Specifications Compared
| Spec | GH200 | QUADRO-P5000 |
|---|---|---|
| TDP | 900W | 180W |
| VRAM | 96 GB | 16 GB |
| CUDA Cores | 16,896 | 2,560 |
| Memory Type | HBM3 | GDDR5X |
| Architecture | Hopper | Pascal |
| Form Factors | SXM | PCIe |
| Interconnect | NVLink-C2C, PCIe 5.0 | |
| 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 | 4,000 GB/s | 288 GB/s |
Performance Analysis
Compute disparities dominate: GH200 delivers 1979 TFLOPS FP16 and 3958 TFLOPS FP8, surpassing P5000's 8.9 TFLOPS FP16 by 222 times. This gap transforms AI training, where FP16 precision handles model optimization rapidly on GH200, while P5000 struggles with even modest datasets. FP32 performance on GH200 at 67 TFLOPS outpaces P5000's 8.9 TFLOPS, aiding inference and simulations requiring single precision.
Memory configurations reshape workloads: GH200's 96 GB HBM3 versus P5000's 16 GB GDDR5X restricts batch sizes on the latter for large language models, often forcing reductions that slow convergence. Bandwidth of 4000 GB/s on GH200, compared to 288 GB/s, accelerates data throughput, enabling larger batches in inference and reducing latency by facilitating swift tensor movements.
Power profiles reflect intent: GH200's 900W TDP supports sustained high-throughput AI, while P5000's 180W suits lighter professional rendering without thermal overload.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
GH200
| 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 | ||
 Denvr | NVIDIA GH200 Grace Hopper 96GB VRAM | 96GB | 72 vCPU 480GB RAM 7600GB Storage | Virginia | $3.87/GPU/hr | |||
 CoreWeave | NVIDIA GH200 Grace Hopper 96GB VRAM | 96GB | 72 vCPU 480GB RAM 7680GB Storage | United States | $6.50/GPU/hr |
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 GH200
Select the GH200 for demanding AI training and inference: its 96 GB HBM3 VRAM accommodates models exceeding 16 GB, and 1979 TFLOPS FP16 accelerates iterations. High-bandwidth 4000 GB/s memory ensures efficient handling of large datasets in HPC environments. Cloud pricing from $1.99 per hour justifies investment for scalable, production-grade workloads.
When to Choose the Quadro P5000
The Quadro P5000 suits budget-conscious visualization and legacy CAD: 16 GB GDDR5X VRAM and 8.9 TFLOPS FP32 support professional rendering at $0.78 per hour. Its 180W TDP enables deployment in power-sensitive setups without exceeding 288 GB/s bandwidth limits for non-AI tasks.
Use Cases
GH200's 96 GB HBM3 VRAM and 1979 TFLOPS FP16 handle massive parameter counts; P5000's 16 GB GDDR5X cannot support required batch sizes.
3958 TFLOPS FP8 and 4000 GB/s bandwidth on GH200 enable low-latency serving of large models; P5000's 288 GB/s limits throughput.
GH200's 67 TFLOPS FP32 and high memory capacity speed parameter updates; P5000's 8.9 TFLOPS FP32 proves inadequate for efficiency.
96 GB VRAM on GH200 manages high-resolution generations without swapping; 16 GB on P5000 causes frequent out-of-memory errors.
GH200's 4000 GB/s bandwidth accelerates simulations with large datasets; P5000's 288 GB/s bottlenecks complex computations.
Frequently Asked Questions
What is the FP16 performance difference between GH200 and Quadro P5000?▾
GH200 achieves 1979 TFLOPS FP16, while Quadro P5000 reaches 8.9 TFLOPS. This yields a 222-fold advantage for GH200 in AI training tasks. Memory bandwidth further amplifies this, at 4000 GB/s versus 288 GB/s.
How much VRAM do GH200 and Quadro P5000 have?▾
GH200 features 96 GB HBM3 VRAM, compared to 16 GB GDDR5X on Quadro P5000. The GH200 supports larger models without batch size reductions. This difference proves critical for LLM workloads.
What are the cloud pricing ranges for these GPUs?▾
GH200 pricing starts from $1.99 per hour with an average of $3.59 per hour across four offers. Quadro P5000 is available from $0.78 per hour across six offers. Costs align with performance disparities.
Is GH200 suitable for AI compared to Quadro P5000?▾
GH200 excels with 3958 TFLOPS FP8 and Hopper architecture for modern AI. Quadro P5000's Pascal design and 8.9 TFLOPS limit it to legacy uses. Bandwidth of 4000 GB/s on GH200 enhances inference scalability.
What are the TDP ratings of GH200 and Quadro P5000?▾
GH200 has a 900W TDP for high-throughput computing. Quadro P5000 operates at 180W, ideal for lower-power setups. This reflects their targets: AI supercomputing versus professional visualization.
Which GPU has higher memory bandwidth?▾
GH200 provides 4000 GB/s, dwarfing Quadro P5000's 288 GB/s by nearly 14 times. Higher bandwidth enables faster data access in training. This impacts batch sizes directly in deep learning.
Which is cheaper to rent, the GH200 or the Quadro P5000?▾
Cloud rental prices for both the GH200 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 GH200 have compared to the Quadro P5000?▾
The GH200 has 96 GB of HBM3 memory. The Quadro P5000 has 16 GB of GDDR5X memory.
Can I find GH200 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 GH200 and the Quadro P5000?▾
The GH200 uses the Hopper architecture (2023) while the Quadro P5000 uses Pascal (2016). The GH200 delivers 222.4x the FP16 throughput and 13.9x the memory bandwidth of the Quadro P5000.