NVIDIA Tesla V100 32GB 900-2G500-0010-000 GPU

(11 customer reviews)


Out of stock

Above sale price includes NVIDIA V100 Promo Discount of $250!  Additional education and inception program discounts (subject to NVIDIA approval), please contact us.

NVIDIA Tesla V100 32GB 900-2G500-0010-000 GPU for Deep Learning AI, HPC, Analytics and Research

The NVIDIA Tesla V100 32GB GPU (900-2G500-0010-000) is used by our customers for Deep Learning and to accelerate AI, HPC, and graphics.  Tesla V100 offers the performance of up to 100 CPUs in a single GPU— helping data scientists, researchers, and engineers to overcome data challenges and deliver predictive and intelligent decisions based on deep analytics.

Key Features

  • Manufactured and supported by NVIDIA
  • Full-Height/Length PCI Express card
  • 250W Max Power Consumption
  • Passively cooled board
  • 32GB Memory Capacity
  • 3 Years Manufacturer’s Warranty
  • Condition: New
  • Manufacturer’s Part Number: 900-2G500-0010-000

As a NVIDIA Preferred Solution Provider, we are authorized by the manufacturer and deliver only original factory packaged products. 

Check out our broad V100 server portfolio here and send us your configuration details for pricing. 

Tesla V00 Datasheet


NVIDIA Tesla V100 32GB (900-2G500-0010-000)

The NVIDIA Tesla V100 32GB GPU (900-2G500-0010-000) is used by our customers for Deep Learning and to accelerate AI, HPC, and graphics.  Tesla V100 helps data scientists, researchers, and engineers overcome data challenges and deliver predictive and intelligent decisions based on deep analytics.

Key Features

  • Sold and supported by NVIDIA
  • NVIDIA Volta Architecture
  • Full-Height/Length PCI Express card
  • 250W Max Power Consumption
  • Passively cooled board
  • 32GB HBM2 Stacked Memory Capacity
  • Manufacturer’s Part Number: 900-2G500-0010-000

Double Memory than Previous Generation Tesla V100

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.

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.


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 GPU Tesla P4 for Ultra-Efficient Scale-Out Servers Tesla P40 for Inference Throughput Servers
Single-Precision Performance (FP32) 14 teraflops (PCIe)
15.7 teraflops (SXM2)
5.5 teraflops 12 teraflops
Half-Precision Performance (FP16) 112 teraflops (PCIe)
125 teraflops (SXM2)
Integer Operations (INT8) 22 TOPS* 47 TOPS*
GPU Memory 16/32 GB HBM2 8 GB 24 GB
Memory Bandwidth 900 GB/s 192 GB/s 346 GB/s
System Interface/Form Factor Dual-Slot, Full-Height PCI Express Form Factor
SXM2 / NVLink
Low-Profile PCI Express Form Factor Dual-Slot, Full-Height PCI Express Form Factor
Power 250W (PCIe)
300W (SXM2)
50 W/75 W 250 W
Hardware-Accelerated Video Engine 1x Decode Engine, 2x Encode Engines 1x Decode Engine, 2x Encode Engines

*Tera-Operations per Second with Boost Clock Enabled

Additional information

Weight 8 lbs
Dimensions 10.7 × 4.4 × 1 in

11 reviews for NVIDIA Tesla V100 32GB 900-2G500-0010-000 GPU

  1. Eric G

    Dihuni has the best competitive pricing in the market and great service. They shipped the Nvidia Tesla V100 32GB GPUs to us in an expedited time frame. These GPUs are crucial to our enterprise level very high volume video transcoding systems. Thanks again to the Dihuni team!

  2. Dean W

    We have ordered V100 cards multiple times from Dihuni and are very satisfied with their service, delivery and price. They helped us select the right card for our AI application. The V100 is top of the range and a bit pricey but is great for our application.

  3. A.M

    Dihuni shipped us the V100 GPU in an accelerated time-frame. The card will significantly enhance capability of our high fidelity physics-based simulations.

  4. David P

    Awesome product and great service and delivery in just about a week. Super happy with this company and will order more.

  5. Dihuni

    Periodically, we share external reviews/case studies on how this product is helping customers.

    Researchers from @Princeton are using the performance and memory of NVIDIA Tesla V100 Tensor Core GPUs at ORNL’s Summit supercomputer to get a glimpse of the earth’s interior.–64174

    The Ohio Supercomputer Center @osc has just installed a brand new GPU-accelerated cluster powered by @NVIDIA Tesla V100 Tensor Core #GPUs. The system will be used to develop applications in biomedicine, medical imaging and many other AI applications.–63458

  6. John L

    Your site made it easy to find this product. Great price and very easy ordering, fast delivery. Strongly recommend.

  7. 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!

  8. R.K

    This product does what it says! We are an IT consulting company and we ordered 10 V100 GPUs and a Supermicro barebones server. All delivered promptly to our client’s address. Thanks Dihuni team!

  9. Eduardo

    We bought 4 V100 32gb gpus and they were delivered directly from NVIDIA factory in great condition. I recommend this company.

  10. Dan

    Quick and efficient! I ordered 2 of this for my researcher and got the box on time. Good price.

  11. J.H

    With Dihuni’s prompt service, we got up to speed with NVIDIA Tesla V100 32GB GPU for our Deep Learning application. The product was just released by NVIDIA and Dihuni delivered on time for our project and without hassle!

Add a review

Your email address will not be published.

You may also like…