Specifications Compared
| Spec | H200 | Quadro RTX 4000 |
|---|---|---|
| TDP | 700W | 125W |
| VRAM | 141 GB | 8 GB |
| CUDA Cores | 16,896 | 2,304 |
| FP8 (dense) | 1,979 TFLOPS | Not published |
| Memory Type | HBM3e | GDDR6 |
| Architecture | Hopper | Turing |
| FP16 (dense) | 989 TFLOPS | 57 TFLOPS |
| Form Factors | SXM, NVL | PCIe |
| INT8 (dense) | 1,979 TOPS | Not published |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | PCIe 3.0 |
| Tensor Cores | 528 | 288 |
| FP32 Performance | 67 TFLOPS | 7.1 TFLOPS |
| FP64 Performance | 34 TFLOPS | Not published |
| Memory Bandwidth | 4,800 GB/s | 416 GB/s |
| FP8 (with sparsity) | 3,958 TFLOPS | Not published |
| FP16 (with sparsity) | 1,979 TFLOPS | Not published |
| INT8 (with sparsity) | 3,958 TOPS | Not published |
Performance Analysis
The FP16 dense performance of 989 TFLOPS on the H200 exceeds the 57 TFLOPS dense FP16 on the Quadro RTX 4000 by a wide margin. This gap means training and inference tasks that rely on dense FP16 operations complete with greater throughput on the H200. The FP32 figure of 67 TFLOPS on the H200 versus 7.1 TFLOPS on the Quadro RTX 4000 further widens the advantage for precision sensitive workloads. Memory bandwidth at 4800 GB/s on the H200 compared to 416 GB/s on the Quadro RTX 4000 supports larger batch sizes during model execution. The H200 also provides FP16 with sparsity at 1979 TFLOPS while the Quadro RTX 4000 lists no sparsity figure. These numbers indicate the H200 sustains higher utilization in memory bound scenarios.
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.
H200
| Provider | Region | GPUs | Per GPU / hr | Instance / hr | Deploy |
|---|---|---|---|---|---|
| Vast.ai | Czechia, CZ | 1 | $4.88 | — | Deploy |
| RunPod | global | 1 | $5.29 | — | Deploy |
| VERDA | FIN-HEL | 8 | $5.66 | $45.26 | Deploy |
| Lyceum | Europe | 8 | $6.19 | $49.52 | Deploy |
| LeaderGPU | The Netherlands | 1 | $6.22 | — | Deploy |
5 providers in stock, 5 offers. All H200 offers, price history and alerts
Quadro RTX 4000
| Provider | Region | GPUs | Per GPU / hr | Instance / hr | Deploy |
|---|---|---|---|---|---|
| Paperspace | ams1 | 1 | $0.56 | — | Deploy |
1 provider in stock, 5 offers (cheapest per provider shown). All Quadro RTX 4000 offers, price history and alerts
Notify me when H200 drops below a price
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When to Choose the H200
The H200 suits LLM training and scientific computing because its 141 GB VRAM and 4800 GB/s bandwidth accommodate models that exceed 8 GB capacity. Its 989 TFLOPS dense FP16 and 1979 TFLOPS FP16 with sparsity deliver the scale required for large tensor operations at 700 W TDP.
When to Choose the Quadro RTX 4000
The Quadro RTX 4000 fits stable diffusion and lighter fine tuning because its 8 GB GDDR6 and 7.1 TFLOPS FP32 handle modest workloads at 125 W TDP within PCIe 3.0 systems. Its 57 TFLOPS dense FP16 supports basic inference without excess power draw.
Use Cases
The H200 supplies 141 GB VRAM and 989 TFLOPS dense FP16 to manage large models that exceed the 8 GB limit of the Quadro RTX 4000.
The H200 delivers 1979 TFLOPS FP16 with sparsity and 4800 GB/s bandwidth for sustained high throughput compared to 57 TFLOPS dense FP16 on the Quadro RTX 4000.
The H200 67 TFLOPS FP32 and 141 GB capacity enable fine tuning of sizable models while the Quadro RTX 4000 remains limited to 7.1 TFLOPS FP32 and 8 GB.
The Quadro RTX 4000 57 TFLOPS dense FP16 and 125 W TDP suffice for image generation workloads that fit within 8 GB GDDR6.
The H200 67 TFLOPS FP32 combined with 4800 GB/s bandwidth accelerates simulations beyond the 7.1 TFLOPS FP32 and 416 GB/s of the Quadro RTX 4000.
Frequently Asked Questions
How does FP16 performance compare on these GPUs?▾
The H200 reaches 989 TFLOPS dense FP16 and 1979 TFLOPS FP16 with sparsity. The Quadro RTX 4000 reaches 57 TFLOPS dense FP16 with no sparsity figure published.
What interconnect options exist on each GPU?▾
The H200 supports NVLink, PCIe 5.0, and InfiniBand. The Quadro RTX 4000 supports only PCIe 3.0.
Which GPU has higher memory bandwidth?▾
The H200 provides 4800 GB/s bandwidth while the Quadro RTX 4000 provides 416 GB/s. Higher bandwidth supports larger batch sizes in compute workloads.
What are the TDP values for the H200 and Quadro RTX 4000?▾
The H200 lists 700 W TDP and the Quadro RTX 4000 lists 125 W TDP. Power requirements differ substantially between the two cards.
Can the Quadro RTX 4000 run FP8 workloads?▾
No FP8 figure is published by the vendor for the Quadro RTX 4000. The H200 lists 1979 TFLOPS dense FP8 and 3958 TFLOPS FP8 with sparsity.
Which is cheaper to rent, the H200 or the Quadro RTX 4000?▾
Cloud rental prices for both the H200 and Quadro RTX 4000 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 H200 have compared to the Quadro RTX 4000?▾
The H200 has 141 GB of HBM3e memory. The Quadro RTX 4000 has 8 GB of GDDR6 memory.
Can I find H200 and Quadro RTX 4000 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 H200 and the Quadro RTX 4000?▾
The H200 uses the Hopper architecture (2024) while the Quadro RTX 4000 uses Turing (2018). The H200 delivers 17.4x the dense FP16 throughput (989 vs 57 TFLOPS, both without sparsity) and 11.5x the memory bandwidth of the Quadro RTX 4000.
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 H200 and the Quadro RTX 4000. 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 H200Every current offer by provider, daily price history and a price alert.
- Rent QUADRO RTX 4000Every 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.