Specifications Compared
| Spec | H100 | Quadro P6000 |
|---|---|---|
| TDP | 700W | 250W |
| VRAM | 80-94 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 | SXM5, PCIe, NVL | PCIe |
| INT8 (dense) | 1,979 TOPS | Not published |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | PCIe 3.0 |
| Tensor Cores | 528 | Not published |
| FP32 Performance | 67 TFLOPS | 12.6 TFLOPS |
| FP64 Performance | 34 TFLOPS | Not published |
| Memory Bandwidth | 3,350 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 H100 delivers FP16 dense performance of 989 TFLOPS and FP16 performance with sparsity of 1979 TFLOPS while the Quadro P6000 lists no published FP16 figure. This gap means the H100 processes matrix operations in training and inference at rates far exceeding the older card when both operate in dense mode. Memory bandwidth of 3350 GB/s on the H100 versus 432 GB/s on the Quadro P6000 permits substantially larger batch sizes before data movement becomes the limiter. FP32 throughput of 67 TFLOPS on the H100 compared with 12.6 TFLOPS on the Quadro P6000 further widens the advantage for precision-sensitive scientific kernels.
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.
H100
| Provider | Region | GPUs | Per GPU / hr | Instance / hr | Deploy |
|---|---|---|---|---|---|
| Hyperstack | CANADA-1 | 1 | $2.50 | — | Deploy |
| QuantaCloud | us-midwest-2 | 1 | $2.59 | — | Deploy |
| Massed Compute | us-central-3 | 2 | $2.73 | $5.46 | Deploy |
| RunPod | global | 1 | $2.89 | — | Deploy |
| Ori | dallas-2 | 2 | $2.90 | $5.80 | Deploy |
8 providers in stock, 22 offers (cheapest per provider shown). All H100 offers, price history and alerts
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 H100 drops below a price
One email when the cheapest in-stock on-demand price per GPU-hour falls below your threshold. Cheapest right now: $2.50/GPU-hr.
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 H100
The H100 suits LLM training and inference tasks that require FP16 dense throughput of 989 TFLOPS and memory capacity reaching 94 GB. Its 3350 GB/s bandwidth supports larger models without frequent host transfers while the 700 W TDP remains acceptable in modern data center deployments.
When to Choose the Quadro P6000
The Quadro P6000 fits workloads constrained to 250 W TDP and PCIe 3.0 interconnects where FP32 performance of 12.6 TFLOPS suffices. Legacy software stacks certified only for Pascal architecture also favor continued use of the 24 GB GDDR5X card.
Use Cases
The H100 supplies FP16 dense performance of 989 TFLOPS and up to 94 GB memory for large model training.
FP8 dense performance of 1979 TFLOPS on the H100 accelerates inference throughput beyond the Quadro P6000 capabilities.
Higher memory bandwidth of 3350 GB/s on the H100 accommodates fine-tuning batch sizes unavailable on the 432 GB/s Quadro P6000.
The H100 FP16 dense rating of 989 TFLOPS supports faster image generation iterations than the Quadro P6000 FP32 rating of 12.6 TFLOPS.
FP32 performance of 67 TFLOPS on the H100 provides measurable gains over the 12.6 TFLOPS delivered by the Quadro P6000.
Frequently Asked Questions
What is the memory bandwidth difference between these GPUs?▾
The H100 reaches 3350 GB/s whereas the Quadro P6000 reaches 432 GB/s. Larger bandwidth numbers allow bigger batches during training without becoming memory bound.
Does the Quadro P6000 publish FP16 performance figures?▾
No FP16 rating appears for the Quadro P6000. The H100 lists FP16 dense performance of 989 TFLOPS and FP16 performance with sparsity of 1979 TFLOPS.
What TDP values distinguish the two cards?▾
The H100 carries a 700 W TDP while the Quadro P6000 carries a 250 W TDP. Power budgets therefore favor the Quadro P6000 in edge or older server environments.
Which interconnect standards appear on each GPU?▾
The H100 supports NVLink, PCIe 5.0, and InfiniBand while the Quadro P6000 uses PCIe 3.0. Multi-GPU scaling therefore differs markedly between the two.
Which is cheaper to rent, the H100 or the Quadro P6000?▾
Cloud rental prices for both the H100 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 H100 have compared to the Quadro P6000?▾
The H100 has 80 to 94 GB of HBM3 memory. The Quadro P6000 has 24 GB of GDDR5X memory.
Can I find H100 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 H100 and the Quadro P6000?▾
The H100 uses the Hopper architecture (2022) while the Quadro P6000 uses Pascal (2016). The H100 has 80-94 GB of HBM3 at 3,350 GB/s; the Quadro P6000 has 24 GB of GDDR5X at 432 GB/s, so the H100 has 7.8x 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 H100 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 H100Every 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.