Specifications Compared
| Spec | H200 | RTX-5090 |
|---|---|---|
| TDP | 700W | 575W |
| VRAM | 141 GB | 32 GB |
| CUDA Cores | 16,896 | 21,760 |
| Memory Type | HBM3e | GDDR7 |
| Architecture | Hopper | Blackwell |
| Form Factors | SXM, NVL | PCIe |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | PCIe 5.0 |
| Tensor Cores | 528 | 680 |
| FP8 Performance | 3,958 TFLOPS | 838 TFLOPS |
| FP16 Performance | 1,979 TFLOPS | 419 TFLOPS |
| FP32 Performance | 67 TFLOPS | 105 TFLOPS |
| FP64 Performance | 34 TFLOPS | 1.6 TFLOPS |
| INT8 Performance | 3,958 TOPS | 838 TOPS |
| Memory Bandwidth | 4,800 GB/s | 1,792 GB/s |
Performance Analysis
H200's 141 GB VRAM capacity enables handling of models exceeding 32 GB on RTX 5090, critical for training large language models without model parallelism. Its 4800 GB/s bandwidth sustains larger batch sizes during training, reducing time per epoch compared to 1792 GB/s on RTX 5090, which bottlenecks at high resolutions.
FP16 performance of 1979 TFLOPS on H200 accelerates mixed-precision training threefold over RTX 5090's 419 TFLOPS, while FP8 at 3958 TFLOPS optimizes quantized inference throughput. However, RTX 5090's 105 TFLOPS FP32 surpasses H200's 67 TFLOPS, benefiting rendering and simulations. Overall, H200 dominates AI-specific workloads; RTX 5090 suits graphics-heavy tasks.
NVLink and InfiniBand on H200 enable multi-GPU scaling absent in RTX 5090's PCIe 5.0, amplifying effective performance in clusters.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
H200 NVL
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vultr | NVIDIA GH200 Grace Hopper 96GB VRAM | 96GB | 72 vCPU 480GB RAM 960GB Storage | Atlanta | $1.99/GPU/hr | Available | ||
 Lambda Labs | NVIDIA GH200 Grace Hopper 96GB VRAM | 96GB | 64 vCPU 432GB RAM 4096GB Storage | Virginia | $2.29/GPU/hr | Available | ||
 Nebius | NVIDIA H200 SXM 141GB VRAM | 141GB | 16 vCPU 200GB RAM | 🌍Europe | $2.45/GPU/hr | |||
 CoreWeave | 8×NVIDIA H200 SXM 141GB VRAM | 141GB | 128 vCPU 0GB RAM 61440GB Storage | United States | $2.58/GPU/hr $20.64/hr total (8×) | |||
 Ori | 4×NVIDIA H200 SXM 141GB VRAM | 141GB | 96 vCPU 960GB RAM 12000GB Storage | London | $3.50/GPU/hr $14.00/hr total (4×) | Available |
RTX 5090
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 0 vCPU 0GB RAM | Chubbuck, Idaho | $0.57/GPU/hr | Available | ||
 Vast.ai | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 16 vCPU 30GB RAM 395GB Storage | South Korea | $0.87/GPU/hr | Available | ||
Vast.ai | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 8 vCPU 30GB RAM 502GB Storage | South Korea | $0.87/GPU/hr | Available | ||
Vast.ai | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 16 vCPU 30GB RAM 583GB Storage | South Korea | $0.87/GPU/hr | Available | ||
Vast.ai | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 16 vCPU 30GB RAM 205GB Storage | South Korea | $0.88/GPU/hr | Available |
When to Choose the H200 NVL
Select H200 NVL for large-scale LLM training or inference needing 141 GB VRAM, such as models over 70B parameters. Its 4800 GB/s bandwidth and NVLink interconnect support efficient multi-GPU setups, unavailable on RTX 5090. Enterprise deployments benefit from 1979 TFLOPS FP16 despite 700W TDP.
When to Choose the RTX 5090
Choose RTX 5090 for cost-sensitive tasks like fine-tuning small models or Stable Diffusion, where 32 GB VRAM suffices. Average pricing at $0.63/hr beats H200 NVL's $2.54/hr, with 575W TDP easing power constraints. It excels in single-GPU gaming or visualization via 105 TFLOPS FP32.
Use Cases
H200's 141 GB VRAM supports massive models; RTX 5090's 32 GB requires excessive sharding.
3958 TFLOPS FP8 and 4800 GB/s bandwidth enable high-throughput serving of large models.
Smaller models fit RTX 5090's 32 GB at $0.63/hr average; H200 scales to larger ones with 141 GB.
RTX 5090's 105 TFLOPS FP32 and lower $0.13/hr pricing suit image generation efficiently.
RTX 5090's PCIe form factor and 419 TFLOPS FP16 handle simulations cost-effectively.
Frequently Asked Questions
Which GPU has more VRAM?▾
H200 NVL provides 141 GB HBM3e versus RTX 5090's 32 GB GDDR7. This allows H200 to load entire large models without splitting.
What is the memory bandwidth difference?▾
H200 delivers 4800 GB/s compared to RTX 5090's 1792 GB/s. Higher bandwidth on H200 supports bigger batches in training.
How do FP16 performances compare?▾
H200 achieves 1979 TFLOPS FP16, over 4x RTX 5090's 419 TFLOPS. This boosts AI training speed significantly.
What are the cloud pricing ranges?▾
H200 NVL starts at $0.50/hr averaging $2.54/hr across 4 offers; RTX 5090 at $0.13/hr averaging $0.63/hr across 30 offers.
Which has higher TDP?▾
H200 requires 700W TDP versus RTX 5090's 575W. H200's power supports its datacenter-scale compute.
Can RTX 5090 scale like H200?▾
No, RTX 5090 uses PCIe 5.0 only; H200 adds NVLink for multi-GPU communication.
Which is cheaper to rent, the H200 or the RTX 5090?▾
Cloud rental prices for both the H200 and RTX 5090 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 RTX 5090?▾
The H200 has 141 GB of HBM3e memory. The RTX 5090 has 32 GB of GDDR7 memory.
Can I find H200 and RTX 5090 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 RTX 5090?▾
The H200 uses the Hopper architecture (2024) while the RTX 5090 uses Blackwell (2025). The H200 delivers 4.7x the FP16 throughput and 2.7x the memory bandwidth of the RTX 5090.