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
Memory capacity defines a core disparity: the H200's 141 GB HBM3e VRAM supports models exceeding hundreds of billions of parameters, enabling full precision loading without fragmentation common in the RTX 5090's 32 GB GDDR7. This allows the H200 to handle enterprise-scale LLM training where datasets demand vast addressable memory. The RTX 5090 suits smaller models or quantized inference fitting within 32 GB.
Bandwidth impacts throughput profoundly: 4800 GB/s on the H200 sustains high batch sizes in memory-bound operations like transformer attention layers, reducing latency in training loops. The RTX 5090's 1792 GB/s limits larger batches, potentially bottlenecking inference at scale. FP16 performance at 1979 TFLOPS positions the H200 for rapid AI training iterations, while FP8 at 3958 TFLOPS accelerates quantized inference. The RTX 5090's FP32 lead of 105 TFLOPS over 67 TFLOPS benefits graphics rendering or general compute less optimized for AI sparsity.
Power draw underscores deployment differences: the H200's 700W TDP requires robust cooling in SXM or NVL form factors with NVLink interconnects for multi-GPU scaling, whereas the RTX 5090's 575W fits standard PCIe setups efficiently.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
H200
| 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 | NVIDIA H200 SXM 141GB VRAM | 141GB | 24 vCPU 240GB RAM 3000GB Storage | London | $3.50/GPU/hr | 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 | 384 vCPU 94GB RAM 642GB Storage | Czechia | $0.83/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 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 |
When to Choose the H200
The H200 excels in large-scale AI training and inference for models like 1T+ parameter LLMs, where 141 GB VRAM and 4800 GB/s bandwidth enable massive batch sizes without offloading. Enterprise users leverage NVLink and InfiniBand for distributed clusters, justifying $3.77 per hour average costs through accelerated time-to-results. High FP16 at 1979 TFLOPS and FP8 at 3958 TFLOPS suit production HPC pipelines demanding reliability over consumer variability.
When to Choose the RTX 5090
The RTX 5090 fits budget-conscious developers prototyping fine-tuning or inference on models under 70B parameters, constrained comfortably by 32 GB VRAM at $0.55 per hour average. Gamers and creators prioritize its 105 TFLOPS FP32 for rendering alongside AI tasks like Stable Diffusion, with PCIe simplicity easing single-node setups. Lower 575W TDP reduces operational overhead in non-datacenter environments.
Use Cases
H200's 141 GB VRAM and 1979 TFLOPS FP16 handle massive datasets and parameters infeasible on RTX 5090's 32 GB. Bandwidth of 4800 GB/s supports large batches critical for efficient training.
141 GB HBM3e fits unquantized large models for low-latency serving, with 3958 TFLOPS FP8 outperforming 838 TFLOPS on RTX 5090. NVLink scales multi-GPU inference seamlessly.
RTX 5090 suffices for sub-70B models at $0.55 per hour, while H200 accelerates larger ones via 4800 GB/s bandwidth. Choice hinges on model size and budget.
RTX 5090's 105 TFLOPS FP32 and 32 GB GDDR7 optimize image generation workflows affordably at $0.13 per hour minimum. Consumer form factor integrates easily with creative software.
H200's 141 GB VRAM and NVLink handle simulations with extreme memory needs, delivering 67 TFLOPS FP32 in HPC clusters. Superior interconnects enable distributed precision computing.
Frequently Asked Questions
Which GPU has more VRAM: H200 or RTX 5090?▾
The H200 provides 141 GB HBM3e VRAM, far exceeding the RTX 5090's 32 GB GDDR7. This gap suits datacenter-scale AI versus prosumer tasks. Memory type enhances H200 bandwidth to 4800 GB/s.
How do cloud prices compare for H200 and RTX 5090?▾
H200 starts at $0.49 per hour averaging $3.77 across nine offers, reflecting enterprise demand. RTX 5090 begins at $0.13 per hour averaging $0.55 over 32 listings, ideal for cost-sensitive users. Prices fluctuate with providers.
What is the FP16 performance difference?▾
H200 achieves 1979 TFLOPS FP16, over 4.7 times the RTX 5090's 419 TFLOPS. This boosts AI training speed on H200 significantly. FP8 follows suit at 3958 versus 838 TFLOPS.
Can RTX 5090 handle large LLMs like H200?▾
RTX 5090's 32 GB limits it to quantized or smaller LLMs under 70B parameters, unlike H200's 141 GB for full models. Bandwidth of 1792 GB/s trails 4800 GB/s, capping batch sizes. Use H200 for scale.
Which has higher power consumption?▾
H200 draws 700W TDP versus RTX 5090's 575W, demanding advanced cooling in SXM form factors. RTX 5090 fits standard PCIe with lower overhead. Interconnects like NVLink favor H200 clustering.
Is RTX 5090 newer than H200?▾
RTX 5090 uses 2025 Blackwell architecture, post-H200's 2024 Hopper. Despite recency, H200 leads in AI specs like 141 GB VRAM. Blackwell advances show in RTX 5090's 105 TFLOPS FP32.
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 RTX 5090 delivers 0.2x the FP16 throughput and 0.4x the memory bandwidth of the H200.