Specifications Compared
| Spec | H200 | QUADRO-P4000 |
|---|---|---|
| TDP | 700W | 105W |
| VRAM | 141 GB | 8 GB |
| CUDA Cores | 16,896 | 1,792 |
| Memory Type | HBM3e | GDDR5 |
| Architecture | Hopper | Pascal |
| Form Factors | SXM, 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 | 4,800 GB/s | 243 GB/s |
Performance Analysis
The H200's 1979 TFLOPS FP16 performance vastly outpaces the P4000's 5.3 TFLOPS, accelerating deep learning training where mixed-precision computations dominate; its 3958 TFLOPS FP8 further optimizes large language model inference. FP32 throughput of 67 TFLOPS on the H200 supports scientific simulations effectively, compared to 5.3 TFLOPS on the P4000, which limits complex modeling. Memory differences prove critical: 141 GB HBM3e on the H200 enables massive batch sizes for training billion-parameter models without swapping, while 8 GB GDDR5 on the P4000 restricts workloads to small datasets. The H200's 4800 GB/s bandwidth sustains high data throughput, preventing bottlenecks in memory-intensive tasks, unlike the P4000's 243 GB/s. Power draw of 700W on the H200 suits datacenters, contrasting the P4000's efficient 105W for lighter use.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
H200
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vultr | NVIDIA GH200 Grace Hopper 96GB VRAM | 96GB | 72 vCPU 480GB RAM 960GB Storage | Atlanta | $1.99/GPU/hr | Available | ||
 Lambda Labs | NVIDIA GH200 Grace Hopper 96GB VRAM | 96GB | 64 vCPU 432GB RAM 4096GB Storage | Virginia | $2.29/GPU/hr | Available | ||
 Nebius | NVIDIA H200 SXM 141GB VRAM | 141GB | 16 vCPU 200GB RAM | 🌍Europe | $2.45/GPU/hr | |||
 CoreWeave | 8×NVIDIA H200 SXM 141GB VRAM | 141GB | 128 vCPU 0GB RAM 61440GB Storage | United States | $2.58/GPU/hr $20.64/hr total (8×) | |||
 Ori | 4×NVIDIA H200 SXM 141GB VRAM | 141GB | 96 vCPU 960GB RAM 12000GB Storage | London | $3.50/GPU/hr $14.00/hr total (4×) | 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 H200
Opt for the H200 in large-scale AI training or inference scenarios requiring extensive VRAM: its 141 GB HBM3e handles models exceeding 100 billion parameters, supported by 1979 TFLOPS FP16. High-bandwidth interconnects like NVLink and PCIe 5.0 enable multi-GPU scaling for distributed computing. Cloud deployments benefit from 26 live offers starting at $0.50 per hour for peak performance needs.
When to Choose the Quadro P4000
Select the Quadro P4000 for budget-constrained, low-intensity professional visualization or CAD tasks: 8 GB GDDR5 suffices for standard workflows, with 105W TDP fitting desktop systems. Average cloud pricing of $0.51 per hour across 6 offers provides economical access without overprovisioning. It suits legacy software incompatible with newer architectures.
Use Cases
The H200's 141 GB HBM3e VRAM and 1979 TFLOPS FP16 support training of massive LLMs with large batch sizes. The P4000's 8 GB GDDR5 cannot accommodate such models.
H200's 3958 TFLOPS FP8 and 4800 GB/s bandwidth deliver high-throughput inference for production-scale LLMs. P4000's 5.3 TFLOPS FP16 falls short for real-time demands.
Fine-tuning benefits from H200's 67 TFLOPS FP32 and vast memory for parameter-efficient methods on large datasets. P4000 lacks capacity for datasets beyond 8 GB.
H200 accelerates image generation with 1979 TFLOPS FP16 for high-resolution Stable Diffusion runs. P4000's limited 243 GB/s bandwidth slows iterative diffusion steps.
H200's 67 TFLOPS FP32 excels in simulations requiring high precision and memory, like molecular dynamics. P4000's 5.3 TFLOPS suits only small-scale computations.
Frequently Asked Questions
What is the VRAM capacity of the H200 versus Quadro P4000?▾
The H200 features 141 GB HBM3e VRAM, enabling large model handling. The Quadro P4000 has 8 GB GDDR5, suitable for smaller professional tasks. This difference impacts batch sizes in AI workloads.
How do FP16 performance levels compare?▾
H200 delivers 1979 TFLOPS FP16 for rapid AI training. Quadro P4000 offers 5.3 TFLOPS FP16, adequate for basic deep learning. The gap exceeds 370 times in throughput.
What are the cloud pricing details?▾
H200 starts at $0.50 per hour with an average of $3.62 per hour across 26 offers. Quadro P4000 begins at $0.51 per hour averaging $0.51 per hour over 6 offers. Entry prices align closely despite performance disparity.
Which GPU consumes less power?▾
Quadro P4000 uses 105W TDP, ideal for low-power setups. H200 requires 700W, designed for datacenter cooling. Power efficiency favors P4000 in edge deployments.
What architectures do they use?▾
H200 employs Hopper from 2024 with advanced AI features like FP8. Quadro P4000 uses Pascal from 2017 for professional graphics. The seven-year generational difference drives spec advantages.
How does memory bandwidth differ?▾
H200 provides 4800 GB/s bandwidth to avoid data bottlenecks in large models. Quadro P4000 offers 243 GB/s, sufficient for modest workloads. This 20-fold difference affects training speed.
Which is cheaper to rent, the H200 or the Quadro P4000?▾
Cloud rental prices for both the H200 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 H200 have compared to the Quadro P4000?▾
The H200 has 141 GB of HBM3e memory. The Quadro P4000 has 8 GB of GDDR5 memory.
Can I find H200 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 H200 and the Quadro P4000?▾
The H200 uses the Hopper architecture (2024) while the Quadro P4000 uses Pascal (2017). The H200 delivers 373.4x the FP16 throughput and 19.8x the memory bandwidth of the Quadro P4000.