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Six Reasons to Step-Up to DGX-1 with Volta – Because AI Doesn’t Wait

Chloe Shi 0

NVIDIA® DGX-1™, the most powerful Deep Learning computing engine on the market, is inspired by the demands of AI and data science to fast track Deep Learning development out-of-the-box. Among the worlds’ first portfolio of AI supercomputers, the DGX-1 accelerates Deep Learning workflow from desktops, to data centers and into the cloud. For those of you who are currently using the DGX-1 with Tesla P100 GPUs, based on the Pascal architecture, here are six reasons why you should upgrade to the AI “Fast Lane” with Volta.

Reason 1: Record-Breaking Performance

DGX-1 Volta delivers 3x the performance of DGX-1 Pascal by packing 8x Tesla V100 GPUs to provide 1 petaFLOPS of “data-center-like” compute power in one enclosure, using only 3500W power and only 3 RU of space. Currently being the world’s most advanced data center GPU to accelerate AI, the Tesla V100 GPU delivers 125 Tensor TFLOPS by leveraging 5,120 CUDA cores and 640 Tensor cores. With its performance-engineered Deep Learning software stack, DGX-1 delivers 30% faster training than other GPU-based systems.

Reason 2: The Power of Tensor Cores

While many solutions offer GPU-accelerated performance, DGX-1 unlocks the full potential of Tesla® V100 GPUs, NVLink™ and the new Tensor Core architecture. With 640 Tensor cores, Tesla V100 is the world’s first GPU to break the 100 TFLOPS barrier of Deep Learning performance. The next generation of NVIDIA® NVLink™ connects multiple V100 GPUs at up to 300 GB/s, for 10x the I/O performance of PCIe connected GPUs, to create the world’s most powerful computing servers. AI models that would consume weeks of computing resources can now be trained in a few days.

Reason 3: Training and Inference in One Platform

Google has stated that 7ms is an optimal latency target for real-time inference-based workloads, and Tesla V100 GPUs are able to deliver 3x more throughput performance when compared with P100s, and 40x more when compared to a CPU-only server within the 7-millisecond latency budget.

Reason 4: Your DGX-1 is Faster and Smarter with Volta

The DGX Software Stack taps into the best of Volta technology. Engineers can now benefit from faster training cycles using Volta optimizations for leading Deep Learning frameworks, including Caffe, Caffe2, MXNet, PyTorch and TensorFlow, Theano and Torch. The NVIDIA Collective Communications Library (NCCL) 2.1 Volta-optimized version delivers over 90% multi-node, multi-GPU scaling efficiency for Deep Learning training.

Reason 5: Accelerated ROI on Deep Learning

Accelerated training means faster time-to-insights and lower operation expenses on non-value add effort. A recent study by Forrester Research found that companies using DGX-1 saw an average of $2.4M in incremental revenue, and $436k saved in data scientist productivity.

Reason 6: Volta Upgrade Promotion – Take Action Now!

Get onto the AI “Fast Lane” at an unbelievable price. Now through March 30th, 2018, purchase the DGX-1 Volta Upgrade kit for only $39,200 (20% discount.) As an Elite member of the NVIDIA Partner Network Program, AMAX is ready to deliver on-site training and installation, in addition to NVIDIA DGX System Support. With your DGX-1 Volta upgrade kit, no change to existing power supply will be needed. All installation can be completed in as fast as 3 hours, with system performance and operation validated.

All this sound amazing but you don’t even have a DGX-1? Contact us immediately to set up a consultation on how the DGX-1 can fast track your AI development and accelerate your ROI. For more information about the DGX portfolio of AI supercomputers or about how to sign up for the Volta upgrade, email us at The full catalog of AMAX’s award-winning Deep Learning solutions can be found at