Specifications Compared
| Spec | A100 | RTX PRO 6000 |
|---|---|---|
| TDP | 400W | 600W |
| VRAM | 40-80 GB | 96 GB |
| CUDA Cores | 6,912 | 24,064 |
| FP4 (dense) | Not published | 2,015.2 TFLOPS |
| FP8 (dense) | Not published | 1,007.6 TFLOPS |
| Memory Type | HBM2e | GDDR7 |
| Architecture | Ampere | Blackwell |
| FP16 (dense) | 312 TFLOPS | 503.8 TFLOPS |
| Form Factors | SXM4, PCIe | PCIe |
| INT8 (dense) | 624 TOPS | 1,007.6 TOPS |
| Interconnect | NVLink, PCIe 4.0, InfiniBand | PCIe 5.0 |
| Tensor Cores | 432 | 752 |
| FP32 Performance | 19.5 TFLOPS | 126 TFLOPS |
| FP64 Performance | 9.7 TFLOPS | Not published |
| Memory Bandwidth | 2,039 GB/s | 1,792 GB/s |
| FP4 (with sparsity) | Not published | 4,030.4 TFLOPS |
| FP8 (with sparsity) | Not published | 2,015.2 TFLOPS |
| FP16 (with sparsity) | 624 TFLOPS | 1,007.6 TFLOPS |
| INT8 (with sparsity) | 1,248 TOPS | 2,015.2 TOPS |
Performance Analysis
The FP16 dense figure of 503.8 TFLOPS on the RTX PRO 6000 exceeds the 312 TFLOPS dense figure on the A100 by a ratio of 1.6 to 1 and this difference supports larger batch sizes during inference workloads. Memory bandwidth of 2039 GB/s on the A100 versus 1792 GB/s on the RTX PRO 6000 affects data movement rates when models exceed on chip cache capacity. The FP16 with sparsity rating of 1007.6 TFLOPS on the RTX PRO 6000 exceeds the 624 TFLOPS with sparsity rating on the A100 while the FP32 rating of 126 TFLOPS on the RTX PRO 6000 exceeds the 19.5 TFLOPS rating on the A100.
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.
A100
| Provider | Region | GPUs | Per GPU / hr | Instance / hr | Deploy |
|---|---|---|---|---|---|
| LeaderGPU | The Netherlands | 8 | $0.68 | $5.42 | Deploy |
| Vast.ai | Czechia, CZ | 1 | $0.73 | — | Deploy |
| ThunderCompute | USA | 1 | $1.09 | — | Deploy |
| Hyperstack | CANADA-1 | 4 | $1.35 | $5.40 | Deploy |
| Massed Compute | us-central-3 | 8 | $1.38 | $11.04 | Deploy |
10 providers in stock, 32 offers (cheapest per provider shown). All A100 offers, price history and alerts
RTX PRO 6000
| Provider | Region | GPUs | Per GPU / hr | Instance / hr | Deploy |
|---|---|---|---|---|---|
| RunPod | global | 1 | $0.69 | — | Deploy |
| Vast.ai | Czechia, CZ | 2 | $2.10 | $4.21 | Deploy |
| Massed Compute | us-central-9 | 2 | $2.19 | $4.38 | Deploy |
| QuantaCloud | us-midwest-4 | 1 | $2.39 | — | Deploy |
| VERDA | FIN-HEL | 4 | $2.40 | $9.58 | Deploy |
6 providers in stock, 14 offers (cheapest per provider shown). All RTX PRO 6000 offers, price history and alerts
Notify me when A100 drops below a price
One email when the cheapest in-stock on-demand price per GPU-hour falls below your threshold. Cheapest right now: $0.68/GPU-hr.
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When to Choose the A100
Choose the A100 for multi-GPU training or tensor parallel serving, where NVLink between cards and InfiniBand between nodes matter more than per GPU compute; the RTX PRO 6000 has neither and talks over PCIe 5.0 only. The A100 also keeps a 2039 GB/s to 1792 GB/s bandwidth edge, so a model that fits in 80 GB decodes slightly faster on it, and its 9.7 TFLOPS FP64 covers HPC codes for which the RTX PRO 6000 publishes no figure. For a single GPU job that fits in 96 GB the RTX PRO 6000 is the better pick.
When to Choose the RTX PRO 6000
The RTX PRO 6000 suits workloads that require 96 GB GDDR7 memory and higher FP16 dense performance of 503.8 TFLOPS. Its FP32 performance of 126 TFLOPS enables faster execution in compute bound tasks compared to the 19.5 TFLOPS on the A100.
Use Cases
The RTX PRO 6000 provides FP16 dense performance of 503.8 TFLOPS which exceeds the 312 TFLOPS dense performance of the A100.
The RTX PRO 6000 provides FP16 dense performance of 503.8 TFLOPS and 96 GB memory which support larger batch sizes than the A100.
The RTX PRO 6000 provides FP16 with sparsity performance of 1007.6 TFLOPS which exceeds the 624 TFLOPS with sparsity performance of the A100.
The RTX PRO 6000 provides FP16 dense performance of 503.8 TFLOPS and 96 GB memory which exceed the corresponding figures on the A100.
The A100 provides 2039 GB/s memory bandwidth and NVLink interconnects which support data intensive scientific workloads.
Frequently Asked Questions
How does FP16 dense performance compare between the A100 and RTX PRO 6000?▾
The A100 delivers 312 TFLOPS FP16 dense while the RTX PRO 6000 delivers 503.8 TFLOPS FP16 dense.
What interconnect options exist on the A100 versus the RTX PRO 6000?▾
The A100 supports NVLink and PCIe 4.0 while the RTX PRO 6000 supports PCIe 5.0.
What is the TDP difference between the A100 and RTX PRO 6000?▾
The A100 has a 400W TDP while the RTX PRO 6000 has a 600W TDP.
How does FP32 performance compare between the A100 and RTX PRO 6000?▾
The A100 delivers 19.5 TFLOPS FP32 while the RTX PRO 6000 delivers 126 TFLOPS FP32.
What memory bandwidth do the A100 and RTX PRO 6000 provide?▾
The A100 provides 2039 GB/s bandwidth while the RTX PRO 6000 provides 1792 GB/s bandwidth.
Which is cheaper to rent, the A100 or the RTX PRO 6000?▾
Cloud rental prices for both the A100 and RTX PRO 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 A100 have compared to the RTX PRO 6000?▾
The A100 has 40 to 80 GB of HBM2e memory. The RTX PRO 6000 has 96 GB of GDDR7 memory.
Can I find A100 and RTX PRO 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 A100 and the RTX PRO 6000?▾
The A100 uses the Ampere architecture while the RTX PRO 6000 uses Blackwell. The RTX PRO 6000 delivers 1.6x the dense FP16 throughput (503.8 vs 312 TFLOPS, both without sparsity) and adds FP8 and FP4 tensor support, while the A100 keeps a 14% edge in memory bandwidth (2039 vs 1792 GB/s) and has NVLink for multi-GPU work.
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 A100 and the RTX PRO 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 A100Every current offer by provider, daily price history and a price alert.
- Rent RTX PRO 6000 BLACKWELLEvery 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.