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 PCIe vastly outperforms the Quadro P5000 in compute capabilities: its FP16 reaches 1979 TFLOPS versus 8.9 TFLOPS, and FP32 hits 67 TFLOPS against 8.9 TFLOPS. This disparity accelerates deep learning training, where FP16 precision dominates, enabling the H100 to process models 222 times faster in half-precision tasks. For inference, the H100's FP8 at 3958 TFLOPS provides ultra-efficient low-precision serving unavailable on the P5000.
Memory specifications further widen the gap: 80-94 GB HBM3 VRAM and 3350 GB/s bandwidth on the H100 PCIe support massive batch sizes for large language models, reducing out-of-memory errors common with the P5000's 16 GB GDDR5X and 288 GB/s. Larger batches on the H100 improve training throughput by minimizing padding overhead and enabling full utilization of 700W TDP, compared to the P5000's 180W limit which constrains sustained high-load performance.
Power efficiency reflects architecture maturity: despite higher 700W TDP, the H100 delivers over 200 times the FP16 throughput per watt versus the P5000, making it superior for dense cloud deployments.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
H100 PCIe
| 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 PCIe
Choose the H100 PCIe for AI and machine learning workloads requiring high throughput: its 1979 TFLOPS FP16 and 80-94 GB VRAM handle large-scale LLM training or inference with batch sizes infeasible on the P5000's 16 GB limit. Datacenter environments benefit from PCIe 5.0 and NVLink for multi-GPU scaling at $1.25 per hour starting price.
Scientific simulations or Stable Diffusion generation thrive on the H100's 3350 GB/s bandwidth, enabling rapid iterations unavailable with the P5000's 288 GB/s.
When to Choose the Quadro P5000
Select the Quadro P5000 for budget-conscious legacy applications: at $0.78 per hour, its 8.9 TFLOPS FP32 suits CAD, light rendering, or older professional software optimized for Pascal architecture. Low 180W TDP fits power-sensitive on-premises workstations without cloud overhead.
It excels in non-AI tasks like basic visualization where 16 GB VRAM suffices, avoiding the H100's higher $2.68 average hourly cost for undemanding workloads.
Use Cases
The H100's 1979 TFLOPS FP16 and 80-94 GB VRAM enable training massive models with large batches, far beyond the P5000's 8.9 TFLOPS and 16 GB capacity.
H100's FP8 at 3958 TFLOPS and 3350 GB/s bandwidth support high-throughput serving; P5000 lacks FP8 and sufficient VRAM for production-scale inference.
With 67 TFLOPS FP32 and extensive HBM3 memory, H100 accelerates fine-tuning efficiently; P5000's matching 8.9 TFLOPS FP16/FP32 struggles with dataset sizes.
H100's high FP16 performance and VRAM handle high-resolution generations quickly; P5000's lower specs limit image quality and speed.
H100's 3350 GB/s bandwidth and 700W TDP sustain complex simulations; P5000's 288 GB/s and 180W TDP constrain large-scale computations.
Frequently Asked Questions
What is the VRAM difference between H100 PCIe and Quadro P5000?▾
The H100 PCIe provides 80-94 GB HBM3 VRAM, while the Quadro P5000 has 16 GB GDDR5X. This allows H100 to manage much larger models without swapping. The gap supports 5-6 times more data residency for AI tasks.
How do FP16 performances compare?▾
H100 PCIe achieves 1979 TFLOPS in FP16, compared to 8.9 TFLOPS on Quadro P5000. This results in over 222 times faster half-precision compute for training. Inference workloads see similar acceleration.
What are the cloud pricing differences?▾
H100 PCIe starts at $1.25 per hour with $2.68 average across 16 offers; Quadro P5000 is $0.78 per hour across 6 offers. Budget users favor P5000 for light tasks. High-performance needs justify H100 costs.
Which has higher memory bandwidth?▾
H100 PCIe offers 3350 GB/s, dwarfing Quadro P5000's 288 GB/s. Higher bandwidth enables larger batch sizes in training. This reduces latency in data-heavy applications.
What are the TDP ratings?▾
H100 PCIe has 700W TDP for sustained peak performance; Quadro P5000 uses 180W for efficiency in low-power setups. H100 suits dense servers. P5000 fits edge or desktop use.
Can Quadro P5000 handle modern AI tasks?▾
Quadro P5000's 8.9 TFLOPS FP16 and 16 GB VRAM limit it to small models; H100's 1979 TFLOPS and 80-94 GB excel in current AI. Legacy software runs well on P5000. Upgrading to H100 boosts capability dramatically.
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.