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Procurable · sourced on request

NVIDIA Tesla V100

UsedNVIDIAComputational scienceNetherlands
Procurable

Not in stock, available to order through our sourcing team

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CUDA Cores
5120
Tensor Cores
640
Double-Precision Performance
7.8 teraFLOPS
Single-Precision Performance
15.7 teraFLOPS
Memory Capacity
16 GB or 32 GB
Availability
Procurable
Lead time
Confirmed with your quote
All 17 specifications
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Specifications 17

Brands
NVIDIA
New/Used
Used
CUDA Cores
5120
Tensor Cores
640
Double-Precision Performance
7.8 teraFLOPS
Single-Precision Performance
15.7 teraFLOPS
Memory Capacity
16 GB or 32 GB
Memory Type
HBM2
Memory Bandwidth
900 GB/s
Interconnect Bandwidth
300 GB/s
PCI Express Interface
PCI Express 3.0 x16
Power Consumption
250 W
Dimensions
266.7 mm x 111.15 mm x 38.1 mm
Weight
1.18 kg
Form Factor
Dual-Slot
Availability
Procurable
Lead time
Confirmed with your quote

Product description

Data center GPU with 5,120 CUDA cores, 640 Tensor Cores, up to 32 GB HBM2, 7.8 TFLOPS double-precision compute.

NVIDIA® Tesla® V100 is a data centre GPU designed to accelerate artificial intelligence (AI), high-performance computing (HPC), and graphics workloads.

Key features include:

  • 5,120 CUDA cores and 640 Tensor Cores for enhanced parallel processing.
  • 16 GB or 32 GB HBM2 memory with up to 900 GB/s bandwidth for rapid data access.
  • NVLink 2.0 providing up to 300 GB/s interconnect bandwidth for efficient multi-GPU communication.
  • Double-precision performance of up to 7.8 teraFLOPS and single-precision performance up to 15.7 teraFLOPS.

The Tesla V100 is widely used in:

  • Biotechnology: Accelerating genomic sequencing, protein structure prediction, and drug discovery processes.
  • Molecular biology: Facilitating complex simulations and analyses.
  • Neuroscience: Enabling advanced brain imaging and neural network modelling.
  • Biomedical engineering: Supporting the development of medical devices and diagnostics.

Commonly adopted by:

  • University laboratories conducting cutting-edge research.
  • Biotechnology firms developing innovative therapies and diagnostics.
  • Clinical research centres performing advanced data analysis.
  • Pharmaceutical companies engaged in drug development.

First released in 2017, the Tesla V100 remains relevant in 2025, continuing to support demanding computational tasks in the biotechnology sector.

Why Questpair exists

Lab equipment markets are fragmented. Buyers spend weeks calling distributors, comparing quotes, and verifying supplier reliability. Sellers struggle to reach global research labs.

We built Questpair to fix this. Every supplier on the platform is verified before listing. Every quote you receive comes from a real, vetted seller. AI prepares your case in minutes, then a real specialist takes over.

We're an independent team based in The Netherlands, working with research labs and procurement teams across Europe and worldwide.

Frequently asked questions

How long does laboratory equipment typically last?

With a service contract, ten to fifteen years is normal for most benchtop instruments. Detectors and pumps are the parts that wear first.

Can I get service for older equipment?

Yes. Every verified supplier states which service partners cover the instrument, and we list that alongside the offer.

Where can I buy parts?

Ask a scientist through the request button. Parts are often available even when the instrument itself is discontinued.

What is the typical lead time for refurbished equipment?

Two to six weeks, depending on refurbishment scope and whether calibration is included.

Does laboratory equipment ship internationally?

We ship to 38 countries. Crating and customs handling are quoted with the instrument.

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Last updated 19 October 2026