Nvidia Debuts Quantum-2 Networking Platform with NDR InfiniBand and BlueField-3 DPU

By John Russell

November 10, 2021

Nvidia yesterday introduced Quantum-2, its new networking platform that features NDR InfiniBand (400 Gbps) and Bluefield-3 DPU (data processing unit) capabilities. The name is perhaps confusing – it’s not a quantum computing device and even Nvidia is getting into the true quantum computing market with its cuQuantum simulator. The name stems from the legacy line of Nvidia/Mellanox Quantum switches. That said, the new Quantum-2 platform specs are impressive.

Jensen Huang, Nvidia CEO, introduced the new platform during his keynote, “Quantum-2 is the first networking platform to offer the performance of a supercomputer and the shareability of cloud computing. This has never been possible before. Until Quantum-2, you [would] get either bare metal high performance or secure multi-tenancy. Never both. With Quantum-2 your valuable supercomputer will be cloud native and far better utilized,” said Huang who ticked through Quantum-2’s key features.

“Performance isolation keeps the activity of one tenant from disturbing others. A telemetry-based congestion control system keeps high data rate senders from overwhelming the network and jamming to traffic for all. Generation three SHARP (scalable hierarchical aggregation and reduction protocol) has 32 times higher in switch processing to speed up AI training. A nanosecond precision timing system can synchronize distributed applications like database processing, lowering the overhead of waiting and handshaking needed to avoid race conditions,” he said.

To some extent the new platform pulls together earlier technologies into a single package. Nvidia says “Quantum-2 is the most advanced end-to-end networking platform ever built. It comprises a “400Gbps InfiniBand networking platform that consists of the Nvidia Quantum-2 switch, the ConnectX-7 network adapter, the BlueField-3 data processing unit (DPU) and all the software that supports the new architecture.”

At the heart of the new Quantum-2 platform is the Quantum-2 InfiniBand switch, a 57-billion transistor chip fabricated using TSMC’s 7-nanometer process; it’s slightly bigger than the Nvidia’s A100 GPU with 54 billion transistors. It features 64 ports at 400Gbps or 128 ports at 200Gbps and will be offered in a variety of switch systems up to 2,048 ports at 400Gbps or 4,096 ports at 200Gbps — more than 5x the switching capability over the previous generation, Quantum-1. (See official announcement)

Nvidia reported the Quantum-2 switch is “now available” from a wide range of infrastructure and system vendors around the world, including Atos, DataDirect Networks (DDN), Dell Technologies, Excelero, GIGABYTE, HPE, IBM, Inspur, Lenovo, NEC, Penguin Computing, QCT, Supermicro, VAST Data and WekaIO.

Interestingly, Nvidia is offering two versions of the new Quantum-2 networking platform: “The Nvidia Quantum-2 platform provides two networking end-point options, the Nvidia ConnectX-7 NIC and Nvidia BlueField-3 DPU InfiniBand.”

ConnectX-7 is being billed by Nvidia as the world’s leading HPC networking chip, doubling the performance of ConnectX-6. Nvidia says it also doubles the performance of RDMA, GPUDirect Storage, GPUDirect RDMA and In-Networking Computing. ConnectX-7 will sample in January. The BlueField-3 DPU will sample in May.

Nvidia didn’t specify different uses cases for the two versions of the Quantum-2 platform, although private and public cloud providers are obvious markets along with large supercomputing centers. The expectation is that over time, there will be a preference for the DPU version.

“The DPU includes the ConnectX-7 IP, and adding Arm cores, more accelerations engines, and on board memory. We are seeing great eco system being developed around the DPU, using it for scientific applications offloads and accelerations, for infrastructure workloads, for security and isolation and so forth,” said Gilad Shainer, senior VP of marketing for networking, Nvidia.

“As the eco-system is being developed, we provide our customers with the flexibility to use the DPU or the ConnectX [version], based on their data center applications requirements. In the future, we believe that the DPU will become the default network adapter, for both compute and storage connectivity,” he said.

Nvidia also introduced DOCA 1.2, the latest version of its tool suite for the BlueField DPUs and showcased a few benchmarks. During his keynote, Huang also emphasized the steady expansion of the DPU ecosystem as shown below.

It will be interesting to see how the Quantum-2 platform-plus-DPU gambit plays out. Nvidia has consistently argued that its DPU-based offerings constitute more than a smartNIC. Nvidia contends the ability to offload key infrastructure chores such as networking, storage, and security management – which consume as much as 30 percent of CPU time in large datacenters and the cloud according to at least one study – is a critical requirement for advancing datacenter performance.

Huang is doubling down on that idea. During a post-keynote media Q&A held today (Wednesday), Huang said, “Quantum-2 is going to be the next-generation nervous system, the fabric, for large computer systems.”

Other chipmakers have jumped into the fray, for example Intel with its IPU (infrastructure processing unit). See HPCwire coverage from Hot Chips this year, Here Come the DPUs and IPUs from Arm, Nvidia and Intel.

Link to Nvidia press release, https://www.hpcwire.com/off-the-wire/nvidia-quantum-2-takes-supercomputing-to-new-heights-into-the-cloud/

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!

Intel’s Silicon Brain System a Blueprint for Future AI Computing Architectures

April 24, 2024

Intel is releasing a whole arsenal of AI chips and systems hoping something will stick in the market. Its latest entry is a neuromorphic system called Hala Point. The system includes Intel's research chip called Loihi 2, Read more…

Anders Dam Jensen on HPC Sovereignty, Sustainability, and JU Progress

April 23, 2024

The recent 2024 EuroHPC Summit meeting took place in Antwerp, with attendance substantially up since 2023 to 750 participants. HPCwire asked Intersect360 Research senior analyst Steve Conway, who closely tracks HPC, AI, Read more…

AI Saves the Planet this Earth Day

April 22, 2024

Earth Day was originally conceived as a day of reflection. Our planet’s life-sustaining properties are unlike any other celestial body that we’ve observed, and this day of contemplation is meant to provide all of us Read more…

Intel Announces Hala Point – World’s Largest Neuromorphic System for Sustainable AI

April 22, 2024

As we find ourselves on the brink of a technological revolution, the need for efficient and sustainable computing solutions has never been more critical.  A computer system that can mimic the way humans process and s Read more…

Empowering High-Performance Computing for Artificial Intelligence

April 19, 2024

Artificial intelligence (AI) presents some of the most challenging demands in information technology, especially concerning computing power and data movement. As a result of these challenges, high-performance computing 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 have occurred about once a decade. With this in mind, the ISC Read more…

Intel’s Silicon Brain System a Blueprint for Future AI Computing Architectures

April 24, 2024

Intel is releasing a whole arsenal of AI chips and systems hoping something will stick in the market. Its latest entry is a neuromorphic system called Hala Poin Read more…

Anders Dam Jensen on HPC Sovereignty, Sustainability, and JU Progress

April 23, 2024

The recent 2024 EuroHPC Summit meeting took place in Antwerp, with attendance substantially up since 2023 to 750 participants. HPCwire asked Intersect360 Resear Read more…

AI Saves the Planet this Earth Day

April 22, 2024

Earth Day was originally conceived as a day of reflection. Our planet’s life-sustaining properties are unlike any other celestial body that we’ve observed, 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…

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…

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…

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…

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…

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…

Intel’s Xeon General Manager Talks about Server Chips 

January 2, 2024

Intel is talking data-center growth and is done digging graves for its dead enterprise products, including GPUs, storage, and networking products, which fell to Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire