Specifications Compared
| Spec | H200 | RTX-6000-ADA |
|---|---|---|
| TDP | 700W | 300W |
| VRAM | 141 GB | 48 GB |
| CUDA Cores | 16,896 | 18,176 |
| Memory Type | HBM3e | GDDR6 |
| Architecture | Hopper | Ada Lovelace |
| Form Factors | SXM, NVL | PCIe |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | NVLink |
| Tensor Cores | 528 | 568 |
| FP8 Performance | 3,958 TFLOPS | |
| FP16 Performance | 1,979 TFLOPS | 91.1 TFLOPS |
| FP32 Performance | 67 TFLOPS | 91.1 TFLOPS |
| FP64 Performance | 34 TFLOPS | 1.4 TFLOPS |
| INT8 Performance | 3,958 TOPS | 1,457 TOPS |
| Memory Bandwidth | 4,800 GB/s | 960 GB/s |
Performance Analysis
The H200's 141 GB HBM3e VRAM versus the RTX 6000 Ada's 48 GB GDDR6 enables handling of much larger models and batch sizes, critical for LLM training where datasets exceed 48 GB. Memory bandwidth tells a similar story: 4800 GB/s on the H200 supports 5 times faster data movement than the 960 GB/s on the RTX 6000 Ada, reducing bottlenecks in inference pipelines.
FP16 performance reveals stark differences for AI tasks: the H200 achieves 1979 TFLOPS compared to 91.1 TFLOPS on the RTX 6000 Ada, accelerating mixed-precision training by over 20 times. The FP32 delta is pronounced, with H200 at 67 TFLOPS against 91.1 TFLOPS on RTX, favoring the latter for simulation or rendering needing single-precision accuracy. FP8 at 3958 TFLOPS on H200 optimizes inference latency for quantized models, unavailable on the RTX 6000 Ada.
Power draw impacts deployment: H200's 700W TDP suits dense NVLink clusters, while RTX 6000 Ada's 300W fits PCIe workstations with lower cooling needs.
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 6000 Ada Generation
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 16 vCPU 188GB RAM | 🌍global | $0.50/GPU/hr | |||
RunPod | NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 10 vCPU 167GB RAM | 🌍global | $0.77/GPU/hr | |||
 Massed Compute | NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 12 vCPU 72GB RAM 350GB Storage | Iowa | $0.79/GPU/hr | Available | ||
Massed Compute | 8×NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 104 vCPU 640GB RAM 2800GB Storage | Iowa | $0.79/GPU/hr $6.32/hr total (8×) | Available | ||
Massed Compute | 4×NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 52 vCPU 288GB RAM 1400GB Storage | Iowa | $0.79/GPU/hr $3.16/hr total (4×) | Available |
When to Choose the H200 NVL
Opt for the H200 in large-scale LLM training or inference requiring over 48 GB VRAM, as its 141 GB HBM3e handles models like GPT-4 variants without splitting. The 4800 GB/s bandwidth and 1979 TFLOPS FP16 ensure rapid iterations on massive datasets, ideal for research labs scaling to H200 NVL configurations at $0.50 per hour starting price.
When to Choose the RTX 6000 Ada Generation
Choose the RTX 6000 Ada for cost-sensitive visualization, Stable Diffusion, or fine-tuning smaller models under 48 GB, where its 91.1 TFLOPS FP32 matches FP16 for balanced compute at $0.20 per hour entry. Lower 300W TDP and abundant 46 cloud offers make it preferable for individual developers or edge deployments avoiding H200's 700W demands.
Use Cases
H200's 141 GB VRAM and 1979 TFLOPS FP16 handle massive datasets and parameters infeasible on RTX 6000 Ada's 48 GB. Bandwidth of 4800 GB/s accelerates gradient computations.
FP8 at 3958 TFLOPS and 141 GB VRAM on H200 enable low-latency serving of large quantized models. RTX 6000 Ada's 48 GB limits batch sizes for production-scale inference.
Smaller models fit RTX 6000 Ada's 48 GB at lower $1.24 per hour cost, but H200 excels for parameter-heavy fine-tuning with 141 GB VRAM. Choice depends on model size.
RTX 6000 Ada's 91.1 TFLOPS FP32 suits image generation workflows under 48 GB VRAM needs. Lower 300W TDP and $0.20 per hour pricing favor iterative creative tasks.
H200's 67 TFLOPS FP32 and NVLink interconnect scale simulations across nodes. RTX 6000 Ada's PCIe form factor limits multi-GPU HPC setups.
Frequently Asked Questions
What is the VRAM difference between H200 and RTX 6000 Ada?▾
H200 offers 141 GB HBM3e VRAM, nearly three times the RTX 6000 Ada's 48 GB GDDR6. This enables H200 to process larger AI models without offloading. RTX suits smaller workloads fitting within 48 GB.
How do cloud prices compare for these GPUs?▾
H200 NVL starts at $0.50 per hour averaging $2.60 across five offers. RTX 6000 Ada begins at $0.20 per hour averaging $1.24 across 46 offers. RTX provides more availability at lower entry cost.
Which has higher FP16 performance?▾
H200 delivers 1979 TFLOPS FP16, over 21 times the RTX 6000 Ada's 91.1 TFLOPS. This gap accelerates deep learning training on H200. RTX balances better for FP32 at 91.1 TFLOPS.
What are the power requirements?▾
H200 consumes 700W TDP in SXM or NVL form factors. RTX 6000 Ada uses 300W in PCIe slots. Lower TDP makes RTX easier for standard servers.
Can these GPUs interconnect for multi-GPU setups?▾
Both support NVLink, but H200 adds PCIe 5.0 and InfiniBand for clusters. RTX 6000 Ada relies on PCIe primarily. H200 excels in scaled NVLink domains.
Is H200 better for AI inference?▾
Yes, with 3958 TFLOPS FP8 and 4800 GB/s bandwidth versus RTX 6000 Ada's 91.1 TFLOPS FP16 and 960 GB/s. H200 supports higher throughput for large models. RTX fits lightweight inference.
Which is cheaper to rent, the H200 or the RTX 6000 Ada?▾
Cloud rental prices for both the H200 and RTX 6000 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 6000 Ada?▾
The H200 has 141 GB of HBM3e memory. The RTX 6000 Ada has 48 GB of GDDR6 memory.
Can I find H200 and RTX 6000 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 6000 Ada?▾
The H200 uses the Hopper architecture (2024) while the RTX 6000 Ada uses Ada Lovelace (2022). The H200 delivers 21.7x the FP16 throughput and 5.0x the memory bandwidth of the RTX 6000 Ada.