Specifications Compared
| Spec | RTX 4090 | Tesla V100 32GB |
|---|---|---|
| TDP | 450W | 300W |
| VRAM | 24 GB | 32 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 delivers 165.2 TFLOPS in dense FP16 while the Tesla V100 32GB delivers 125 TFLOPS in dense FP16 so the RTX 4090 provides higher throughput for operations that use dense FP16 arithmetic. In FP32 the RTX 4090 reaches 82.6 TFLOPS against 15.7 TFLOPS on the Tesla V100 32GB which widens the gap for single precision workloads. The 1008 GB/s memory bandwidth shared across RTX 4090 variants exceeds the 900 GB/s shared across V100 variants and this difference allows larger batch sizes during training or inference when memory access limits performance. The 450 W TDP shared by RTX 4090 variants exceeds the 300 W TDP shared by V100 variants so power draw rises with the newer card. Direct comparison of dense FP16 figures shows the RTX 4090 at 165.2 TFLOPS versus the Tesla V100 32GB at 125 TFLOPS without mixing sparsity modes.
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 |
|---|---|---|---|---|---|
| RunPod | global | 1 | $0.89 | — | Deploy |
| Vast.ai | Hungary, HU | 1 | $1.33 | — | Deploy |
| LeaderGPU | The Netherlands | 1 | $1.66 | — | Deploy |
3 providers in stock, 7 offers (cheapest per provider shown). All RTX 4090 offers, price history and alerts
Tesla V100 32GB
| Provider | Region | GPUs | Per GPU / hr | Instance / hr | Deploy |
|---|---|---|---|---|---|
| VERDA | FIN-HEL | 1 | $0.23 | — | Deploy |
| Ori | beauharnois | 4 | $0.83 | $3.32 | Deploy |
| Paperspace | ca1 | 1 | $2.30 | — | Deploy |
3 providers in stock, 72 offers (cheapest per provider shown). All Tesla V100 32GB offers, price history and alerts
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When to Choose the RTX 4090
The RTX 4090 variant suits inference tasks that benefit from its 165.2 TFLOPS dense FP16 rating and 1008 GB/s bandwidth when PCIe 4.0 connectivity matches the host system. Its 24 GB GDDR6X memory supports models that fit within that capacity while the higher FP32 rating of 82.6 TFLOPS accelerates mixed precision workloads compared with older cards.
When to Choose the Tesla V100 32GB
The Tesla V100 32GB variant fits workloads that require its 32 GB HBM2 capacity or NVLink interconnect for multi GPU scaling even though its dense FP16 rating reaches only 125 TFLOPS. The lower 300 W TDP shared by V100 variants reduces power requirements in dense deployments where the 32 GB memory holds larger datasets than the 24 GB alternative.
Use Cases
The RTX 4090 provides 165.2 TFLOPS dense FP16 against 125 TFLOPS on the Tesla V100 32GB so training steps complete faster on the newer card.
The RTX 4090 reaches 165.2 TFLOPS dense FP16 and 1008 GB/s bandwidth which together support higher throughput than the Tesla V100 32GB at 125 TFLOPS dense FP16 and 900 GB/s.
The RTX 4090 FP32 rating of 82.6 TFLOPS exceeds the 15.7 TFLOPS on the Tesla V100 32GB and this advantage speeds gradient updates during fine tuning.
The RTX 4090 delivers 165.2 TFLOPS dense FP16 which accelerates diffusion steps compared with the 125 TFLOPS dense FP16 of the Tesla V100 32GB.
The Tesla V100 32GB supplies 32 GB HBM2 memory and NVLink interconnect that benefit large scale simulations requiring more memory or multi GPU links than the RTX 4090 variant offers.
Frequently Asked Questions
What is the memory difference between these two GPUs?▾
The RTX 4090 variant holds 24 GB GDDR6X while the Tesla V100 32GB variant holds 32 GB HBM2 so the older card provides more capacity despite lower bandwidth of 900 GB/s against 1008 GB/s.
How do FP16 numbers compare on the RTX 4090 versus the Tesla V100 32GB?▾
The RTX 4090 reaches 165.2 TFLOPS in dense FP16 while the Tesla V100 32GB reaches 125 TFLOPS in dense FP16 so the comparison stays within the dense mode for both cards.
Which GPU uses more power?▾
The RTX 4090 carries a 450 W TDP shared across its family while the Tesla V100 32GB carries a 300 W TDP shared across its family so the newer card draws more power at peak load.
Can these GPUs connect through NVLink?▾
The Tesla V100 32GB variant supports NVLink interconnect while the RTX 4090 variant uses only PCIe 4.0 so multi GPU scaling differs between the two specific models.
What architecture powers each card?▾
The RTX 4090 follows the Ada Lovelace architecture released in 2022 and the Tesla V100 32GB follows the Volta architecture released in 2017 so generational gaps appear in FP32 performance of 82.6 TFLOPS versus 15.7 TFLOPS.
Which is cheaper to rent, the RTX 4090 or the Tesla V100 32GB?▾
Cloud rental prices for both the RTX 4090 and Tesla V100 32GB 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 32GB?▾
The RTX 4090 has 24 GB of GDDR6X memory. The Tesla V100 32GB has 32 GB of HBM2 memory.
Can I find RTX 4090 and Tesla V100 32GB 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 32GB?▾
The RTX 4090 uses the Ada Lovelace architecture (2022) while the Tesla V100 32GB 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 32GB.
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 32GB. 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.