Specifications Compared
| Spec | H100 | QUADRO-RTX-5000 |
|---|---|---|
| TDP | 700W | 230W |
| VRAM | 80-94 GB | 16 GB |
| CUDA Cores | 16,896 | 3,072 |
| Memory Type | HBM3 | GDDR6 |
| Architecture | Hopper | Turing |
| Form Factors | SXM5, PCIe, 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 | 3,350 GB/s | 448 GB/s |
Performance Analysis
H100's FP16 performance of 1979 TFLOPS vastly outpaces Quadro RTX 5000's 11.2 TFLOPS, accelerating deep learning training where half-precision computations dominate. The FP32 rating of 67 TFLOPS on H100 supports single-precision tasks like simulations, exceeding Quadro RTX 5000's 11.2 TFLOPS by a factor of six. FP8 capability at 3958 TFLOPS on H100 optimizes inference for large language models, a feature absent in Quadro RTX 5000.
Memory bandwidth profoundly impacts workloads: H100's 3350 GB/s enables larger batch sizes in training, reducing iterations and time compared to Quadro RTX 5000's 448 GB/s limitation. This disparity confines Quadro RTX 5000 to smaller models or datasets, while H100 processes massive ones efficiently. Power draw underscores efficiency: H100 at 700W TDP delivers disproportionate output relative to Quadro RTX 5000's 230W.
Interconnects like NVLink and PCIe 5.0 on H100 facilitate multi-GPU scaling for distributed training, surpassing Quadro RTX 5000's PCIe form factor constraints.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
H100 NVL
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Hyperstack | 4×NVIDIA H100 PCIe 80GB VRAM | 80GB | 124 vCPU 720GB RAM 3300GB Storage | Canada | $1.90/GPU/hr $7.60/hr total (4×) | Available | ||
Hyperstack | 2×NVIDIA H100 PCIe 80GB VRAM | 80GB | 60 vCPU 360GB RAM 1600GB Storage | Canada | $1.90/GPU/hr $3.80/hr total (2×) | Available | ||
Hyperstack | 8×NVIDIA H100 PCIe 80GB VRAM | 80GB | 252 vCPU 1440GB RAM 6600GB Storage | Canada | $1.90/GPU/hr $15.20/hr total (8×) | Available | ||
Hyperstack | NVIDIA H100 PCIe 80GB VRAM | 80GB | 28 vCPU 180GB RAM 850GB Storage | Canada | $1.90/GPU/hr | Available | ||
Hyperstack | 8×NVIDIA H100 PCIe 80GB VRAM | 80GB | 252 vCPU 1440GB RAM 6600GB Storage | Canada | $1.95/GPU/hr $15.60/hr total (8×) | 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 H100 NVL
Opt for H100 in large-scale AI training or inference requiring over 80 GB VRAM, such as LLMs with billions of parameters. Its 1979 TFLOPS FP16 and 3350 GB/s bandwidth handle massive batches efficiently, ideal for data centers via SXM5 or NVL form factors. Cloud users benefit from NVLink and InfiniBand for clustering at $1.40 per hour starting price.
When to Choose the Quadro RTX 5000
Select Quadro RTX 5000 for budget-conscious professional visualization or CAD where 16 GB GDDR6 suffices. Its 11.2 TFLOPS FP32 supports rendering at lower costs of $0.82 per hour. PCIe form factor fits single-node workstations without needing H100's 700W TDP or high interconnects.
Use Cases
H100's 1979 TFLOPS FP16 and 80 to 94 GB HBM3 VRAM support training massive models with large batches. Quadro RTX 5000's 16 GB GDDR6 and 11.2 TFLOPS limit it to tiny models.
H100's 3958 TFLOPS FP8 and 3350 GB/s bandwidth enable high-throughput serving of large models. Quadro RTX 5000 lacks FP8 and sufficient VRAM for production inference.
H100 handles fine-tuning on datasets needing 80 GB VRAM with 67 TFLOPS FP32. Quadro RTX 5000's 448 GB/s bandwidth restricts batch sizes on 16 GB VRAM.
Quadro RTX 5000's 11.2 TFLOPS FP16 generates images adequately for small-scale use at $0.82 per hour. H100 excels for high-resolution or batched generation with superior bandwidth.
H100's 67 TFLOPS FP32 outperforms Quadro RTX 5000's 11.2 TFLOPS for simulations. Its PCIe 5.0 and NVLink enable scalable clusters.
Frequently Asked Questions
How much faster is H100 than Quadro RTX 5000 in FP16?▾
H100 achieves 1979 TFLOPS in FP16, approximately 176 times the 11.2 TFLOPS of Quadro RTX 5000. This gap accelerates AI training significantly. Real-world speedups depend on memory-bound tasks.
What is the VRAM difference between H100 and Quadro RTX 5000?▾
H100 provides 80 to 94 GB HBM3, five to six times the 16 GB GDDR6 in Quadro RTX 5000. This allows H100 to load larger models without swapping. Quadro RTX 5000 suits smaller datasets.
How do cloud prices compare for these GPUs?▾
H100 NVL starts at $1.40 per hour with an average of $2.89 per hour across nine offers. Quadro RTX 5000 is $0.82 per hour across two offers. H100's premium reflects superior specs.
Does Quadro RTX 5000 support NVLink like H100?▾
Both list NVLink as an interconnect option per specs. H100 adds PCIe 5.0 and InfiniBand for advanced scaling. Quadro RTX 5000's PCIe form factor limits multi-GPU use.
What is the TDP difference?▾
H100 consumes 700W TDP, over three times Quadro RTX 5000's 230W. H100 delivers far higher performance per watt in AI tasks. Quadro RTX 5000 fits power-constrained setups.
Can Quadro RTX 5000 handle LLM inference?▾
Quadro RTX 5000's 16 GB VRAM limits it to small LLMs with 11.2 TFLOPS FP16. H100's 3958 TFLOPS FP8 and 80 GB VRAM serve large models efficiently. Use Quadro for prototypes only.
Which is cheaper to rent, the H100 or the Quadro RTX 5000?▾
Cloud rental prices for both the H100 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 H100 have compared to the Quadro RTX 5000?▾
The H100 has 80 to 94 GB of HBM3 memory. The Quadro RTX 5000 has 16 GB of GDDR6 memory.
Can I find H100 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 H100 and the Quadro RTX 5000?▾
The H100 uses the Hopper architecture (2022) while the Quadro RTX 5000 uses Turing (2018). The H100 delivers 176.7x the FP16 throughput and 7.5x the memory bandwidth of the Quadro RTX 5000.