NVIDIA Tesla V100

NVIDIA32GB HBM2SXM2 / PCIeVolta

Data updated 2026-11-04 15:09 UTC · refreshed every 5 min

Current Price

$0.12/hr

From $0.07/hr · lowest live offer

1404 GPU · High availability

Current Price

$0.12

+0.0% (24h)

Available Now

1404 GPU

High availability

Total in Network

2141 GPU

Live data

Utilization

34.4%

Stable

Market history

Price Tracking

USD/hour (minimum · median)

Available GPUs

Ready to rent

Total in Network

Infrastructure Growth

Which LLMs run on one NVIDIA Tesla V100

Open VRAM calculator with Tesla V100

Estimated with our VRAM calculator for a single card: 8K context, 4 concurrent users, vLLM-style serving.

Largest that fitsINT4 / AWQ

Qwen3.6 35B A3B

35B MoE · 3B active

23.8 of 32 GB74%

~80 tok/s per stream

Details

Where the memory goes

  • Model weights21.88 GB
  • KV cache0.67 GB
  • Activations0.01 GB
  • CUDA & framework1.19 GB
Precision
INT4 / AWQ
Serving preset
8K context × 4 users
Users at this context
53
Spare context in leftover VRAM
279K
Fit score
68/100 · High
Open in VRAM calculator
BalancedINT4 / AWQ

Qwen3-14B

14B

16.9 of 32 GB53%

~47 tok/s per stream

Details

Where the memory goes

  • Model weights9.33 GB
  • KV cache6.44 GB
  • Activations0.03 GB
  • CUDA & framework1.07 GB
Precision
INT4 / AWQ
Serving preset
8K context × 4 users
Users at this context
13
Spare context in leftover VRAM
93K
Fit score
83/100 · Moderate
Open in VRAM calculator
CompactFP16

Qwen3.5-4B

4B

11.4 of 32 GB35%

~67 tok/s per stream

Details

Where the memory goes

  • Model weights9.20 GB
  • KV cache1.07 GB
  • Activations0.06 GB
  • CUDA & framework1.02 GB
Precision
FP16
Serving preset
8K context × 4 users
Users at this context
80
Spare context in leftover VRAM
565K
Fit score
93/100 · Comfortable
Open in VRAM calculator

Estimates, not benchmarks: real usage depends on the runtime, context and batch settings.

Technical Specifications

Memory

32GB HBM2

FP32 Performance

15.7 TFLOPS

Tensor Performance

125 TFLOPS

Memory Bandwidth

900 GB/s

Architecture

Volta

TDP

300W

FP64 Performance

7.8 TFLOPS

CUDA Cores

5120

Tensor Cores

640

Ideal Use Cases

AI TrainingDeep LearningHPCScientific ComputingResearch

About NVIDIA Tesla V100

The Tesla V100 remains a solid choice for AI training with its HBM2 memory.

The NVIDIA Tesla V100 features 32GB of HBM2 memory with 900 GB/s bandwidth, making it excellent for ai training, deep learning, hpc. With 125 TFLOPS tensor performance and 15.7 TFLOPS FP32 compute, this NVIDIA Volta GPU delivers exceptional performance for demanding workloads.

Currently, 2141 GPU Tesla V100 GPUs are available in the GPUniq network with 34.4% utilization. The average rental price is $0.12 per hour, with 1404 GPU ready for immediate deployment.

Tesla V100 vs similar GPUs — specs & live rental prices

Prices are live minimum / median USD per hour on the GPUniq marketplace, as of 2026-11-04 15:09 UTC.

GPUVRAMArchitectureFP32TensorBandwidthTDPMin $/hrMedian $/hrAvailable
Tesla V10032GB HBM2Volta15.7 TFLOPS125 TFLOPS900 GB/s300W$0.07$0.121481
Tesla T416GB GDDR6Turing8.1 TFLOPS65 TFLOPS320 GB/s70W$0.20$0.201
Tesla P10016GB HBM2Pascal9.3 TFLOPSN/A732 GB/s250W——0
Tesla P4024GB GDDR5Pascal12.0 TFLOPSN/A346 GB/s250W$0.16$0.164

Frequently Asked Questions

How much does it cost to rent NVIDIA Tesla V100?

The current rental price for NVIDIA Tesla V100 is $0.12 per hour on GPUniq. Prices may vary based on demand and availability.

What is NVIDIA Tesla V100 best used for?

NVIDIA Tesla V100 is ideal for AI Training, Deep Learning, HPC, Scientific Computing, Research. With 32GB of HBM2 memory and 125 TFLOPS tensor performance, it excels at demanding AI and compute workloads.

How many NVIDIA Tesla V100 GPUs are available for rent?

Currently, there are 1404 GPU available for immediate rental out of 2141 GPU total in the GPUniq network. The current utilization is 34.4%.

Which LLMs can run on NVIDIA Tesla V100?

On a single NVIDIA Tesla V100, our VRAM calculator fits Qwen3.6 35B A3B (INT4 / AWQ, 23.8 of 32 GB); Qwen3-14B (INT4 / AWQ, 16.9 of 32 GB); Qwen3.5-4B (FP16, 11.4 of 32 GB) — estimated at 8K context with 4 concurrent users.

What are the specifications of NVIDIA Tesla V100?

NVIDIA Tesla V100 features 32GB HBM2 memory, 15.7 TFLOPS FP32 performance, 125 TFLOPS tensor performance, 900 GB/s memory bandwidth, and 300W TDP. It uses the Volta architecture.

Related GPUs in Tesla Series

GPU rental guides

NVIDIA official specificationsAPI docsAbout GPUniqContact supportPrivacy policyTerms of use

$0.12/hr

Tesla V100 · 1404 GPU

Rent now