NVIDIA Boosts World’s Leading Deep Learning Computing Platform

Gain Driven by New Tesla V100 32GB GPU with 2x the Memory, Revolutionary NVSwitch Fabric, Comprehensive Software Stack; DGX-2 Is First 2 Petaflop Deep Learning System

GPU Technology Conference — NVIDIA today 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 datacenter 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.


Tesla V100 Gets Double the Memory


The Tesla V100 32GB GPU is immediately available across the complete NVIDIA DGX system portfolio. Additionally, major computer manufacturers CrayHewlett Packard EnterpriseIBMLenovoSupermicro 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: A Revolutionary Interconnect Fabric


Advanced GPU-Accelerated Deep Learning and HPC Software Stack

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 DGX-2: World’s First Two Petaflop System 




Industry Support for Tesla V100 32GB
“Our collaboration with NVIDIA on AI technologies includes recent breakthroughs in Chinese-to-English translation,” said 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,” said 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.”

NVIDIA DGX Product Portfolio
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.
