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Primeur weekly 2018-04-03

Quantum computing

Putting quantum scientists in the driver's seat ...

Focus on Europe

Tuesday and Wednesday keynotes announced for ISC 2018 ...

PRACE SHAPE 7th Call for Applications opens from 3 April to 1 June 2018 ...

Cray commissioned to deliver FPGA-accelerated supercomputer to Paderborn University ...

Developing the technology for future smart cities and autonomous cars ...

Philips Research-led big data consortium receives EU funding to improve healthcare outcomes ...

Middleware

Bright partners with Bechtle to offer infrastructure management solutions to French customer base ...

The Linux Foundation and open source community members launch LF Deep Learning to drive open source growth in AI ...

Hardware

NVIDIA boosts world's leading deep learning computing platform, bringing 10x performance gain in six months ...

NVIDIA expands its deep learning inference capabilities for hyperscale data centres ...

DDN Storage announces groundbreaking 33GB/s performance to NVIDIA DGX servers to accelerate machine learning and AI initiatives ...

DDN and SQream partner to deliver the world's fastest Big Data analytics and enterprise business intelligence acceleration at massive scale ...

DDN Storage helps Standard Cognition revolutionize the consumer shopping experience with fully autonomous check-out ...

Supermicro's new scale-up artificial intelligence and machine learning systems with 8 NVIDIA Tesla V100 with NVLink GPUs deliver superior performance and system density ...

NVIDIA reinvents the workstation with real-time ray tracing ...

Penguin Computing receives Americas 2017 NVIDIA Partner Network High Performance Computing Partner of the Year Award ...

Molecular basis of neural memory - reviewing 'neuro-mimetic' technologies ...

Asperitas and Boston announce Immersed Computing partnership ...

NVIDIA and Arm partner to bring deep learning to billions of IoT devices ...

Applications

ANSYS to acquire optical simulation leader OPTIS ...

NCSA's Donna Cox wins 2018 Innovation Transfer Award ...

The future of photonics using quantum dots ...

Chemical synthesis with artificial intelligence: Researchers develop new computer method ...

Hong Kong Polytechnic University and Australian partners jointly launch impactful research on blockchain technologies ...

New Cray artificial intelligence offerings designed to accelerate customers' AI from pilot to production ...

Overcoming a battery's fatal flaw ...

The Cloud

DDN named Data Centre Platform partner of the year at Intel Technology Partner Awards, recognizing its market leadership at scale ...

Oracle redefines the Cloud database category with world's first autonomous database ...

The Linux Foundation announces expanded industry commitment to Akraino Edge Stack ...

OpenContrail is now "Tungsten Fabric" and completes move to The Linux Foundation ...

NVIDIA boosts world's leading deep learning computing platform, bringing 10x performance gain in six months


27 Mar 2018 Silicon Valley - NVIDIA has unveiled a series of important advances to its world-leading deep learning computing platform, which delivers a 10x performance boost on deep learning workloads compared with the previous generation six months ago.

Key advancements to the NVIDIA platform - which has been adopted by every major Cloud-services provider and server maker - include a 2x memory boost to NVIDIA Tesla V100, the most powerful data centre GPU, and a revolutionary new GPU interconnect fabric called NVIDIA NVSwitch, which enables up to 16 Tesla V100 GPUs to simultaneously communicate at a record speed of 2.4 terabytes per second. NVIDIA also introduced an updated, fully optimized software stack.

Additionally, NVIDIA launched a major breakthrough in deep learning computing with NVIDIA DGX-2, the first single server capable of delivering two petaflops of computational power. DGX-2 has the deep learning processing power of 300 servers occupying 15 racks of datacenter space, while being 60x smaller and 18x more power efficient.

"The extraordinary advances of deep learning only hint at what is still to come", stated Jensen Huang, NVIDIA founder and CEO, as he unveiled the news at GTC 2018. "Many of these advances stand on NVIDIA's deep learning platform, which has quickly become the world's standard. We are dramatically enhancing our platform's performance at a pace far exceeding Moore's law, enabling breakthroughs that will help revolutionize health care, transportation, science exploration and countless other areas."

The Tesla V100 GPU, widely adopted by the world's leading researchers, has received a 2x memory boost to handle the most memory-intensive deep learning and high performance computing workloads.

Now equipped with 32GB of memory, Tesla V100 GPUs will help data scientists train deeper and larger deep learning models that are more accurate than ever. They can also improve the performance of memory-constrained HPC applications by up to 50 percent compared with the previous 16GB version.

The Tesla V100 32GB GPU is immediately available across the complete NVIDIA DGX system portfolio. Additionally, major computer manufacturers Cray, Hewlett Packard Enterprise, IBM, Lenovo, Supermicro and Tyan announced they will begin rolling out their new Tesla V100 32GB systems within the second quarter. Oracle Cloud Infrastructure also announced plans to offer Tesla V100 32GB in the Cloud in the second half of the year.

NVSwitch offers 5x higher bandwidth than the best PCIe switch, allowing developers to build systems with more GPUs hyperconnected to each other. It will help developers break through previous system limitations and run much larger datasets. It also opens the door to larger, more complex workloads, including modelling parallel training of neural networks.

NVSwitch extends the innovations made available through NVIDIA NVLink, the first high-speed interconnect technology developed by NVIDIA. NVSwitch allows system designers to build even more advanced systems that can flexibly connect any topology of NVLink-based GPUs.

The updates to NVIDIA's deep learning and HPC software stack are available at no charge to its developer community, which now totals more than 820,000 registered users, compared with about 480,000 a year ago.

Among its updates are new versions of NVIDIA CUDA, TensorRT, NCCL and cuDNN, and a new Isaac software developer kit for robotics. Additionally, through close collaboration with leading cloud service providers, every major deep learning framework is continually optimized to take full advantage of NVIDIA's GPU computing platform.

NVIDIA's new DGX-2 system reached the two petaflop milestone by drawing from a wide range of industry-leading technology advances developed by NVIDIA at all levels of the computing stack.

DGX-2 is the first system to debut NVSwitch, which enables all 16 GPUs in the system to share a unified memory space. Developers now have the deep learning training power to tackle the largest datasets and most complex deep learning models.

Combined with a fully optimized, updated suite of NVIDIA deep learning software, DGX-2 is purpose-built for data scientists pushing the outer limits of deep learning research and computing.

DGX-2 can train FAIRSeq, a state-of-the-art neural machine translation model, in less than two days - a 10x improvement in performance from the DGX-1 with Volta, introduced in September.

"Our collaboration with NVIDIA on AI technologies includes recent breakthroughs in Chinese-to-English translation", stated Xuedong Huang, technical fellow and head of speech and language at Microsoft. "With the new Tesla V100 32GB GPUs, we will be able to train larger, more complex AI models faster. This will help extend the accuracy of our models on speech recognition and machine translation reaching human capabilities and enhancing offerings such as Cortana, Bing and Microsoft Translator."

"We evaluated DGX-1 with the new Tesla V100 32GB for our SAP Brand Impact application, which automatically analyzes brand exposure in videos in near real-time", stated Michael Kemelmakher, vice president, SAP Innovation Center, Israel. "The additional memory improved our ability to handle higher definition images on a larger ResNet-152 model, reducing error rate by 40 percent on average. This results in accurate, timely and auditable services at scale."

DGX-2 is the latest addition to the NVIDIA DGX product portfolio, which consists of three systems designed to help data scientists quickly develop, test, deploy and scale new deep learning models and innovations.

DGX-2, with 16 GPUs, is the top of the line-up. It joins the NVIDIA DGX-1 system, which features eight Tesla V100 GPUs, and DGX Station, the world's first personal deep learning supercomputer, with four Tesla V100 GPUs in a compact, deskside design. These systems enable data scientists to scale their work from the complex experiments they run at their desks to the largest deep learning problems, allowing them to do their life's work.
Source: NVIDIA

Back to Table of contents

Primeur weekly 2018-04-03

Quantum computing

Putting quantum scientists in the driver's seat ...

Focus on Europe

Tuesday and Wednesday keynotes announced for ISC 2018 ...

PRACE SHAPE 7th Call for Applications opens from 3 April to 1 June 2018 ...

Cray commissioned to deliver FPGA-accelerated supercomputer to Paderborn University ...

Developing the technology for future smart cities and autonomous cars ...

Philips Research-led big data consortium receives EU funding to improve healthcare outcomes ...

Middleware

Bright partners with Bechtle to offer infrastructure management solutions to French customer base ...

The Linux Foundation and open source community members launch LF Deep Learning to drive open source growth in AI ...

Hardware

NVIDIA boosts world's leading deep learning computing platform, bringing 10x performance gain in six months ...

NVIDIA expands its deep learning inference capabilities for hyperscale data centres ...

DDN Storage announces groundbreaking 33GB/s performance to NVIDIA DGX servers to accelerate machine learning and AI initiatives ...

DDN and SQream partner to deliver the world's fastest Big Data analytics and enterprise business intelligence acceleration at massive scale ...

DDN Storage helps Standard Cognition revolutionize the consumer shopping experience with fully autonomous check-out ...

Supermicro's new scale-up artificial intelligence and machine learning systems with 8 NVIDIA Tesla V100 with NVLink GPUs deliver superior performance and system density ...

NVIDIA reinvents the workstation with real-time ray tracing ...

Penguin Computing receives Americas 2017 NVIDIA Partner Network High Performance Computing Partner of the Year Award ...

Molecular basis of neural memory - reviewing 'neuro-mimetic' technologies ...

Asperitas and Boston announce Immersed Computing partnership ...

NVIDIA and Arm partner to bring deep learning to billions of IoT devices ...

Applications

ANSYS to acquire optical simulation leader OPTIS ...

NCSA's Donna Cox wins 2018 Innovation Transfer Award ...

The future of photonics using quantum dots ...

Chemical synthesis with artificial intelligence: Researchers develop new computer method ...

Hong Kong Polytechnic University and Australian partners jointly launch impactful research on blockchain technologies ...

New Cray artificial intelligence offerings designed to accelerate customers' AI from pilot to production ...

Overcoming a battery's fatal flaw ...

The Cloud

DDN named Data Centre Platform partner of the year at Intel Technology Partner Awards, recognizing its market leadership at scale ...

Oracle redefines the Cloud database category with world's first autonomous database ...

The Linux Foundation announces expanded industry commitment to Akraino Edge Stack ...

OpenContrail is now "Tungsten Fabric" and completes move to The Linux Foundation ...