Specifications Compared
| Spec | H200 | RTX-5000-ADA |
|---|---|---|
| TDP | 700W | 250W |
| VRAM | 141 GB | 32 GB |
| CUDA Cores | 16,896 | 12,800 |
| Memory Type | HBM3e | GDDR6 |
| Architecture | Hopper | Ada Lovelace |
| Form Factors | SXM, NVL | PCIe |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | |
| Tensor Cores | 528 | 400 |
| FP8 Performance | 3,958 TFLOPS | |
| FP16 Performance | 1,979 TFLOPS | 65.3 TFLOPS |
| FP32 Performance | 67 TFLOPS | 65.3 TFLOPS |
| FP64 Performance | 34 TFLOPS | |
| INT8 Performance | 3,958 TOPS | 1,044 TOPS |
| Memory Bandwidth | 4,800 GB/s | 576 GB/s |
Performance Analysis
The H200 dominates in FP16 performance at 1979 TFLOPS compared to the RTX 5000 Ada's 65.3 TFLOPS, accelerating deep learning training where half-precision computations prevail. Its FP32 throughput reaches 67 TFLOPS, slightly ahead of the RTX 5000 Ada's matched 65.3 TFLOPS, but the gap widens in FP8 at 3958 TFLOPS for efficient inference. This disparity means H200 handles larger models and batches during training, reducing epochs significantly. Memory specs amplify this: 141 GB HBM3e versus 32 GB GDDR6 allows H200 to load massive datasets without swapping, while 4800 GB/s bandwidth versus 576 GB/s supports enormous batch sizes in transformer models, minimizing latency in inference pipelines. RTX 5000 Ada suits smaller workloads where balanced FP16 and FP32 suffice without excessive power draw.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
H200 SXM
| 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 5000 Ada Generation
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA RTX 5000 Ada Generation 32GB VRAM | 32GB | 0 vCPU 0GB RAM | Chubbuck, Idaho | $0.55/GPU/hr | Available | ||
 RunPod | NVIDIA RTX 5000 Ada Generation 32GB VRAM | 32GB | 10 vCPU 83GB RAM | 🌍global | $0.83/GPU/hr |
When to Choose the H200 SXM
Select the H200 for large-scale LLM training or inference requiring over 100 GB VRAM, as its 141 GB HBM3e fits models like GPT-4 scale without partitioning. Multi-node setups benefit from NVLink and InfiniBand at 700W TDP, enabling clusters for scientific simulations or fine-tuning with 1979 TFLOPS FP16. Cloud deployments at $3.05 per hour justify the cost for production AI where bandwidth of 4800 GB/s prevents bottlenecks.
When to Choose the RTX 5000 Ada Generation
Opt for RTX 5000 Ada in budget-conscious scenarios like Stable Diffusion rendering or CAD visualization, where 32 GB GDDR6 and 65.3 TFLOPS FP32 handle professional graphics at $0.25 per hour. Its 250W TDP fits edge workstations or small clusters via PCIe, ideal for developers testing models under 30 GB without multi-GPU needs. Cost savings average $0.51 per hour make it viable for iterative fine-tuning on modest datasets.
Use Cases
H200's 141 GB HBM3e VRAM and 1979 TFLOPS FP16 enable training of massive models with large batch sizes. RTX 5000 Ada's 32 GB limits it to smaller scales.
H200's 3958 TFLOPS FP8 and 4800 GB/s bandwidth support high-throughput serving of large LLMs. RTX 5000 Ada struggles with memory for production inference.
H200 accommodates full model loading with 141 GB VRAM during parameter-efficient fine-tuning. RTX 5000 Ada's 32 GB suffices only for smaller adapters.
RTX 5000 Ada's Ada Lovelace excels in graphics generation at 65.3 TFLOPS FP32 with lower 250W TDP. H200 overkill for image diffusion tasks.
H200 suits HPC simulations needing 4800 GB/s bandwidth; RTX 5000 Ada handles FP32-bound tasks cost-effectively at $0.51 per hour average.
Frequently Asked Questions
Which GPU has more VRAM: H200 or RTX 5000 Ada?▾
The H200 provides 141 GB HBM3e VRAM, far exceeding the RTX 5000 Ada's 32 GB GDDR6. This enables H200 to manage larger AI models without offloading. RTX 5000 Ada fits mid-sized workloads adequately.
How do their memory bandwidths compare?▾
H200 offers 4800 GB/s, over eight times the RTX 5000 Ada's 576 GB/s. Higher bandwidth on H200 boosts batch sizes in training. RTX 5000 Ada performs well for bandwidth-limited graphics tasks.
What are the cloud rental prices for these GPUs?▾
H200 SXM rents from $3.05 per hour, averaging $3.99 per hour across 19 offers. RTX 5000 Ada Generation starts at $0.25 per hour, averaging $0.51 per hour over 5 offers. Prices reflect performance tiers on gpuperhour.com.
Which has higher FP16 performance?▾
H200 achieves 1979 TFLOPS FP16, vastly outperforming RTX 5000 Ada's 65.3 TFLOPS. This gap favors H200 in ML training. RTX 5000 Ada balances with equal FP32 at 65.3 TFLOPS.
What is the power consumption difference?▾
H200 draws 700W TDP, compared to RTX 5000 Ada's 250W. H200 requires robust cooling for datacenters. RTX 5000 Ada suits power-sensitive workstations.
Can these GPUs be used in multi-GPU setups?▾
H200 supports NVLink, PCIe 5.0, and InfiniBand for scaling. RTX 5000 Ada uses PCIe only, limiting cluster efficiency. H200 excels in distributed training.
Which is cheaper to rent, the H200 or the RTX 5000 Ada?▾
Cloud rental prices for both the H200 and RTX 5000 Ada 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 5000 Ada?▾
The H200 has 141 GB of HBM3e memory. The RTX 5000 Ada has 32 GB of GDDR6 memory.
Can I find H200 and RTX 5000 Ada 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 5000 Ada?▾
The H200 uses the Hopper architecture (2024) while the RTX 5000 Ada uses Ada Lovelace (2023). The H200 delivers 30.3x the FP16 throughput and 8.3x the memory bandwidth of the RTX 5000 Ada.