Specifications Compared
| Spec | H100 | QUADRO-P6000 |
|---|---|---|
| TDP | 700W | 250W |
| VRAM | 80-94 GB | 24 GB |
| CUDA Cores | 16,896 | 3,840 |
| 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 | 12.6 TFLOPS |
| FP32 Performance | 67 TFLOPS | 12.6 TFLOPS |
| FP64 Performance | 34 TFLOPS | |
| INT8 Performance | 3,958 TOPS | |
| Memory Bandwidth | 3,350 GB/s | 432 GB/s |
Performance Analysis
H100 delivers 1979 TFLOPS in FP16 compared to P6000's 12.6 TFLOPS: this 157 times higher throughput accelerates deep learning training where half-precision dominates. FP32 performance stands at 67 TFLOPS on H100 versus 12.6 TFLOPS on P6000, yielding over five times speedup for simulation and rendering tasks.
Memory bandwidth of 3350 GB/s on H100 dwarfs P6000's 432 GB/s by a factor of 7.75: larger capacities enable bigger batch sizes in model training, minimizing overhead and iterations. For inference, H100's FP8 capability at 3958 TFLOPS optimizes low-precision deployments of large models, far beyond P6000's limits.
TDP differences appear at 700W for H100 and 250W for P6000, influencing power efficiency in dense clusters though H100's raw output compensates in high-throughput scenarios.
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 P6000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Paperspace | NVIDIA Quadro P6000 24GB VRAM | 24GB | 8 vCPU 30GB RAM 50GB Storage | New York | $1.10/GPU/hr | Available | ||
Paperspace | NVIDIA Quadro P6000 24GB VRAM | 24GB | 8 vCPU 30GB RAM 50GB Storage | Amsterdam | $1.10/GPU/hr | Available | ||
Paperspace | NVIDIA Quadro P6000 24GB VRAM | 24GB | 8 vCPU 30GB RAM 50GB Storage | Canada | $1.10/GPU/hr | Available | ||
Paperspace | 2×NVIDIA Quadro P6000 24GB VRAM | 24GB | 16 vCPU 60GB RAM 50GB Storage | New York | $1.10/GPU/hr $2.20/hr total (2×) | Available | ||
Paperspace | 2×NVIDIA Quadro P6000 24GB VRAM | 24GB | 16 vCPU 60GB RAM 50GB Storage | Amsterdam | $1.10/GPU/hr $2.20/hr total (2×) | Available |
When to Choose the H100 PCIe
Select H100 PCIe for intensive AI and machine learning workloads requiring high VRAM. Its 80 to 94 GB HBM3 handles models exceeding P6000's 24 GB limit, while 1979 TFLOPS FP16 speeds training cycles dramatically.
Multi-GPU setups benefit from NVLink and PCIe 5.0, enabling scalable clusters unavailable on P6000.
When to Choose the Quadro P6000
Opt for Quadro P6000 in budget-constrained professional visualization or legacy applications. At $1.10 per hour, it delivers 12.6 TFLOPS FP32 for CAD and rendering without H100's 700W power demands.
Light compute tasks fit its 24 GB VRAM and 250W TDP perfectly, avoiding overprovisioning costs.
Use Cases
H100's 80-94 GB VRAM and 1979 TFLOPS FP16 handle billion-parameter models with large batches, impossible on P6000's 24 GB and 12.6 TFLOPS.
H100's 3958 TFLOPS FP8 and 3350 GB/s bandwidth enable high-throughput serving; P6000's 12.6 TFLOPS FP16 cannot compete for real-time queries.
With 67 TFLOPS FP32 and vast VRAM, H100 accelerates iterations; P6000 limits scale at 12.6 TFLOPS and 24 GB.
H100's memory bandwidth of 3350 GB/s supports high-resolution generation at speed; P6000's 432 GB/s restricts image sizes and throughput.
H100's 67 TFLOPS FP32 outperforms P6000's 12.6 TFLOPS for simulations; superior interconnects aid distributed workloads.
Frequently Asked Questions
Which GPU has more VRAM: H100 PCIe or Quadro P6000?▾
H100 PCIe offers 80 to 94 GB HBM3 VRAM, exceeding Quadro P6000's 24 GB GDDR5X by over three times. This enables larger models in AI tasks. Bandwidth follows suit at 3350 GB/s versus 432 GB/s.
How do FP16 performances compare between H100 and P6000?▾
H100 achieves 1979 TFLOPS FP16, 157 times higher than P6000's 12.6 TFLOPS. This gap transforms training speed for neural networks. FP32 shows 67 TFLOPS versus 12.6 TFLOPS on H100.
What are the cloud pricing differences for these GPUs?▾
H100 PCIe pricing starts at $1.25 per hour, averaging $2.68 across 16 offers. Quadro P6000 is cheaper at $1.10 per hour average across 6 offers. Costs reflect performance disparities.
Is H100 more power-hungry than P6000?▾
H100 PCIe has a 700W TDP, nearly three times P6000's 250W. Higher draw supports extreme compute like 3958 TFLOPS FP8. Efficiency per watt favors H100 in dense AI deployments.
What architectures power H100 and Quadro P6000?▾
H100 uses Hopper from 2022 with NVLink interconnects. P6000 employs Pascal from 2016 limited to PCIe. The six-year difference drives H100's superior 3350 GB/s bandwidth.
Can P6000 handle modern AI workloads like H100?▾
P6000's 12.6 TFLOPS FP16 falls short for large-scale AI versus H100's 1979 TFLOPS. Its 24 GB VRAM limits model sizes. Use P6000 for legacy viz, H100 for training.
Which is cheaper to rent, the H100 or the Quadro P6000?▾
Cloud rental prices for both the H100 and Quadro P6000 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 P6000?▾
The H100 has 80 to 94 GB of HBM3 memory. The Quadro P6000 has 24 GB of GDDR5X memory.
Can I find H100 and Quadro P6000 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 P6000?▾
The H100 uses the Hopper architecture (2022) while the Quadro P6000 uses Pascal (2016). The H100 delivers 157.1x the FP16 throughput and 7.8x the memory bandwidth of the Quadro P6000.