Specifications Compared
| Spec | GH200 | QUADRO-P6000 |
|---|---|---|
| TDP | 900W | 250W |
| VRAM | 96 GB | 24 GB |
| CUDA Cores | 16,896 | 3,840 |
| 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 | 12.6 TFLOPS |
| FP32 Performance | 67 TFLOPS | 12.6 TFLOPS |
| FP64 Performance | 34 TFLOPS | |
| INT8 Performance | 3,958 TOPS | |
| Memory Bandwidth | 4,000 GB/s | 432 GB/s |
Performance Analysis
The GH200 delivers 1979 TFLOPS in FP16 performance compared to the Quadro P6000's 12.6 TFLOPS: this gap accelerates deep learning training by over 150 times in half-precision tasks. For FP32 compute, common in scientific simulations, the GH200 provides 67 TFLOPS versus 12.6 TFLOPS on the P6000. The GH200's FP8 capability at 3958 TFLOPS further optimizes inference workloads. Memory bandwidth presents another stark contrast: 4000 GB/s on the GH200 supports massive batch sizes in model training, enabling efficient handling of datasets that exceed the P6000's 432 GB/s limit. This bandwidth disparity reduces bottlenecks in VRAM-intensive operations, such as loading large language models. Power draw reflects efficiency differences: the GH200 consumes 900W in SXM form factor with NVLink-C2C and PCIe 5.0 interconnects, while the P6000 uses 250W in PCIe form.
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 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 GH200
Select the GH200 for AI training and inference on large models exceeding 24 GB VRAM, where its 96 GB HBM3 and 1979 TFLOPS FP16 outperform the P6000. High memory bandwidth of 4000 GB/s ensures large batch sizes without slowdowns in data centers supporting NVLink-C2C interconnects.
When to Choose the Quadro P6000
Choose the Quadro P6000 for legacy CAD or visualization software optimized for Pascal architecture, where 24 GB GDDR5X suffices and 250W TDP fits compact workstations. Its lower pricing at $1.10 per hour across six cloud offers suits infrequent, low-compute professional tasks without modern AI demands.
Use Cases
The GH200's 96 GB HBM3 VRAM and 1979 TFLOPS FP16 handle massive parameter sets that exceed the P6000's 24 GB limit. Its 4000 GB/s bandwidth supports large batch sizes essential for efficient training.
GH200 FP8 performance at 3958 TFLOPS accelerates high-throughput inference far beyond P6000's 12.6 TFLOPS FP16. The 96 GB VRAM accommodates full model loading without swapping.
Fine-tuning large models benefits from GH200's 67 TFLOPS FP32 and 4000 GB/s bandwidth, enabling quick iterations unavailable on P6000's 12.6 TFLOPS and 432 GB/s.
GH200 96 GB VRAM supports high-resolution image generation at scale, with 1979 TFLOPS FP16 speeding diffusion processes over P6000's constrained 24 GB and 12.6 TFLOPS.
Scientific simulations leverage GH200's 67 TFLOPS FP32 and NVLink-C2C interconnect for multi-GPU scaling, outperforming P6000's 12.6 TFLOPS in PCIe setups.
Frequently Asked Questions
What is the VRAM capacity of GH200 versus Quadro P6000?▾
The GH200 offers 96 GB of HBM3 VRAM, while the Quadro P6000 provides 24 GB of GDDR5X. This fourfold difference allows GH200 to manage larger models in AI workloads.
How do their memory bandwidths compare?▾
GH200 achieves 4000 GB/s bandwidth, compared to 432 GB/s on Quadro P6000. Higher bandwidth on GH200 reduces data transfer bottlenecks for large batch training.
What are the FP16 performance differences?▾
GH200 delivers 1979 TFLOPS in FP16, dwarfing Quadro P6000's 12.6 TFLOPS. This enables over 150 times faster deep learning operations on GH200.
Which GPU has lower power consumption?▾
Quadro P6000 uses 250W TDP, versus GH200's 900W. Lower power suits edge or workstation deployments where cooling is limited.
What are the current cloud pricing ranges?▾
GH200 starts from $1.99 per hour averaging $3.59 across four offers; Quadro P6000 is from $1.10 per hour averaging $1.10 over six offers. Pricing reflects performance disparities.
Which architecture is newer?▾
GH200 uses Hopper from 2023; Quadro P6000 employs Pascal from 2016. The generational leap provides GH200 with advanced features like FP8 support at 3958 TFLOPS.
Which is cheaper to rent, the GH200 or the Quadro P6000?▾
Cloud rental prices for both the GH200 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 GH200 have compared to the Quadro P6000?▾
The GH200 has 96 GB of HBM3 memory. The Quadro P6000 has 24 GB of GDDR5X memory.
Can I find GH200 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 GH200 and the Quadro P6000?▾
The GH200 uses the Hopper architecture (2023) while the Quadro P6000 uses Pascal (2016). The GH200 delivers 157.1x the FP16 throughput and 9.3x the memory bandwidth of the Quadro P6000.