Specifications Compared
| Spec | H100 | QUADRO-P4000 |
|---|---|---|
| TDP | 700W | 105W |
| VRAM | 80-94 GB | 8 GB |
| CUDA Cores | 16,896 | 1,792 |
| Memory Type | HBM3 | GDDR5 |
| 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 | 5.3 TFLOPS |
| FP32 Performance | 67 TFLOPS | 5.3 TFLOPS |
| FP64 Performance | 34 TFLOPS | |
| INT8 Performance | 3,958 TOPS | |
| Memory Bandwidth | 3,350 GB/s | 243 GB/s |
Performance Analysis
The H100's FP16 throughput of 1979 TFLOPS vastly exceeds the Quadro P4000's 5.3 TFLOPS: this disparity accelerates deep learning training, where half-precision arithmetic processes vast datasets rapidly, reducing epochs from days to hours. In inference scenarios, the H100's FP8 capability at 3958 TFLOPS further amplifies speed for serving models at scale, while the P4000 struggles with even modest loads due to equivalent 5.3 TFLOPS FP16 and FP32 rates. FP32 performance shows the H100 at 67 TFLOPS against 5.3 TFLOPS, benefiting simulations and graphics rendering that demand single-precision accuracy. Memory bandwidth presents a 13-fold advantage for the H100 at 3350 GB/s over 243 GB/s: higher rates enable larger batch sizes in training, minimizing data bottlenecks and supporting models exceeding 8 GB VRAM limits of the P4000. The H100's 80 to 94 GB HBM3 capacity handles enormous models, whereas the P4000's 8 GB GDDR5 confines it to smaller datasets.
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 P4000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Paperspace | NVIDIA Quadro P4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | Canada | $0.51/GPU/hr | Available | ||
Paperspace | 2×NVIDIA Quadro P4000 8GB VRAM | 8GB | 16 vCPU 60GB RAM 50GB Storage | New York | $0.51/GPU/hr $1.02/hr total (2×) | Available | ||
Paperspace | 2×NVIDIA Quadro P4000 8GB VRAM | 8GB | 16 vCPU 60GB RAM 50GB Storage | Canada | $0.51/GPU/hr $1.02/hr total (2×) | Available | ||
Paperspace | NVIDIA Quadro P4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | Amsterdam | $0.51/GPU/hr | Available | ||
Paperspace | NVIDIA Quadro P4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | New York | $0.51/GPU/hr | Available |
When to Choose the H100 NVL
Select the H100 for intensive AI and HPC workloads: its 1979 TFLOPS FP16 and 80 to 94 GB VRAM excel in training large language models, enabling batch sizes infeasible on the P4000's 8 GB limit. Cloud users benefit from NVLink and PCIe 5.0 interconnects for multi-GPU scaling in clusters.
When to Choose the Quadro P4000
Opt for the Quadro P4000 in cost-sensitive, light professional tasks: 105W TDP and $0.51 per hour pricing suit CAD, basic rendering, or legacy software without AI demands. PCIe form factor integrates easily into standard workstations avoiding the H100's 700W power needs.
Use Cases
The H100's 80 to 94 GB HBM3 VRAM and 1979 TFLOPS FP16 handle massive models and large batches, unlike the P4000's 8 GB GDDR5 limit.
3958 TFLOPS FP8 on the H100 enables high-throughput serving; P4000's 5.3 TFLOPS FP16 cannot compete for real-time queries.
67 TFLOPS FP32 and 3350 GB/s bandwidth on H100 speed iterations on tuned models; P4000's matching 5.3 TFLOPS metrics fall short.
H100's vast VRAM supports high-resolution generations at scale; P4000's 8 GB restricts image sizes and quality.
H100's 67 TFLOPS FP32 outperforms P4000's 5.3 TFLOPS for simulations; superior interconnects aid distributed computing.
Frequently Asked Questions
What is the performance difference in FP16 between H100 and Quadro P4000?▾
The H100 achieves 1979 TFLOPS in FP16, while the Quadro P4000 reaches 5.3 TFLOPS. This gap translates to roughly 373 times faster half-precision computations, ideal for AI training. Real-world tasks like model optimization complete far quicker on the H100.
How much VRAM do these GPUs have?▾
The H100 provides 80 to 94 GB HBM3 VRAM, compared to 8 GB GDDR5 on the Quadro P4000. Larger capacity on H100 supports giant models without swapping. P4000 suits only small datasets under 8 GB.
What are the cloud pricing differences?▾
H100 NVL starts at $1.40 per hour, averaging $2.89 across nine offers. Quadro P4000 averages $0.51 per hour over six offers. Budget users favor P4000 for light tasks, while H100 justifies cost for high-performance needs.
Which has higher memory bandwidth?▾
H100 delivers 3350 GB/s, over 13 times the P4000's 243 GB/s. This enables larger batch sizes and faster data transfer in training. P4000 bandwidth limits throughput in memory-intensive workloads.
What are the power requirements?▾
The H100 has a 700W TDP, demanding robust cooling and power supplies. Quadro P4000 uses 105W, fitting standard desktops easily. Choose based on infrastructure: H100 for datacenters, P4000 for workstations.
When was each GPU released?▾
H100 uses Hopper architecture from 2022; Quadro P4000 employs Pascal from 2017. Five-year gap explains spec leaps like H100's FP8 at 3958 TFLOPS. Legacy P4000 persists in niche, low-cost cloud options.
Which is cheaper to rent, the H100 or the Quadro P4000?▾
Cloud rental prices for both the H100 and Quadro P4000 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 P4000?▾
The H100 has 80 to 94 GB of HBM3 memory. The Quadro P4000 has 8 GB of GDDR5 memory.
Can I find H100 and Quadro P4000 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 P4000?▾
The H100 uses the Hopper architecture (2022) while the Quadro P4000 uses Pascal (2017). The H100 delivers 373.4x the FP16 throughput and 13.8x the memory bandwidth of the Quadro P4000.