Specifications Compared
| Spec | RTX 4090 | Tesla V100 16GB |
|---|---|---|
| TDP | 450W | 300W |
| VRAM | 24 GB | 16 GB |
| CUDA Cores | 16,384 | 5,120 |
| FP8 (dense) | 330.3 TFLOPS | Not published |
| Memory Type | GDDR6X | HBM2 |
| Architecture | Ada Lovelace | Volta |
| FP16 (dense) | 165.2 TFLOPS | 125 TFLOPS |
| Form Factors | PCIe | SXM2, PCIe |
| INT8 (dense) | 660.6 TOPS | Not published |
| Interconnect | PCIe 4.0 | NVLink, PCIe 3.0 |
| Tensor Cores | 512 | 640 |
| FP32 Performance | 82.6 TFLOPS | 15.7 TFLOPS |
| FP64 Performance | 1.3 TFLOPS | 7.8 TFLOPS |
| Memory Bandwidth | 1,008 GB/s | 900 GB/s |
| FP8 (with sparsity) | 660.6 TFLOPS | Not published |
| FP16 (with sparsity) | 330.4 TFLOPS | Not published |
| INT8 (with sparsity) | 1,321.2 TOPS | Not published |
Performance Analysis
The RTX 4090 variant delivers 165.2 TFLOPS in dense FP16 and 82.6 TFLOPS in FP32 while the Tesla V100 16GB variant delivers 125 TFLOPS in dense FP16 and 15.7 TFLOPS in FP32. This dense FP16 advantage of 165.2 TFLOPS over 125 TFLOPS allows the RTX 4090 variant to complete matrix operations in training workloads at a higher rate than the Tesla V100 16GB variant when both operate without sparsity. The memory bandwidth of 1008 GB per second shared across RTX 4090 variants supports larger batch sizes than the 900 GB per second shared across V100 variants during inference passes that move substantial activation data. When sparsity is enabled the RTX 4090 variant reaches 330.4 TFLOPS in FP16 with sparsity compared with the 125 TFLOPS dense FP16 figure of the Tesla V100 16GB variant.
Current On-Demand Offers
Cheapest secure on-demand offer per provider that is reported in stock right now, per GPU per hour; multi-GPU instances show the whole-instance price alongside. Deploy opens the DeployGPU console for providers on the platform, otherwise the provider's own site. Stock is rechecked every minute.
RTX 4090
| Provider | Region | GPUs | Per GPU / hr | Instance / hr | Deploy |
|---|---|---|---|---|---|
| Vast.ai | United Kingdom, GB | 4 | $0.45 | $1.81 | Deploy |
| RunPod | global | 1 | $0.89 | — | Deploy |
| LeaderGPU | The Netherlands | 1 | $1.66 | — | Deploy |
3 providers in stock, 10 offers (cheapest per provider shown). All RTX 4090 offers, price history and alerts
Tesla V100 16GB
| Provider | Region | GPUs | Per GPU / hr | Instance / hr | Deploy |
|---|---|---|---|---|---|
| Ori | beauharnois | 1 | $0.83 | — | Deploy |
| Paperspace | ca1 | 1 | $2.30 | — | Deploy |
2 providers in stock, 71 offers (cheapest per provider shown). All Tesla V100 16GB offers, price history and alerts
Notify me when RTX 4090 drops below a price
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When to Choose the RTX 4090
Scenarios involving large batch inference or fine tuning on consumer scale hardware favor this variant because its 82.6 TFLOPS FP32 exceeds the 15.7 TFLOPS of the Tesla V100 16GB variant by a wide margin.
When to Choose the Tesla V100 16GB
The Tesla V100 16GB variant fits multi node clusters that utilize NVLink interconnects available in its SXM2 form factor for collective operations across multiple GPUs. Workloads that operate within 16 GB HBM2 limits and rely on the 300 W TDP for dense rack deployments select this variant when existing Volta software stacks are already validated.
Use Cases
The RTX 4090 variant supplies 24 GB GDDR6X and 165.2 TFLOPS dense FP16 which exceed the 16 GB and 125 TFLOPS dense FP16 of the Tesla V100 16GB variant for single node model training.
The RTX 4090 variant provides 1008 GB per second memory bandwidth and 330.4 TFLOPS FP16 with sparsity which support larger batch inference than the 900 GB per second and 125 TFLOPS dense FP16 of the Tesla V100 16GB variant.
The RTX 4090 variant offers 24 GB memory and 82.6 TFLOPS FP32 which allow fine tuning runs that exceed the capacity and 15.7 TFLOPS FP32 of the Tesla V100 16GB variant.
The RTX 4090 variant delivers 660.6 TOPS INT8 dense which accelerate diffusion model steps beyond the capabilities documented for the Tesla V100 16GB variant.
The Tesla V100 16GB variant supports NVLink interconnects in SXM2 form factor which enable multi GPU scaling in established scientific codes that predate Ada Lovelace architecture.
Frequently Asked Questions
What is the memory difference between the RTX 4090 and Tesla V100 16GB variants?▾
The RTX 4090 variant contains 24 GB GDDR6X while the Tesla V100 16GB variant contains 16 GB HBM2. This capacity gap affects the maximum model size that fits without offloading during training sessions.
How do the FP32 figures compare for these two GPUs?▾
The RTX 4090 variant achieves 82.6 TFLOPS FP32 and the Tesla V100 16GB variant achieves 15.7 TFLOPS FP32. The difference influences performance in precision sensitive scientific simulations that rely on single precision arithmetic.
What are the TDP values for the RTX 4090 and Tesla V100 16GB variants?▾
The RTX 4090 variant carries a 450 W TDP and the Tesla V100 16GB variant carries a 300 W TDP. These power figures determine cooling and power supply requirements in server deployments.
Can the RTX 4090 variant run workloads originally written for the Tesla V100 16GB variant?▾
The RTX 4090 variant supports CUDA cores and can execute Volta era code with recompilation while the Tesla V100 16GB variant remains limited to its original 125 TFLOPS dense FP16 ceiling. Architecture differences require validation of numerical results after migration.
Which is cheaper to rent, the RTX 4090 or the Tesla V100 16GB?▾
Cloud rental prices for both the RTX 4090 and Tesla V100 16GB vary by provider, configuration, and availability. This page shows live pricing from 25+ providers updated every 60 seconds. Scroll to the Live Cloud Pricing section to compare current rates.
How much VRAM does the RTX 4090 have compared to the Tesla V100 16GB?▾
The RTX 4090 has 24 GB of GDDR6X memory. The Tesla V100 16GB has 16 GB of HBM2 memory.
Can I find RTX 4090 and Tesla V100 16GB GPUs available to rent right now?▾
Yes. This page shows real-time availability across 25+ cloud GPU providers. The Live Cloud Pricing section displays only in-stock offers with current pricing.
What is the main difference between the RTX 4090 and the Tesla V100 16GB?▾
The RTX 4090 uses the Ada Lovelace architecture (2022) while the Tesla V100 16GB uses Volta (2017). The RTX 4090 delivers 1.3x the dense FP16 throughput (165.2 vs 125 TFLOPS, both without sparsity) and 1.1x the memory bandwidth of the Tesla V100 16GB.
Rent these GPUs
Each GPU page lists every current on-demand offer by provider, per GPU-hour, updated every minute.
Related comparisons
How this page is made
- Specifications come from the NVIDIA, AMD and Intel datasheets for the RTX 4090 and the Tesla V100 16GB. Dense and sparse throughput are listed separately.
- Prices and availability are live: every offer shown is an in-stock, on-demand listing from a provider we track, rechecked every minute.
- The written comparison (overview, performance notes, when to choose each card, verdict, use cases and FAQ) was drafted with an AI model from the specification table above and passed an automated check that rejects any figure not in that table. It was last generated on . It contains no prices; those are always read live.
- Read how we collect the data, or report an error on this page.
Next steps
- Rent RTX 4090Every current offer by provider, daily price history and a price alert.
- Rent V100Every current offer by provider, daily price history and a price alert.
- GPU price indexHow on-demand prices for the major GPUs have moved, updated daily.
- All GPUsEvery GPU we track, with current lows and provider counts.