Specifications Compared
| Spec | H200 | RTX-5070 |
|---|---|---|
| TDP | 700W | 250W |
| VRAM | 141 GB | 12 GB |
| CUDA Cores | 16,896 | 6,144 |
| Memory Type | HBM3e | GDDR7 |
| Architecture | Hopper | Blackwell |
| Form Factors | SXM, NVL | PCIe |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | |
| Tensor Cores | 528 | 192 |
| FP8 Performance | 3,958 TFLOPS | |
| FP16 Performance | 1,979 TFLOPS | 40.6 TFLOPS |
| FP32 Performance | 67 TFLOPS | 40.6 TFLOPS |
| FP64 Performance | 34 TFLOPS | |
| INT8 Performance | 3,958 TOPS | 650 TOPS |
| Memory Bandwidth | 4,800 GB/s | 448 GB/s |
Performance Analysis
The H200's FP16 performance reaches 1979 TFLOPS, dwarfing the RTX 5070's 40.6 TFLOPS, which translates to vastly faster AI model training where half-precision computations dominate. For FP32 tasks like certain scientific simulations, the H200's 67 TFLOPS edges out the RTX 5070's 40.6 TFLOPS, but the gap widens in mixed-precision workflows favoring the datacenter GPU. Inference benefits similarly: the H200's FP8 at 3958 TFLOPS accelerates quantized large language models, unavailable on the consumer card.
Memory specs dictate real-world viability. The H200's 141 GB HBM3e VRAM supports enormous batch sizes in training, fitting models exceeding 100 billion parameters without swapping, while the RTX 5070's 12 GB GDDR7 limits it to smaller models or low-batch inference. Bandwidth at 4800 GB/s on the H200 minimizes data bottlenecks during gradient updates, compared to 448 GB/s on the RTX 5070, which struggles with large datasets and reduces effective throughput by forcing smaller batches.
Power draw reflects deployment: the H200's 700W TDP suits rack-scale clusters with NVLink and InfiniBand, enabling multi-GPU scaling, whereas the RTX 5070's 250W fits edge or desktop use without advanced interconnects.
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 |
When to Choose the H200
The H200 excels in enterprise AI pipelines requiring extreme scale. Large language model training demands its 141 GB VRAM to load full datasets, paired with 1979 TFLOPS FP16 for rapid iterations that the RTX 5070 cannot match due to 12 GB limits. High-frequency inference on massive models leverages 4800 GB/s bandwidth to sustain high throughput across NVLink clusters.
Scientific computing benefits from 67 TFLOPS FP32 and 700W TDP in sustained HPC runs, where PCIe-only RTX 5070 falls short on interconnect speed.
When to Choose the RTX 5070
The RTX 5070 suits budget-conscious developers and gamers in cloud spots. Prototyping small models or fine-tuning under 10 billion parameters fits its 12 GB VRAM perfectly, at $0.08 per hour entry pricing. Gaming workloads and Stable Diffusion generation thrive on 40.6 TFLOPS FP16 with 250W efficiency, avoiding the H200's $0.50 minimum cost.
Edge inference or testing benefits from PCIe simplicity, where high-end datacenter features like 141 GB VRAM remain unused.
Use Cases
The H200's 141 GB HBM3e VRAM and 1979 TFLOPS FP16 handle massive datasets and parameters, while the RTX 5070's 12 GB GDDR7 causes out-of-memory errors.
High throughput on large models requires 4800 GB/s bandwidth and 3958 TFLOPS FP8; the RTX 5070's 448 GB/s limits batch sizes severely.
Even mid-scale fine-tuning benefits from 141 GB VRAM for full model loading; RTX 5070 suffices only for tiny models under 12 GB.
Image generation on 12 GB GDDR7 with 40.6 TFLOPS FP16 runs efficiently at low cost; H200's 700W TDP overkills consumer creative tasks.
67 TFLOPS FP32 and NVLink scaling accelerate simulations; RTX 5070's 40.6 TFLOPS lacks interconnect for distributed jobs.
Frequently Asked Questions
Which GPU has more VRAM: H200 or RTX 5070?▾
The H200 offers 141 GB HBM3e VRAM, compared to the RTX 5070's 12 GB GDDR7. This enables the H200 to manage models over 100 billion parameters without issues.
How do H200 and RTX 5070 compare in FP16 performance?▾
The H200 delivers 1979 TFLOPS FP16, far exceeding the RTX 5070's 40.6 TFLOPS. Training speedups exceed 48 times in AI workloads.
What is the price difference for cloud rental?▾
H200 rentals start at $0.50 per hour, averaging $3.62 across 26 offers. RTX 5070 begins at $0.08 per hour, averaging $0.17 over 4 offers.
Which has higher memory bandwidth?▾
The H200 provides 4800 GB/s with HBM3e, versus the RTX 5070's 448 GB/s GDDR7. Larger batches process 10 times faster on H200.
Is RTX 5070 better for gaming in the cloud?▾
Yes, the RTX 5070's 250W TDP and PCIe form factor suit gaming at $0.08 per hour. H200's 700W and SXM focus on compute, not graphics.
Can RTX 5070 replace H200 for AI training?▾
No, 12 GB VRAM limits it to small models, unlike H200's 141 GB for large-scale training. FP16 gap of 1979 versus 40.6 TFLOPS confirms this.
Which is cheaper to rent, the H200 or the RTX 5070?▾
Cloud rental prices for both the H200 and RTX 5070 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 5070?▾
The H200 has 141 GB of HBM3e memory. The RTX 5070 has 12 GB of GDDR7 memory.
Can I find H200 and RTX 5070 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 5070?▾
The H200 uses the Hopper architecture (2024) while the RTX 5070 uses Blackwell (2025). The H200 delivers 48.7x the FP16 throughput and 10.7x the memory bandwidth of the RTX 5070.