Specifications Compared
| Spec | H100 | Quadro RTX 6000 |
|---|---|---|
| TDP | 700W | 260W |
| VRAM | 80-94 GB | 24 GB |
| CUDA Cores | 16,896 | 4,608 |
| FP8 (dense) | 1,979 TFLOPS | Not published |
| Memory Type | HBM3 | GDDR6 |
| Architecture | Hopper | Turing |
| FP16 (dense) | 989 TFLOPS | 130.5 TFLOPS |
| Form Factors | SXM5, PCIe, NVL | PCIe |
| INT8 (dense) | 1,979 TOPS | 261 TOPS |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | NVLink, PCIe 3.0 |
| Tensor Cores | 528 | 576 |
| FP32 Performance | 67 TFLOPS | 16.3 TFLOPS |
| FP64 Performance | 34 TFLOPS | Not published |
| Memory Bandwidth | 3,350 GB/s | 672 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
Dense FP16 performance on the H100 reaches 989 TFLOPS while the Quadro RTX 6000 achieves 130.5 TFLOPS in the same dense FP16 metric. This gap implies the H100 processes matrix operations in training and inference at roughly seven times the rate of the Quadro RTX 6000 under identical dense conditions. With sparsity the H100 attains 1979 TFLOPS in FP16 compared to the Quadro RTX 6000 dense figure alone. Memory bandwidth of 3350 GB/s on the H100 supports larger batch sizes than the 672 GB/s available on the Quadro RTX 6000. FP32 throughput at 67 TFLOPS on the H100 further widens the advantage for precision sensitive scientific tasks over the 16.3 TFLOPS delivered by the Quadro RTX 6000.
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 | 2 | $2.59 | $5.18 | Deploy |
| Massed Compute | us-central-3 | 1 | $2.73 | — | Deploy |
| Ori | dallas-2 | 8 | $2.90 | $23.20 | Deploy |
| Scaleway | Paris, France (PAR2) | 1 | $3.23 | — | Deploy |
8 providers in stock, 19 offers (cheapest per provider shown). All H100 offers, price history and alerts
Quadro RTX 6000
Quadro RTX 6000 is not offered on-demand by any provider we track right now. See the Quadro RTX 6000 rental page for last-seen listed prices and a price alert.
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 scenarios that require 80 to 94 GB VRAM and 3350 GB/s bandwidth. Its dense FP16 rating of 989 TFLOPS and FP8 dense rating of 1979 TFLOPS accelerate large model workloads beyond the limits of older hardware. Organizations select the H100 when TDP tolerance reaches 700W and NVLink interconnects are available.
When to Choose the Quadro RTX 6000
The Quadro RTX 6000 fits smaller scale fine tuning or Stable Diffusion tasks where 24 GB GDDR6 and 260W TDP suffice. Its INT8 dense performance of 261 TOPS handles moderate inference loads without exceeding PCIe form factor constraints. Users choose this GPU for environments that prioritize lower power draw over peak tensor throughput.
Use Cases
The H100 supplies 989 TFLOPS dense FP16 and 80 to 94 GB VRAM that exceed Quadro RTX 6000 limits for large models.
Dense FP8 performance of 1979 TFLOPS on the H100 enables faster token generation than the Quadro RTX 6000 can achieve.
Higher memory bandwidth of 3350 GB/s on the H100 accommodates larger batch sizes during adaptation of models.
The Quadro RTX 6000 at 260W TDP and 24 GB GDDR6 meets requirements for moderate image generation workloads.
FP32 throughput of 67 TFLOPS on the H100 surpasses the 16.3 TFLOPS of the Quadro RTX 6000 for precision calculations.
Frequently Asked Questions
How does memory bandwidth compare on these GPUs?▾
Bandwidth reaches 3350 GB/s on the H100 versus 672 GB/s on the Quadro RTX 6000. The higher figure supports increased data movement for tensor operations.
What are the dense FP16 ratings for each GPU?▾
Dense FP16 performance measures 989 TFLOPS on the H100 and 130.5 TFLOPS on the Quadro RTX 6000. These values determine throughput for half precision workloads.
Which GPU has higher TDP?▾
The H100 lists a TDP of 700W while the Quadro RTX 6000 lists 260W. Power requirements influence deployment choices in data centers.
Does the H100 support sparsity in FP16?▾
The H100 reaches 1979 TFLOPS FP16 with sparsity. The Quadro RTX 6000 does not publish a sparse FP16 figure.
What interconnect options appear on each card?▾
The H100 includes NVLink and PCIe 5.0 while the Quadro RTX 6000 includes NVLink and PCIe 3.0. These options affect multi GPU scaling speeds.
Which is cheaper to rent, the H100 or the Quadro RTX 6000?▾
Cloud rental prices for both the H100 and Quadro RTX 6000 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 RTX 6000?▾
The H100 has 80 to 94 GB of HBM3 memory. The Quadro RTX 6000 has 24 GB of GDDR6 memory.
Can I find H100 and Quadro RTX 6000 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 RTX 6000?▾
The H100 uses the Hopper architecture (2022) while the Quadro RTX 6000 uses Turing (2018). The H100 delivers 7.6x the dense FP16 throughput (989 vs 130.5 TFLOPS, both without sparsity) and 5.0x the memory bandwidth of the Quadro RTX 6000.
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 RTX 6000. 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 RTX 6000Every 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.