel systems: 29 have P100s (one with NVLink, an HPE SGI system at number 292 (Japan)), one internal Nvidia V100 Volta system (#149, SaturnV Volta); one K80-based system (#267, Lenovo); two Sugon-built P40 systems (#161, #300), and three PEZY systems (#260, #277, #308). Further, out of the 36, only the internal Nvidia machine is US-based. 30 are Chinese (by Lenovo, Inspur, Sugon); the remaining five are Japanese (by NTT, HPE, PEZY).

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mthrynn · 7 years

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The Department of Energy’s planned 200 petaflops Summit computer, which is currently being installed at Oak Ridge Leadership Computing Facility, is on track to be completed in early 2018 according to an OLCF presentation made last week at the HPCXXL meeting. There had been some speculation Summit might be running by SC17. Standing up such massive machines is typically a painstaking process.

OLCF researcher Wayne Joubert told the audience, “We now have all of the cabinets delivered to Oak Ridge and installed. They are empty cabinets – we are still waiting for the processor boards. [Work] on the fiber optic cables is partly done and in progress now. We hope in early 2018 to have the entire system delivered. We’ll start working on it [then], trying out our codes on it and driving to acceptance of the system later in 2018.”

Joubert’s talk (Evaluating functionality and performance of IBM Power8+ systems) highlighted a dedicated OpenPOWER day at the HPCXXL[i] summer meeting held in New York. HPCXXL is a user group for sites which have large installations of IBM or Lenovo equipment. The focus of the HPCXXL group is on large-scale scientific/technical computing using IBM or Lenovo hardware.

Joubert reviewed work being done on the Summitdev machine – a one petaflop ‘prototype’ – in preparation for Summit. IBM (Power CPU) and Nvidia (P100 GPU) are key vendors on the project. Summitdev is an impressive computer on its own (specs below) that outperforms Titan in several areas. Titan was one of the first leadership computers to use heterogeneous (CPU plus GPU) architecture.

OLCF took delivery of Summitdev, a three cabinet 54-node IBM Minsky system, last October. Summitdev is primarily intended for code teams to prepare applications for Summit, a Power9 / Volta system that is among the pre-exascale machines DoE is funding on the path to exascale. Summit is expected to deliver 200 petaflops of double precision performance, and, based on Nvidia announcements, it will provide 3.2 exaflops of mixed precision performance for machine learning applications. “We expect Summit to be the world’s most powerful machine learning system,” said Joubert.

The big difference between Summitdev and Summit – besides sheer size – is use of IBM’s newest processor, the Power9, which has been much anticipated. Summitdev uses IBM Power8+ chips introduced roughly a year ago as the core of IBM’s Minsky PowerAI platform (see HPCwire article, IBM Launches PowerAI Suite Optimized for its Highest Performing Server.) IBM’s high-end server (S822LC for HPC) with Power8+ and NVlink was one of the first systems to ship with Nvidia’s new P100 GPU.

Summitdev was delivered to OLCF last October, underwent the usual testing and was accepted in early December. Since then more work has been done around debugging and evaluating system software and application performance. Joubert’s update covered acceptance work and recent evaluations. Summit, in addition to the new Power9 CPU, will have Nvidia’s new Volta 100 GPU.

OLCF director Arthur “Buddy” Bland declined to say whether OLCF had been working with early Power9 silicon, but said he didn’t think transitioning from the Power8+ to Power9 would be a problem. He also confirmed the Summit rollout schedule.

“Our team does not expect the port from Power8 to Power9 to be difficult. We fully expect that codes will move over with little effort. Of course, as with any system modifications may be needed to take full advantage of the new features. The details of Power9 are still under NDA so I can’t really say any more at this time. As for the dates, we have been saying for a long time that we expect to have the machine installed in 2018 and put early users on in the second half of 2018,” said Bland.

Most Joubert’s talk covered the Summitdev performance testing. The problems encountered, he said were largely typical. There were a few early hardware problems. A wide variety of compilers (XL, PGI, GNU, LLVM) and libraries et. al. were tested. Interestingly, LLVM, perhaps because it is still new, had a couple of glitches.

Application performance was generally encouraging and in line with expectations. The OLCF team not only examined required CORAL apps but also a few other science applications that are heavily used.

You can see from the slide below that Summitdev is already surpassing Titan on select applications such as QMCPACK.

The OLCF update of the Summitdev/Summit project was just one of several IBM-centric presentations made at the OpenPOWER day. Here are links to a few other presentations:

Link to OLCF presentation video: https://www.youtube.com/watch?v=gb9yUI9H2mk

Link to OLCF presentation slides: http://ift.tt/2xec4Hs

Link to all HPCXXL presentations: http://ift.tt/2fOcpJd

OpenPOWER YouTube channel: https://www.youtube.com/channel/UCYLtbUp0AH0ZAv5mNut1Kcg

[i] HPCXXL is a user group for sites which have large installations of IBM or Lenovo equipment. The focus of the HPCXXL group is on large-scale scientific/technical computing using IBM or Lenovo hardware. Some of the areas we cover are: Applications, Code Development Tools, Communications, Networking, Parallel I/O, Resource Management, System Administration, and Training. We address topics across a wide range of issues that are important to sustained multi-petascale scientific/technical computing on scaleable parallel machines.

The HPCXXL is a self-organized and self-supporting group. Members and affiliates are expected to participate actively in the HPCXXL meetings and activities and to cover their own costs for participating. HPCXXL meetings are open only to members and affiliates of the HPCXXL. HPCXXL member institutions must have an appropriate non-disclosure agreement in place with IBM and Lenovo, since at times both vendors disclose and discusses information of a confidential nature with the group. Beginning in 2018 the spring workshop will be co-located with the HPC Advisory Council Switzerland in Lugano without a vendor dedicated focus. The summer/autum workshop will be traditionally focused on IBM and their partners.

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mthrynn · 7 years

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Here come the Volta 100-based servers. Nvidia today announced an impressive line-up of servers from major partners – Dell EMC, Hewlett Packard Enterprise, IBM, and Supermicro – all featuring Nvidia’s new V100 GPUs. Availability information was not immediately clear but with SC17 approaching in November it’s likely at least a few of the new servers will be on display.

The V100, of course, is Nvidia’s latest and most powerful GPU. It began shipping in quantity only recently. It is literally a whale of a chip with more than “21 billion transistors, as well as 640 Tensor Cores, the latest NVLink high-speed interconnect technology, and 900 GB/sec HBM2 DRAM to achieve 50 percent more memory bandwidth than previous generation GPUs.”

The new servers include:

Dell EMC – The PowerEdge R740 supporting up to three V100 GPUs for PCIe, the PowerEdge R740XD supporting up to three V100 GPUs for PCIe, and the PowerEdge C4130 supporting up to four V100 GPUs for PCIe or four V100 GPUs for NVIDIA NVLink interconnect technology in an SXM2 form factor.

HPE – HPE Apollo 6500 supporting up to eight V100 GPUs for PCIe and HPE ProLiant DL380 systems supporting up to three V100 GPUs for PCIe.

IBM – The ‘next generation’ of IBM Power Systems servers based on the POWER9 processor will incorporate multiple V100 GPUs and take advantage of the latest generation NVLink interconnect technology — ‘featuring fast GPU-to-GPU interconnects and an industry-unique OpenPOWER CPU-to-GPU design for maximum throughput.’

Supermicro – Products supporting the new Volta GPUs include a 7048GR-TR workstation for all-around high-performance GPU computing, 4028GR-TXRT, 4028GR-TRT and 4028GR-TR2 servers designed to handle the most demanding deep learning applications, and 1028GQ-TRT servers built for applications such as advanced analytics.

Nvidia says the V100 GPU can deliver the equivalent performance of 100 CPUs for many data intensive workloads. The variety of configurations announced by the major systems vendors should certainly accommodate a wide variety of needs and applications.

“Volta systems built by our partners will ensure that enterprises around the world can access the technology they need to accelerate their AI research and deliver powerful new AI products and services,” said Ian Buck, vice president and general manager of Accelerated Computing at Nvidia, in the official announcement.

IBM’s Brad McCredie

The IBM announcement is notable for its intended use of IBM’s Power9 chip. Brad McCredie, vice president and IBM Fellow, Cognitive Systems Development at IBM, is quoted saying, “IBM’s upcoming POWER9 servers will support NVIDIA’s Volta GPU, and will be the only one to support the latest generation of NVLink and PCIe 4.0, which will deliver maximum throughput.”

McCredie posted a blog coinciding with the announcement (Proposition: No speed limit on NVIDIA Volta with rise of AI). In it he took a shot at Intel – “Intel-based systems seem to be designed for yesterday’s era of architecture: defined by determinative code, not for free-flowing data, streaming sensors and always-on algorithms” – adding, “Servers with POWER9 and Volta, with its second-generation NVIDIA NVLINK, PCI-Express 4, and Memory Coherence technologies, and unprecedented internal bandwidth, will blow people away.”

The first IBM Power9 chips as well as new acceleration technologies will be used in the U.S. Department of Energy Summit Supercomputer at the Oak Ridge National Laboratory and the Sierra Supercomputer at the Lawrence Livermore National Laboratory. There’s been anticipation that one or both of the machines may be ready in time to break into the next Top500.

Other testimonial quotes included in Nvidia’s release include:

“One of the core principles for Dell EMC is to deliver differentiated solutions to our customers so that they can leverage the most advanced technology for a competitive advantage. To that end, we are proud of the work we do with partners like NVIDIA to build PowerEdge servers ideal for compute-intensive workloads including data analytics, high-performance computing, machine learning and AI.” – Armughan Ahmad, senior vice president and general manager of Hybrid Cloud and Ready Solutions at Dell EMC

“As deep learning continues to become more pervasive, technology advancements across systems and accelerators need to evolve in order to gain intelligence from large datasets faster than ever before. The HPE Apollo 6500 and HPE ProLiant DL380 systems combine the industry-leading GPU performance of NVIDIA Tesla V100 GPU accelerators and Volta architecture with HPE unique innovations in system design and manageability to deliver unprecedented levels of performance, scale and efficiency for high performance computing and artificial intelligence applications.” – Bill Mannel, vice president and general manager of High Performance Computing and Artificial Intelligence at Hewlett Packard Enterprise

“Supermicro designs the most application-optimized GPU systems and offers the widest selection of GPU-optimized servers and workstations in the industry. Our high performance computing solutions enable deep learning, engineering and scientific fields to scale out their compute clusters to accelerate their most demanding workloads and achieve fastest time-to-results with maximum performance per watt, per square foot and per dollar. With our latest innovations incorporating the new NVIDIA V100 PCI-E and V100 SXM2 GPUs in performance-optimized 1U and 4U architectures with next-generation NVLink, our customers can accelerate their applications and innovations to help solve the world’s most complex and challenging problems.” – Charles Liang, president and CEO of Supermicro

Link to Nvidia release: http://ift.tt/2y7ITFV

Link to IBM blog: http://ift.tt/2k4EJbA

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