Specifications Compared
| Spec | GH200 | Quadro P6000 |
|---|---|---|
| TDP | 900W | 250W |
| VRAM | 96 GB | 24 GB |
| CUDA Cores | 16,896 | 3,840 |
| FP8 (dense) | 1,979 TFLOPS | Not published |
| Memory Type | HBM3 | GDDR5X |
| Architecture | Hopper | Pascal |
| FP16 (dense) | 989 TFLOPS | Not published |
| Form Factors | SXM | PCIe |
| INT8 (dense) | 1,979 TOPS | Not published |
| Interconnect | NVLink-C2C, PCIe 5.0 | PCIe 3.0 |
| Tensor Cores | 528 | Not published |
| FP32 Performance | 67 TFLOPS | 12.6 TFLOPS |
| FP64 Performance | 34 TFLOPS | Not published |
| Memory Bandwidth | 4,000 GB/s | 432 GB/s |
| FP8 (with sparsity) | 3,958 TFLOPS | Not published |
| FP16 (with sparsity) | 1,979 TFLOPS | Not published |
| INT8 (with sparsity) | 3,958 TOPS | Not published |
Performance Analysis
The GH200 delivers 989 TFLOPS dense FP16 compared with the Quadro P6000 where FP16 remains not published by vendor. This dense FP16 advantage on the GH200 supports larger scale training and inference operations while its 67 TFLOPS FP32 exceeds the Quadro P6000 12.6 TFLOPS FP32 by a factor derived directly from those two numbers. Memory bandwidth of 4000 GB/s on the GH200 versus 432 GB/s on the Quadro P6000 permits substantially increased batch sizes during model execution because data movement rates differ by the ratio of those bandwidth figures.
Current On-Demand Offers
Cheapest secure on-demand offer per provider that is reported in stock right now, per GPU per hour; multi-GPU instances show the whole-instance price alongside. Deploy opens the DeployGPU console for providers on the platform, otherwise the provider's own site. Stock is rechecked every minute.
GH200
GH200 is not offered on-demand by any provider we track right now. See the GH200 rental page for last-seen listed prices and a price alert.
Quadro P6000
| Provider | Region | GPUs | Per GPU / hr | Instance / hr | Deploy |
|---|---|---|---|---|---|
| Paperspace | ams1 | 1 | $1.10 | — | Deploy |
1 provider in stock, 6 offers (cheapest per provider shown). All Quadro P6000 offers, price history and alerts
Notify me when GH200 drops below a price
One email when the cheapest in-stock on-demand price per GPU-hour falls below your threshold.
QuantaCloud
Comparing H-series providers? We broker across all of them.
Hopper stock changes by the hour and prices differ by provider. If you need 16+ GPUs reserved or a cluster in the next 90 days, we quote H-series or B300 inventory at partner rates: one quote, 24h turnaround.
When to Choose the GH200
The GH200 suits workloads that require 989 TFLOPS dense FP16 or 1979 TFLOPS dense FP8 because those figures enable accelerated large model operations. Its 96 GB memory capacity further supports scenarios where extensive data residency exceeds the 24 GB limit of older cards.
When to Choose the Quadro P6000
The Quadro P6000 fits environments constrained to 250W TDP and PCIe form factor deployments where 12.6 TFLOPS FP32 meets modest legacy application demands without exceeding power budgets established for Pascal era systems.
Use Cases
The GH200 provides 989 TFLOPS dense FP16 and 96 GB memory that directly exceed Quadro P6000 capabilities where FP16 remains not published by vendor.
The GH200 supplies 1979 TFLOPS dense FP8 along with 4000 GB/s bandwidth that enable higher throughput than the Quadro P6000 432 GB/s bandwidth.
The GH200 989 TFLOPS dense FP16 and 96 GB HBM3 memory accommodate parameter updates at scales beyond the Quadro P6000 24 GB GDDR5X capacity.
The GH200 1979 TFLOPS dense FP8 supports image generation workloads with memory bandwidth nine times that of the Quadro P6000 432 GB/s.
The GH200 67 TFLOPS FP32 surpasses the Quadro P6000 12.6 TFLOPS FP32 while its interconnect options exceed PCIe 3.0.
Frequently Asked Questions
What memory configurations distinguish the GH200 from the Quadro P6000?▾
The GH200 contains 96 GB HBM3 memory while the Quadro P6000 contains 24 GB GDDR5X memory.
How do the FP32 ratings compare between these GPUs?▾
The GH200 achieves 67 TFLOPS FP32 whereas the Quadro P6000 achieves 12.6 TFLOPS FP32.
What power limits apply to each card?▾
The GH200 operates at a 900W TDP while the Quadro P6000 operates at a 250W TDP.
Which interconnect standards appear on the GH200 and Quadro P6000?▾
The GH200 supports NVLink C2C and PCIe 5.0 while the Quadro P6000 supports PCIe 3.0.
What architecture generations separate the two GPUs?▾
The GH200 uses Hopper architecture released in 2023 while the Quadro P6000 uses Pascal architecture released in 2016.
How does memory bandwidth differ between the models?▾
The GH200 reaches 4000 GB/s bandwidth while the Quadro P6000 reaches 432 GB/s bandwidth.
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 has 96 GB of HBM3 at 4,000 GB/s; the Quadro P6000 has 24 GB of GDDR5X at 432 GB/s, so the GH200 has 9.3x the memory bandwidth of the Quadro P6000.
Rent these GPUs
Each GPU page lists every current on-demand offer by provider, per GPU-hour, updated every minute.
Related comparisons
How this page is made
- Specifications come from the NVIDIA, AMD and Intel datasheets for the GH200 and the Quadro P6000. Dense and sparse throughput are listed separately.
- Prices and availability are live: every offer shown is an in-stock, on-demand listing from a provider we track, rechecked every minute.
- The written comparison (overview, performance notes, when to choose each card, verdict, use cases and FAQ) was drafted with an AI model from the specification table above and passed an automated check that rejects any figure not in that table. It was last generated on . It contains no prices; those are always read live.
- Read how we collect the data, or report an error on this page.
Next steps
- Rent GH200 Grace HopperEvery current offer by provider, daily price history and a price alert.
- Rent QUADRO P6000Every current offer by provider, daily price history and a price alert.
- GPU price indexHow on-demand prices for the major GPUs have moved, updated daily.
- All GPUsEvery GPU we track, with current lows and provider counts.