IBM Begins Power9 Rollout with Backing from DOE, Google

By Tiffany Trader

December 6, 2017

After over a year of buildup, IBM is unveiling its first Power9 system based on the same architecture as the Department of Energy CORAL supercomputers, Summit and Sierra. The new AC922 server pairs two Power9 CPUs with four or six Nvidia Tesla V100 NVLink GPUs. IBM is positioning the Power9 architecture as “a game-changing powerhouse for AI and cognitive workloads.”

The AC922 extends many of the design elements introduced in Power8 “Minsky” boxes with a focus on enabling connectivity to a range of accelerators – Nvidia GPUs, ASICs, FPGAs, and PCIe-connected devices — using an array of interfaces. In addition to being the first servers to incorporate PCIe Gen4, the new systems support the NVLink 2.0 and OpenCAPI protocols, which offer nearly 10x the maximum bandwidth of PCI-E 3.0 based x86 systems, according to IBM.

IBM AC922 rendering

“We designed Power9 with the notion that it will work as a peer computer or a peer processor to other processors,” said Sumit Gupta, vice president of of AI and HPC within IBM’s Cognitive Systems business unit, ahead of the launch. “Whether it’s GPU accelerators or FPGAs or other accelerators that are in the market, our aim was to provide the links and the hooks to give all these accelerators equal footing in the server.”

In the coming months and years there will be additional Power9-based servers to follow from IBM and its ecosystem partners, but this launch is all about the flagship AC922 platform and specifically its benefits to AI and cognitive computing – something Ken King, general manager of OpenPOWER for IBM Systems Group, shared with HPCwire when we sat down with him at SC17 in Denver.

“We didn’t build this system just for doing traditional HPC workloads,” King said. “When you look at what Power9 has with NVLink 2.0 we’re going from 80 gigabits per second throughput [in NVLink 1.0] to over 150 gigabits per second throughput. PCIe Gen3 only has 16. That GPU to CPU I/O is critical for a lot of the deep learning and machine learning workloads.”

Coherency, which Power9 introduces via both CAPI and NVLink 2.0, is another key enabler. As AI models grow large, they can easily outgrow GPU memory capacity, but the AC922 addresses these concerns by allowing accelerated applications to leverage system memory as GPU memory. This reduces latency and simplifies programming by eliminating data movement and locality requirements.

The AC922 server can be configured with either four or six Nvidia Volta V100 GPUs. According to IBM, a four GPU air-cooled version will be available December 22 and both four- and six-GPU water-cooled options are expected to follow in the second quarter of 2018.

While the new Power9 boxes have gone by a couple different codenames (“Witherspoon” and “Newell”), we’ve also heard folks at IBM refer to them informally as their “Summit servers” and indeed there is great visibility in being the manufacturer for what is widely expected to be the United States’ next fastest supercomputer. Thousands of the AC922 nodes are being connected together along with storage and networking to drive approximately 200 petaflops at Oak Ridge and 120 petaflops at Lawrence Livermore.

As King pointed out in reference to the delayed and retooled Argonne “Aurora” system, only one of the original CORAL contractors is fulfilling its mission to deliver “pre-exascale” supercomputing capability to the collaboration of US labs.

IBM has also been tapped by Google, which with partner Rackspace is building a server with Power9 processors called Zaius. In a prepared statement, Bart Sano, vice president of Google Platforms, praised “IBM’s progress in the development of the latest POWER technology” and said “the POWER9 OpenCAPI Bus and large memory capabilities allow for further opportunities for innovation in Google data centers.”

IBM sees the hyperscale market as “a good volume opportunity” but is obviously aware of the impact that volume pricing has had on the traditional server market. “We do see strong pull from them, but we have many other elements in play,” said Gupta. “We have solutions that go after the very fast-growing AI space, we have solutions that go after the open source databases, the NoSQL datacenters. We have announced a partnership with Nutanix to go after the hyperconverged space. So if you look at it, we have lots of different elements that drive the volume and opportunity around our Linux on Power servers, including of course SAP HANA.”

IBM will also be selling Power9 chips through its OpenPower ecosystem, which now encompasses 300 members. IBM says it’s committed to deploying three versions of the Power9 chip, one this year, one in 2018 and another in 2019. The scale-out variant is the one it is delivering with CORAL and with the AC922 server. “Then there will be a scale-up processor, which is the traditional chip targeted towards the AIX and the high-end space and then there’s another one that will be more of an accelerated offering with enhanced memory and other features built into it; we’re working with other memory providers to do that,” said King.

He added that there might be another version developed outside of IBM, leveraging OpenPower, which gives other organizations the opportunity to utilize IBM’s intellectual property to build their own differentiated chips and servers.

King is confident that the demand for IBM’s latest platform is there. “I think we are going to see strong out-of-the-chute opportunities for Power9 in 2018. We’re hoping to see some growth this quarter with the solution that we’re bringing out with CORAL but that will be more around the ESP customers. Next year is when we’re expecting that pent up demand to start showing positive return overall for our business results.”

A lot is riding on the success of Power9 after Power8 failed to generate the kind of profits that IBM had hoped for. There was growth in Power8’s first year, said King, but after that sales tailed off. He added that capabilities like Nutanix and building PowerAI and other software based solutions on top of it have led to a bit of a rebound. “It’s still negative but it’s low negative,” he said, “but it’s sequentially grown quarter to quarter in the last three quarters, since Bob Picciano [SVP of IBM Cognitive Systems] came on.”

Several IBM reps we spoke with acknowledged that pricing – or at least pricing perception – was a problem for Power8.

“For our traditional market I think pricing was competitive; for some of the new markets that we’re trying to get into, like the hyperscaler datacenters, I think we’ve got some work to do,” said King. “It’s really a TCO and a price-performance competitiveness versus price only. And we think we’re going to have a much better price performance competitiveness with Power9 in the hyperscalers and some of the low-end Linux spaces that are really the new markets.”

“We know what we need to do for Power9 and we’re very confident with a lot of the workload capabilities that we’ve built on top of this architecture, that we’re going to see a lot more growth, positive growth, on Power9, with PowerAI with Nuta,nix with some of the other workloads we’ve put in there. And it’s not going to be a hardware-only reason,” King continued. “It’s going to be a lot of the software capabilities that we’ve built on top of the platform, and supporting more of the newer workloads that are out there. If you look at the IDC studies of the growth curve of cognitive infrastructure, it goes from about $1.6 billion to $4.5 billion over the next two or three years – it’s a huge hockey stick – and we have built and designed Power9 for that market, specifically and primarily for that market.”

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that have occurred about once a decade. With this in mind, the ISC Read more…

2024 Winter Classic: Texas Two Step

April 18, 2024

Texas Tech University. Their middle name is ‘tech’, so it’s no surprise that they’ve been fielding not one, but two teams in the last three Winter Classic cluster competitions. Their teams, dubbed Matador and Red Read more…

2024 Winter Classic: The Return of Team Fayetteville

April 18, 2024

Hailing from Fayetteville, NC, Fayetteville State University stayed under the radar in their first Winter Classic competition in 2022. Solid students for sure, but not a lot of HPC experience. All good. They didn’t Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use of Rigetti’s Novera 9-qubit QPU. The approach by a quantum Read more…

2024 Winter Classic: Meet Team Morehouse

April 17, 2024

Morehouse College? The university is well-known for their long list of illustrious graduates, the rigor of their academics, and the quality of the instruction. They were one of the first schools to sign up for the Winter Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pressing needs and hurdles to widespread AI adoption. The sudde Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that ha Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use o Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pre Read more…

Exciting Updates From Stanford HAI’s Seventh Annual AI Index Report

April 15, 2024

As the AI revolution marches on, it is vital to continually reassess how this technology is reshaping our world. To that end, researchers at Stanford’s Instit Read more…

Intel’s Vision Advantage: Chips Are Available Off-the-Shelf

April 11, 2024

The chip market is facing a crisis: chip development is now concentrated in the hands of the few. A confluence of events this week reminded us how few chips Read more…

The VC View: Quantonation’s Deep Dive into Funding Quantum Start-ups

April 11, 2024

Yesterday Quantonation — which promotes itself as a one-of-a-kind venture capital (VC) company specializing in quantum science and deep physics  — announce Read more…

Nvidia’s GTC Is the New Intel IDF

April 9, 2024

After many years, Nvidia's GPU Technology Conference (GTC) was back in person and has become the conference for those who care about semiconductors and AI. I Read more…

Google Announces Homegrown ARM-based CPUs 

April 9, 2024

Google sprang a surprise at the ongoing Google Next Cloud conference by introducing its own ARM-based CPU called Axion, which will be offered to customers in it Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Leading Solution Providers

Contributors

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

DoD Takes a Long View of Quantum Computing

December 19, 2023

Given the large sums tied to expensive weapon systems – think $100-million-plus per F-35 fighter – it’s easy to forget the U.S. Department of Defense is a Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to Read more…

The GenAI Datacenter Squeeze Is Here

February 1, 2024

The immediate effect of the GenAI GPU Squeeze was to reduce availability, either direct purchase or cloud access, increase cost, and push demand through the roof. A secondary issue has been developing over the last several years. Even though your organization secured several racks... Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire