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 dominates in FP16 performance at 1979 TFLOPS versus 91.1 TFLOPS on the RTX 6000 Ada, enabling faster deep learning training and inference where half-precision computations prevail. Although H200's FP32 reaches 67 TFLOPS below the RTX's 91.1 TFLOPS, most modern AI pipelines favor FP16 and FP8 metrics, with H200 at 3958 TFLOPS in the latter for quantized inference.
Memory specifications define real-world limits: H200's 141 GB HBM3e supports models exceeding 48 GB GDDR6 on RTX 6000 Ada, allowing larger batch sizes in training. Bandwidth of 4800 GB/s on H200 versus 960 GB/s minimizes data transfer delays, crucial for LLM workloads handling massive datasets. TDP differences, 700W for H200 against 300W, reflect H200's datacenter orientation requiring robust cooling.
Interconnects enhance H200's multi-GPU scaling via NVLink, PCIe 5.0, and InfiniBand, outperforming RTX's NVLink-only setup in clustered environments.
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 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 SXM
Enterprise teams select the H200 for large-scale LLM training and inference: 141 GB VRAM accommodates models like 175B+ parameters, while 4800 GB/s bandwidth sustains high throughput. Its 1979 TFLOPS FP16 and SXM/NVL form factors excel in NVLink clusters for distributed computing.
Datacenter deployments prioritize H200 when power budgets allow 700W TDP, as cloud pricing from $1.19 per hour delivers unmatched scale across 22 offers.
When to Choose the RTX 6000 Ada Generation
Developers opt for RTX 6000 Ada in cost-sensitive scenarios: starting at $0.15 per hour averaging $1.21 per hour over 50 offers, it handles fine-tuning and inference for models under 48 GB VRAM. The 300W TDP suits workstations without extensive cooling.
Professional visualization and mid-scale AI tasks favor RTX 6000 Ada, leveraging balanced 91.1 TFLOPS FP16/FP32 performance in PCIe setups.
Use Cases
H200's 141 GB HBM3e VRAM and 1979 TFLOPS FP16 support enormous models and datasets. RTX 6000 Ada's 48 GB limits scale.
H200's 3958 TFLOPS FP8 and 4800 GB/s bandwidth accelerate high-throughput serving of large LLMs. 141 GB capacity fits production models beyond RTX limits.
RTX 6000 Ada's 48 GB suffices for mid-sized models at lower $0.15 per hour cost. H200 excels if datasets demand over 48 GB.
RTX 6000 Ada's 91.1 TFLOPS FP16/FP32 and 48 GB VRAM handle image generation efficiently. Lower 300W TDP fits workstations.
RTX 6000 Ada's 91.1 TFLOPS FP32 outperforms H200's 67 TFLOPS for simulations. Cost from $0.15 per hour suits diverse compute.
Frequently Asked Questions
Which GPU has more VRAM?▾
H200 provides 141 GB HBM3e versus 48 GB GDDR6 on RTX 6000 Ada Generation. This enables larger models on H200. Bandwidth supports this at 4800 GB/s over 960 GB/s.
How do FP16 performances compare?▾
H200 achieves 1979 TFLOPS FP16 compared to 91.1 TFLOPS on RTX 6000 Ada. This gap accelerates AI training on H200. FP8 on H200 reaches 3958 TFLOPS for inference.
What are the cloud pricing differences?▾
H200 SXM starts at $1.19 per hour averaging $3.71 per hour across 22 offers. RTX 6000 Ada Generation begins at $0.15 per hour averaging $1.21 per hour over 50 offers.
Which has higher power consumption?▾
H200 requires 700W TDP versus 300W on RTX 6000 Ada. This suits datacenters for H200. Workstations prefer RTX's efficiency.
What architectures do they use?▾
H200 employs Hopper from 2024, RTX 6000 Ada uses Ada Lovelace from 2022. Hopper optimizes for AI scale. Ada balances professional compute.
Which supports better multi-GPU scaling?▾
H200 offers NVLink, PCIe 5.0, and InfiniBand versus RTX 6000 Ada's NVLink. This enhances H200 clusters. Form factors include SXM/NVL for H200.
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.