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
Compute capabilities reveal stark contrasts: the H100 delivers 1979 TFLOPS in FP16 and 67 TFLOPS in FP32, dwarfing the Quadro P5000's 8.9 TFLOPS in both formats. This disparity translates to dramatically faster deep learning training and inference on the H100, where FP16 dominance accelerates matrix operations central to neural networks by over 200 times.
Memory specifications amplify these gains: 80 to 94 GB HBM3 on the H100 supports massive models and large batch sizes, impossible with the P5000's 16 GB GDDR5X. The H100's 3350 GB/s bandwidth versus 288 GB/s minimizes data transfer bottlenecks, enabling sustained high throughput in training loops and reducing time per epoch significantly.
Power demands reflect this evolution: the H100's 700W TDP suits datacenter cooling, while the P5000's 180W fits edge or workstation use. Overall, these specs position the H100 for modern AI pipelines, rendering the P5000 obsolete for demanding workloads.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
H100
| 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
The H100 excels in high-scale AI and machine learning tasks: its 1979 TFLOPS FP16 performance and 80 to 94 GB VRAM handle large language model training and inference with batch sizes far beyond the P5000's 16 GB limit. Cloud users prioritizing speed over cost select it for production environments across 57 live offers starting at $0.80 per hour.
When to Choose the Quadro P5000
The Quadro P5000 suits legacy visualization and CAD workflows: its Pascal architecture and 8.9 TFLOPS FP32 align with older software stacks, while 180W TDP enables deployment in power-constrained setups. At a consistent $0.78 per hour average across 6 offers, it provides economical access for non-AI tasks like 3D rendering without overkill.
Use Cases
The H100's 1979 TFLOPS FP16 and 80 to 94 GB VRAM enable training massive models with large batches. The P5000's 8.9 TFLOPS and 16 GB cannot handle such scales.
H100's 3958 TFLOPS FP8 and high bandwidth of 3350 GB/s support high-throughput serving. P5000 lacks capacity for production inference loads.
With 67 TFLOPS FP32 and vast VRAM, H100 fine-tunes large models efficiently. P5000's limited 16 GB restricts dataset sizes.
H100's FP16 performance of 1979 TFLOPS generates images rapidly at high resolutions. P5000 struggles with memory for complex generations.
H100's 3350 GB/s bandwidth and 700W TDP optimize simulations with large datasets. P5000 suffices only for small-scale computations.
Frequently Asked Questions
What is the performance difference between H100 and Quadro P5000 in FP16?▾
The H100 achieves 1979 TFLOPS in FP16, while the Quadro P5000 reaches 8.9 TFLOPS. This results in over 220 times faster tensor core operations for AI tasks on the H100.
How much VRAM do H100 and Quadro P5000 have?▾
H100 offers 80 to 94 GB HBM3 VRAM, compared to Quadro P5000's 16 GB GDDR5X. The H100 supports much larger models and batches as a result.
What are the cloud pricing ranges for these GPUs?▾
H100 starts from $0.80 per hour with an average of $3.21 per hour across 57 offers. Quadro P5000 starts and averages $0.78 per hour across 6 offers.
Which GPU has higher memory bandwidth?▾
H100 provides 3350 GB/s, vastly exceeding Quadro P5000's 288 GB/s. This enables the H100 to handle data-intensive workloads without bottlenecks.
What are the TDP ratings?▾
H100 has a 700W TDP for datacenter use, while Quadro P5000 uses 180W suitable for workstations. Lower TDP on P5000 reduces power costs in light setups.
When was each GPU released?▾
H100 launched in 2022 on Hopper architecture. Quadro P5000 dates to 2016 on Pascal, marking a six-year technology gap.
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.