Specifications Compared
| Spec | H200 | QUADRO-RTX-5000 |
|---|---|---|
| TDP | 700W | 230W |
| VRAM | 141 GB | 16 GB |
| CUDA Cores | 16,896 | 3,072 |
| Memory Type | HBM3e | GDDR6 |
| Architecture | Hopper | Turing |
| Form Factors | SXM, NVL | PCIe |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | NVLink |
| Tensor Cores | 528 | 384 |
| FP8 Performance | 3,958 TFLOPS | |
| FP16 Performance | 1,979 TFLOPS | 11.2 TFLOPS |
| FP32 Performance | 67 TFLOPS | 11.2 TFLOPS |
| FP64 Performance | 34 TFLOPS | |
| INT8 Performance | 3,958 TOPS | |
| Memory Bandwidth | 4,800 GB/s | 448 GB/s |
Performance Analysis
The H200 vastly outpaces the Quadro RTX 5000 in compute: 1979 TFLOPS FP16 versus 11.2 TFLOPS, and 67 TFLOPS FP32 against 11.2 TFLOPS. This disparity accelerates AI training, where FP16 tensor cores in the H200 enable models with billions of parameters, while the Quadro RTX 5000 suits smaller datasets limited by equal FP16 and FP32 rates.
Memory defines real-world viability: 141 GB HBM3e on the H200 supports enormous batch sizes in inference, preventing out-of-memory errors common with the Quadro RTX 5000's 16 GB GDDR6. Bandwidth at 4800 GB/s versus 448 GB/s further amplifies this, allowing the H200 to process data 10 times faster and handle large language model inference without bottlenecks.
Power draw reveals deployment differences: the H200's 700W TDP demands datacenter cooling, contrasting the Quadro RTX 5000's efficient 230W for edge or workstation use.
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 | 2×NVIDIA H200 SXM 141GB VRAM | 141GB | 48 vCPU 480GB RAM 6000GB Storage | London | $3.50/GPU/hr $7.00/hr total (2×) | Available |
Quadro RTX 5000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Paperspace | NVIDIA Quadro RTX 5000 16GB VRAM | 16GB | 8 vCPU 30GB RAM 50GB Storage | New York | $0.82/GPU/hr | Available | ||
Paperspace | 2×NVIDIA Quadro RTX 5000 16GB VRAM | 16GB | 16 vCPU 60GB RAM 50GB Storage | New York | $0.82/GPU/hr $1.64/hr total (2×) | Available |
When to Choose the H200 NVL
Choose the H200 for large-scale AI and HPC workloads requiring extreme memory capacity. Its 141 GB HBM3e VRAM and 4800 GB/s bandwidth excel in training models that exceed 16 GB limits, such as LLMs with FP8 at 3958 TFLOPS. Cloud deployments benefit from NVLink and PCIe 5.0 interconnects in SXM or NVL form factors, ideal for clusters at $0.50 per hour starting price.
When to Choose the Quadro RTX 5000
Opt for the Quadro RTX 5000 in budget-conscious professional visualization or CAD tasks. Its 230W TDP and PCIe form factor fit single-node workstations without datacenter infrastructure, delivering 11.2 TFLOPS FP32 for rendering at a flat $0.82 per hour. Legacy software optimized for Turing architecture avoids H200's higher average $2.60 per hour cost.
Use Cases
The H200's 141 GB HBM3e VRAM and 3958 TFLOPS FP8 handle massive datasets and parameters infeasible on the Quadro RTX 5000's 16 GB GDDR6.
4800 GB/s bandwidth and 1979 TFLOPS FP16 on the H200 support high-throughput batch inference, far beyond the Quadro RTX 5000's 448 GB/s and 11.2 TFLOPS.
H200's 67 TFLOPS FP32 and vast memory enable efficient fine-tuning of large models, while Quadro RTX 5000 limits scale with 11.2 TFLOPS and 16 GB VRAM.
The H200 accelerates diffusion models via 1979 TFLOPS FP16 for faster generation, outperforming Quadro RTX 5000's 11.2 TFLOPS on memory-intensive tasks.
H200's Hopper architecture and NVLink interconnect suit parallel simulations with 141 GB VRAM, eclipsing Quadro RTX 5000's Turing limits.
Frequently Asked Questions
Which GPU has more VRAM: H200 or Quadro RTX 5000?▾
The H200 provides 141 GB HBM3e VRAM, compared to 16 GB GDDR6 on the Quadro RTX 5000. This enables the H200 to manage much larger models without swapping. Batch sizes increase dramatically on the H200.
How do FP16 performances compare between H200 and Quadro RTX 5000?▾
H200 delivers 1979 TFLOPS FP16, versus 11.2 TFLOPS on Quadro RTX 5000. This gap favors H200 for AI acceleration using half-precision. Training times reduce significantly on H200.
What are the cloud pricing differences for these GPUs?▾
H200 NVL starts at $0.50 per hour with $2.60 average across five offers. Quadro RTX 5000 averages $0.82 per hour across two offers. H200 suits high-value workloads despite higher average cost.
Is the H200 more power-hungry than Quadro RTX 5000?▾
H200 has 700W TDP, double the Quadro RTX 5000's 230W. This requires robust cooling for H200 deployments. Quadro RTX 5000 fits low-power environments.
Which architecture is newer: Hopper or Turing?▾
Hopper powers the 2024 H200, while Turing dates to 2018 Quadro RTX 5000. Hopper includes advanced tensor cores for FP8 at 3958 TFLOPS. Turing offers balanced legacy support.
Can Quadro RTX 5000 handle LLM inference?▾
Quadro RTX 5000's 16 GB VRAM limits it to small models at 11.2 TFLOPS FP16. H200's 141 GB and 1979 TFLOPS FP16 excel for production inference. Choose based on model size.
Which is cheaper to rent, the H200 or the Quadro RTX 5000?▾
Cloud rental prices for both the H200 and Quadro RTX 5000 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 Quadro RTX 5000?▾
The H200 has 141 GB of HBM3e memory. The Quadro RTX 5000 has 16 GB of GDDR6 memory.
Can I find H200 and Quadro RTX 5000 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 Quadro RTX 5000?▾
The H200 uses the Hopper architecture (2024) while the Quadro RTX 5000 uses Turing (2018). The H200 delivers 176.7x the FP16 throughput and 10.7x the memory bandwidth of the Quadro RTX 5000.