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NVIDIA Tesla V100 GPU 16GB PCIe 900-2G500-0000-000 for Deep Learning, AI, HPC and Research

(2 customer reviews)

$8,895.00 $7,450.00

Upgrade to 32GB Tesla V100 GPU

Please select the upgrade option below. We will ship the Tesla V100 32GB GPU (900-2G500-0010-000) to you instead of the 16GB (900-2G500-0000-000) version

The NVIDIA Tesla V100 16GB (900-2G500-0000-000) has been designed to accelerate AI, HPC, and graphics. Powered by NVIDIA’s latest GPU architecture, Tesla V100 offers the performance of up to 100 CPUs in a single GPU—enabling data scientists, researchers, and engineers to overcome challenges that were once thought impossible.

Key Features

  • Manufactured and supported by NVIDIA
  • Full-Height/Length PCI Express card
  • 250W Max Power Consumption
  • Passively cooled board
  • 16GB Memory Capacity
  • Condition: New
  • 3 Years Manufacturer’s Warranty
  • Manufacturer’s Model and Part Number: NVIDIA Tesla V100 16GB / 900-2G500-0000-000

For 32GB option, please visit NVIDIA Tesla V100 32GB GPU

Free upgrade to Overnight Shipping (USA Only). 

Note: Current lead time on V100 GPU is ~ 6 weeks. If you are in a rush, get a complete system with Tesla V100 GPUs installed for faster delivery (~2-3 weeks). All servers can be  configured with your cpu, memory, gpu requirements and loaded with your choice of NVIDIA Deep Learning Software Stack. Check out our broad V100 server portfolio here and send us your configuration details for pricing. 

Besides ~20% discount, the sale price above includes NVIDIA V100 Promo Discount of $200! Additional education and inception program discounts (subject to NVIDIA approval), please contact us.

As a NVIDIA Preferred Solution Provider, we are authorized by the manufacturer and deliver only new original factory packaged products. We strongly recommend against purchasing this or another NVIDIA product from unauthorized partners.

Description

NVIDIA Tesla V100 16GB (900-2G500-0000-000)

The NVIDIA Tesla V100 16GB (900-2G500-0000-000) is the world’s most advanced data center GPU ever built to accelerate AI, HPC, and graphics. Powered by NVIDIA Volta, the latest GPU architecture, Tesla V100 offers the performance of up to 100 CPUs in a single GPU—enabling data scientists, researchers, and engineers to tackle challenges that were once thought impossible.

Key Features

  • Sold and supported by NVIDIA
  • NVIDIA Volta Architecture
  • Full-Height/Length PCI Express card
  • 250W Max Power Consumption
  • Passively cooled board
  • 16GB HBM2 Stacked Memory Capacity
  • Manufacturer’s Part Number: 900-2G500-0000-000

GroundBreaking Volta Architecture

By pairing CUDA Cores and Tensor Cores within a unified architecture, a single server with Tesla V100 GPUs can replace hundreds of commodity CPU servers for traditional HPC and Deep Learning. TENSOR CORE Equipped with 640 Tensor Cores, Tesla V100 delivers 125 TeraFLOPS of deep learning performance. That’s 12X Tensor FLOPS for DL Training, and 6X Tensor FLOPS for DL Inference when compared to NVIDIA Pascal™ GPUs.

Next Generation NVLink

NVIDIA NVLink in Tesla V100 delivers 2X higher throughput compared to the previous generation. Up to eight Tesla V100 accelerators can be interconnected at up to 300 GB/s to unleash the highest application performance possible on a single server. HBM2 With a combination of improved raw bandwidth of 900 GB/s and higher DRAM utilization efficiency at 95%, Tesla V100 delivers 1.5X higher memory bandwidth over Pascal GPUs as measured on STREAM.

Maximum Efficiency Mode

The new maximum efficiency mode allows data centers to achieve up to 40% higher compute capacity per rack within the existing power budget. In this mode, Tesla V100 runs at peak processing efficiency, providing up to 80% of the performance at half the power consumption.

Programmability

Tesla V100 is architected from the ground up to simplify programmability. Its new independent thread scheduling enables finer-grain synchronization and improves GPU utilization by sharing resources among small jobs.

CUDA Ready

CUDA® is a parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs). With CUDA, developers are able to dramatically speed up computing applications by harnessing the power of GPUs.

In GPU-accelerated applications, the sequential part of the workload runs on the CPU – which is optimized for single-threaded performance – while the compute intensive portion of the application runs on thousands of GPU cores in parallel. When using CUDA, developers program in popular languages such as C, C++, Fortran, Python and MATLAB and express parallelism through extensions in the form of a few basic keywords.

The CUDA Toolkit from NVIDIA provides everything you need to develop GPU-accelerated applications. The CUDA Toolkit includes GPU-accelerated libraries, a compiler, development tools and the CUDA runtime.

Performance Specifications for NVIDIA Tesla P4, P40 and V100 Accelerators

Tesla V100: The Universal Datacenter GPUTesla P4 for Ultra-Efficient Scale-Out ServersTesla P40 for Inference Throughput Servers
Single-Precision Performance (FP32)14 teraflops (PCIe)
15.7 teraflops (SXM2)
5.5 teraflops12 teraflops
Half-Precision Performance (FP16)112 teraflops (PCIe)
125 teraflops (SXM2)
Integer Operations (INT8)22 TOPS*47 TOPS*
GPU Memory16 GB HBM28 GB24 GB
Memory Bandwidth900 GB/s192 GB/s346 GB/s
System Interface/Form FactorDual-Slot, Full-Height PCI Express Form Factor
SXM2 / NVLink
Low-Profile PCI Express Form FactorDual-Slot, Full-Height PCI Express Form Factor
Power250W (PCIe)
300W (SXM2)
50 W/75 W250 W
Hardware-Accelerated Video Engine1x Decode Engine, 2x Encode Engines1x Decode Engine, 2x Encode Engines

*Tera-Operations per Second with Boost Clock Enabled

Additional information

Weight8 lbs

2 reviews for NVIDIA Tesla V100 GPU 16GB PCIe 900-2G500-0000-000 for Deep Learning, AI, HPC and Research

  1. Arun K

    Using this for our artificial intelligence application..so far so good.

  2. L.Y

    We are happy to find an authorized NVIDIA partner that delivers. I don’t recommend buying such high end product from online stores that sell this product without proper authorization from manufacturer. Dihuni kept us posted about our order and although our package shipped out a couple days after initial date, we were happy that we were properly informed. Nice job Dihuni!

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