Tesla V100 SXM2 rental prices: cheapest $/hr today
The cheapest on-demand Tesla V100 SXM2 rental today is $0.17/hr on TensorDock, updated 2026-10-02. 16 GB VRAM, NVIDIA.
Pricing at a glance
All current Tesla V100 SXM2 offers
2 offers. Rates are per GPU; total is for the smallest listed node.
| GPU / provider | Billing | $/GPU-hour | GPUs / total per hour | Availability | CPU / RAM / disk | Region | Updated | Action |
|---|---|---|---|---|---|---|---|---|
| Tesla V100 SXM2 TensorDock | on-demand | $0.17+0.0% over 30 days | Node minimum and total not reported | Not reported | vCPU not reportedRAM not reportedDisk not reported | Not reported | 2026-10-02 | View providerReport this price |
| Tesla V100 SXM2 RunPod | community cloud | $0.23+0.0% over 30 days | Node minimum and total not reported | Not reported | vCPU not reportedRAM not reportedDisk not reported | Not reported | 2026-10-02 | View providerReport this price |
Tables rank by price, lowest first. Commercial relationships never affect ordering.How we collect and rank prices.
On-demand and secure rates do not require a reservation. Community and spot capacity can be interrupted. Prices are per GPU per hour, before storage/egress. Every row shows its update date.
Compare Tesla V100 SXM2 configurations
Tesla V100 SXM2 purchase prices · Rent or buy calculator · Compare two GPUs
LLM memory estimates for this GPU
These models have an estimated inference footprint within 16 GB at one or more precisions. The scenario uses 4,096 tokens, batch 1, a 16-bit KV cache and 20% runtime headroom. A memory fit does not establish speed or software compatibility.
| Model | 16-bit GB | 8-bit GB | 4-bit GB |
|---|---|---|---|
| Qwen2.5 0.5B | 1.2 ✓ | 0.7 ✓ | 0.4 ✓ |
| Qwen2.5 1.5B | 3.8 ✓ | 2.0 ✓ | 1.1 ✓ |
| Qwen2.5 3B | 7.6 ✓ | 3.9 ✓ | 2.0 ✓ |
| Qwen2.5 7B | 18.6 | 9.4 ✓ | 4.9 ✓ |
| Qwen2.5 14B | 36.4 | 18.7 | 9.8 ✓ |
| Qwen2.5 Coder 0.5B | 1.2 ✓ | 0.7 ✓ | 0.4 ✓ |
| Qwen2.5 Coder 1.5B | 3.8 ✓ | 2.0 ✓ | 1.1 ✓ |
| Qwen2.5 Coder 3B | 7.6 ✓ | 3.9 ✓ | 2.0 ✓ |
| Qwen2.5 Coder 7B | 18.6 | 9.4 ✓ | 4.9 ✓ |
| Qwen2.5 Coder 14B | 36.4 | 18.7 | 9.8 ✓ |
| Qwen3 0.6B | 2.4 ✓ | 1.5 ✓ | 1.0 ✓ |
| Qwen3 1.7B | 5.4 ✓ | 3.0 ✓ | 1.8 ✓ |
| Qwen3 4B | 10.4 ✓ | 5.6 ✓ | 3.1 ✓ |
| Qwen3 8B | 20.4 | 10.6 ✓ | 5.6 ✓ |
| Qwen3 14B | 36.2 | 18.5 | 9.7 ✓ |
| DeepSeek R1 Distill Qwen 1.5B | 4.4 ✓ | 2.3 ✓ | 1.2 ✓ |
| DeepSeek R1 Distill Qwen 7B | 18.6 | 9.4 ✓ | 4.9 ✓ |
| DeepSeek R1 Distill Qwen 14B | 36.4 | 18.7 | 9.8 ✓ |
| DeepSeek R1 Distill Llama 8B | 19.9 | 10.3 ✓ | 5.5 ✓ |
| Mistral 7B v0.3 | 18.0 | 9.3 ✓ | 5.0 ✓ |
| Mistral Small 24B 2501 | 57.4 | 29.1 | 14.9 ✓ |
| Mistral Nemo 2407 | 30.2 | 15.5 ✓ | 8.2 ✓ |
| phi 4 | 36.2 | 18.6 | 9.8 ✓ |
Compare model memory requirements or change context and memory assumptions on a model's page.
When to choose Tesla V100 SXM2
Use the model memory estimates above to check whether your weights, context and batch size fit within 16 GB. Then compare the exact variant, node size and software support. Capacity alone does not establish inference speed or training throughput.
Tesla V100 SXM2 price changes
- 30 days: 0.0% across 1 matching firm-price configurations since 2026-09-02.
- 90 days: No matching dated observations for this comparison.
Changes use the geometric mean of price ratios for the same provider, variant, tier, GPU count, instance and region. New listings are not counted as price changes.
Price history
on-demand rate per day, since 2026-07-18: $0.17 low · $0.17 high. Full ledger on the history hub.
FAQ
The cheapest Tesla V100 SXM2 rental we have is $0.17 per GPU-hour on TensorDock (on-demand), updated 2026-10-02.
16 GB.
TensorDock has the cheapest verified on-demand rate today at $0.17 per GPU-hour; interruptible spot/community capacity starts at $0.23. Verified 2026-10-02.
Related
All 24 GB+ GPUs · GPUs under $1/hr · Price movers this week · TensorDock review
Should you rent or buy?
Compare Tesla V100 SXM2 purchase prices and quote availability, then enter your usage and electricity costs in the rent-versus-buy calculator. Purchase listings have their own variants, stock status and update dates.