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 enables processing of massive models that exceed the RTX 6000 Ada's 48 GB GDDR6 capacity, allowing larger batch sizes in training without out-of-memory errors. Its 4800 GB/s bandwidth supports rapid data movement critical for transformer-based LLMs, where the RTX 6000 Ada's 960 GB/s limits throughput by a factor of five.
FP16 performance reveals stark contrasts: H200 at 1979 TFLOPS accelerates mixed-precision training far beyond the RTX 6000 Ada's 91.1 TFLOPS, reducing epochs for large datasets. However, FP32 parity at 67 TFLOPS for H200 versus 91.1 TFLOPS for RTX 6000 Ada favors the latter in simulation tasks requiring single-precision accuracy. FP8 on H200 at 3958 TFLOPS optimizes inference latency for quantized models.
Power draw underscores efficiency trade-offs: H200's 700W TDP suits dense server racks with NVLink and InfiniBand, while RTX 6000 Ada's 300W fits PCIe workstations. Bandwidth dominance on H200 sustains high utilization in memory-bound workloads, elevating effective throughput.
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 | 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
| 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
Select the H200 for LLM training or inference on models exceeding 70B parameters, where 141 GB VRAM handles full context without sharding across multiple GPUs. Its 4800 GB/s bandwidth and 1979 TFLOPS FP16 performance cut training times dramatically in cloud environments averaging $3.62/hr.
When to Choose the RTX 6000 Ada
Opt for the RTX 6000 Ada in workstation setups for Stable Diffusion or fine-tuning sub-30B models, leveraging 48 GB VRAM and 91.1 TFLOPS FP32 at lower $1.33/hr average cost. Its 300W TDP and PCIe form factor enable single-GPU deployments without datacenter infrastructure.
Use Cases
H200's 141 GB VRAM and 1979 TFLOPS FP16 support training models over 100B parameters with large batches. RTX 6000 Ada's 48 GB capacity requires excessive sharding.
3958 TFLOPS FP8 and 4800 GB/s bandwidth on H200 deliver low-latency serving for high-concurrency requests. RTX 6000 Ada suffices only for smaller deployments.
H200 excels for parameter-efficient methods on large models via 141 GB VRAM. RTX 6000 Ada's 91.1 TFLOPS FP32 handles LoRA on mid-sized models cost-effectively.
RTX 6000 Ada's 91.1 TFLOPS FP32 and 48 GB VRAM optimize image generation pipelines. H200's 700W TDP overpowers single-user creative workflows.
RTX 6000 Ada's balanced 91.1 TFLOPS FP32/FP16 fits simulations and visualizations in PCIe workstations. H200 targets distributed HPC beyond typical needs.
Frequently Asked Questions
What is the VRAM difference between H200 and RTX 6000 Ada?▾
H200 provides 141 GB HBM3e VRAM, nearly three times the RTX 6000 Ada's 48 GB GDDR6. This gap enables H200 to load larger AI models without multi-GPU splitting.
How do cloud prices compare for these GPUs?▾
H200 rentals start from $0.50/hr with an average of $3.62/hr across 26 offers. RTX 6000 Ada begins at $0.20/hr averaging $1.33/hr over 31 offers, suiting budget-conscious users.
Which has higher FP16 performance?▾
H200 achieves 1979 TFLOPS FP16, over 21 times the RTX 6000 Ada's 91.1 TFLOPS. This boosts H200 in AI training dominated by half-precision compute.
What are the power requirements?▾
H200 demands 700W TDP in SXM or NVL form factors with NVLink. RTX 6000 Ada uses 300W in PCIe slots, ideal for standard workstations.
Is memory bandwidth better on H200?▾
H200's 4800 GB/s exceeds RTX 6000 Ada's 960 GB/s by a factor of five. Higher bandwidth on H200 accelerates data-heavy workloads like large-batch training.
Which GPU supports NVLink?▾
Both include NVLink for multi-GPU scaling, but H200 adds PCIe 5.0 and InfiniBand. RTX 6000 Ada limits to PCIe form factors for workstation interconnects.
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.