Specifications Compared
| Spec | H100 | QUADRO-P5000 |
|---|---|---|
| TDP | 700W | 180W |
| VRAM | 80-94 GB | 16 GB |
| CUDA Cores | 16,896 | 2,560 |
| Memory Type | HBM3 | GDDR5X |
| Architecture | Hopper | Pascal |
| Form Factors | SXM5, PCIe, NVL | PCIe |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | |
| Tensor Cores | 528 | |
| FP8 Performance | 3,958 TFLOPS | |
| FP16 Performance | 1,979 TFLOPS | 8.9 TFLOPS |
| FP32 Performance | 67 TFLOPS | 8.9 TFLOPS |
| FP64 Performance | 34 TFLOPS | |
| INT8 Performance | 3,958 TOPS | |
| Memory Bandwidth | 3,350 GB/s | 288 GB/s |
Performance Analysis
The H100 NVL's FP16 throughput of 1979 TFLOPS accelerates deep learning training and inference far beyond the Quadro P5000's 8.9 TFLOPS, where half-precision computations dominate modern neural networks. Its FP32 performance of 67 TFLOPS still surpasses the P5000's 8.9 TFLOPS, supporting traditional scientific simulations. The FP16 to FP32 delta on the H100 NVL emphasizes optimized AI pipelines, reducing training times by orders of magnitude for large models.
Memory bandwidth defines practical limits: the H100 NVL's 3350 GB/s enables massive batch sizes in training, fitting models with billions of parameters into 80-94 GB VRAM without swapping. The P5000's 288 GB/s and 16 GB VRAM restrict it to smaller batches, causing bottlenecks in data-heavy inference. Power draw reflects this: 700W TDP for H100 NVL versus 180W for P5000, influencing datacenter scaling.
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 P5000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Paperspace | 2×NVIDIA Quadro P5000 16GB VRAM | 16GB | 16 vCPU 60GB RAM 50GB Storage | Amsterdam | $0.78/GPU/hr $1.56/hr total (2×) | Available | ||
Paperspace | 2×NVIDIA Quadro P5000 16GB VRAM | 16GB | 16 vCPU 60GB RAM 50GB Storage | Canada | $0.78/GPU/hr $1.56/hr total (2×) | Available | ||
Paperspace | 2×NVIDIA Quadro P5000 16GB VRAM | 16GB | 16 vCPU 60GB RAM 50GB Storage | New York | $0.78/GPU/hr $1.56/hr total (2×) | Available | ||
Paperspace | NVIDIA Quadro P5000 16GB VRAM | 16GB | 8 vCPU 30GB RAM 50GB Storage | Amsterdam | $0.78/GPU/hr | Available | ||
Paperspace | NVIDIA Quadro P5000 16GB VRAM | 16GB | 8 vCPU 30GB RAM 50GB Storage | New York | $0.78/GPU/hr | Available |
When to Choose the H100 NVL
Opt for the NVIDIA H100 NVL in AI-driven scenarios requiring high VRAM and throughput, such as training large language models with over 16 GB needs. Its 1979 TFLOPS FP16 and 3350 GB/s bandwidth excel in distributed training via NVLink and PCIe 5.0, unavailable on the P5000. Cloud deployments benefit from its SXM5 and NVL form factors for dense scaling.
When to Choose the Quadro P5000
Select the NVIDIA Quadro P5000 for legacy professional applications like CAD or light rendering where 16 GB GDDR5X suffices. Its 180W TDP suits edge or low-power setups, and $0.78/hr pricing undercuts the H100 NVL's $1.40/hr minimum. PCIe form factor integrates easily into older workstations without modern interconnect demands.
Use Cases
H100 NVL's 80-94 GB HBM3 VRAM and 1979 TFLOPS FP16 handle massive models; Quadro P5000's 16 GB GDDR5X causes out-of-memory errors.
3958 TFLOPS FP8 on H100 NVL supports high-throughput serving; P5000's 8.9 TFLOPS FP16 limits requests per second.
3350 GB/s bandwidth enables large batch sizes on H100 NVL; P5000's 288 GB/s slows iterations with small 16 GB VRAM.
H100 NVL's high FP16 performance generates images rapidly; Quadro P5000 struggles with VRAM for high-resolution outputs.
H100 NVL excels in FP32-heavy simulations at 67 TFLOPS; P5000 suffices for modest tasks at 8.9 TFLOPS with lower power needs.
Frequently Asked Questions
What is the VRAM difference between H100 NVL and Quadro P5000?▾
The H100 NVL provides 80-94 GB HBM3 VRAM, enabling large model handling. The Quadro P5000 has 16 GB GDDR5X, suitable only for smaller datasets. This gap affects batch sizes in AI workloads.
How do their FP16 performances compare?▾
H100 NVL achieves 1979 TFLOPS in FP16 for rapid neural network training. Quadro P5000 delivers 8.9 TFLOPS, over 200 times slower. Inference benefits most from this disparity.
What are the cloud rental prices?▾
H100 NVL starts at $1.40/hr, averaging $2.89/hr across 9 offers. Quadro P5000 is $0.78/hr average across 6 offers. Pricing reflects performance tiers.
Which has higher memory bandwidth?▾
H100 NVL offers 3350 GB/s, supporting huge data transfers. Quadro P5000 provides 288 GB/s, limiting throughput. Bandwidth impacts training efficiency.
What are their power consumptions?▾
H100 NVL requires 700W TDP for peak performance. Quadro P5000 uses 180W, ideal for power-constrained environments. This affects deployment scalability.
Is H100 NVL compatible with NVLink?▾
H100 NVL supports NVLink, PCIe 5.0, and InfiniBand for multi-GPU setups. Quadro P5000 lacks these, relying on basic PCIe. Interconnects enhance H100 NVL clustering.
Which is cheaper to rent, the H100 or the Quadro P5000?▾
Cloud rental prices for both the H100 and Quadro P5000 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 P5000?▾
The H100 has 80 to 94 GB of HBM3 memory. The Quadro P5000 has 16 GB of GDDR5X memory.
Can I find H100 and Quadro P5000 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 P5000?▾
The H100 uses the Hopper architecture (2022) while the Quadro P5000 uses Pascal (2016). The H100 delivers 222.4x the FP16 throughput and 11.6x the memory bandwidth of the Quadro P5000.