Specifications Compared
| Spec | A100 | RTX-PRO-6000-BLACKWELL |
|---|---|---|
| TDP | 400W | 400W |
| VRAM | 40-80 GB | 96 GB |
| CUDA Cores | 6,912 | 21,760 |
| Memory Type | HBM2e | GDDR7 |
| Architecture | Ampere | Blackwell |
| Form Factors | SXM4, PCIe | PCIe |
| Interconnect | NVLink, PCIe 4.0, InfiniBand | NVLink |
| Tensor Cores | 432 | 680 |
| FP16 Performance | 312 TFLOPS | 125 TFLOPS |
| FP32 Performance | 19.5 TFLOPS | 125 TFLOPS |
| FP64 Performance | 9.7 TFLOPS | |
| INT8 Performance | 624 TOPS | 2,000 TOPS |
| Memory Bandwidth | 2,039 GB/s | 1,792 GB/s |
Performance Analysis
Key spec differences translate directly to workload outcomes. The A100's 312 TFLOPS FP16 significantly outpaces the RTX PRO 6000's 125 TFLOPS, accelerating mixed-precision training for large language models where FP16 dominates. This performance edge enables shorter training cycles, often reducing time by factors tied to the 2.5x throughput gap. In contrast, the RTX PRO 6000's 125 TFLOPS FP32 matches its FP16, providing consistency for FP32-intensive inference or simulations, unlike the A100's imbalanced 19.5 TFLOPS FP32.
Memory configurations impact scalability. The A100's 2039 GB/s bandwidth supports larger batch sizes in memory-constrained training, minimizing data loading bottlenecks compared to 1792 GB/s on the RTX PRO 6000. However, the latter's 96 GB VRAM exceeds the A100's 80 GB, accommodating bigger models without multi-GPU setups. The RTX PRO 6000's FP8 at 2000 TFLOPS further optimizes low-precision inference, slashing latency for deployment scenarios.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A100 PCIe 80GB
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 256 vCPU 63GB RAM 2826GB Storage | Slovenia | $0.73/GPU/hr | Available | ||
Vast.ai | 2×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 256 vCPU 126GB RAM 794GB Storage | Slovenia | $0.73/GPU/hr $1.47/hr total (2×) | Available | ||
 LeaderGPU | 8×NVIDIA A100 PCIe 80GB 80GB VRAM | 80GB | 64 vCPU 384GB RAM 2000GB Storage | Netherlands | $0.90/GPU/hr $7.20/hr total (8×) | Available | ||
Vast.ai | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 64 vCPU 63GB RAM 557GB Storage | Czechia | $1.00/GPU/hr | Available | ||
 Denvr | 4×NVIDIA A100 PCIe 80GB 80GB VRAM | 80GB | 64 vCPU 512GB RAM 7600GB Storage | Virginia | $1.15/GPU/hr $4.60/hr total (4×) |
When to Choose the A100 PCIe 80GB
The A100 PCIe 80GB suits established AI training pipelines requiring peak FP16 throughput of 312 TFLOPS and 2039 GB/s bandwidth. Its widespread availability across 29 cloud offers at an average $2.05 per hour ensures reliability for large-scale deployments with NVLink and InfiniBand interconnects. Mature software ecosystems optimize for Ampere, minimizing setup friction in production environments.
When to Choose the RTX PRO 6000 Blackwell
The RTX PRO 6000 Blackwell excels in cost-sensitive inference with FP8 at 2000 TFLOPS and 96 GB VRAM for handling expansive models. At $0.59 per hour average $1.25 across offers, it delivers value for FP32-balanced tasks at 125 TFLOPS. Blackwell architecture supports emerging frameworks, ideal for forward-looking professional visualization and edge deployments.
Use Cases
The A100's 312 TFLOPS FP16 and 2039 GB/s bandwidth enable faster training iterations with larger batches. Higher maturity across 29 cloud offers supports reliable scaling.
RTX PRO 6000's 2000 TFLOPS FP8 and 96 GB VRAM optimize low-latency serving of large models. Balanced 125 TFLOPS FP16/FP32 reduces precision conversion overhead.
A100's superior 312 TFLOPS FP16 accelerates fine-tuning loops on 80 GB HBM2e. Extensive ecosystem availability ensures seamless integration.
RTX PRO 6000's Blackwell architecture and 96 GB GDDR7 handle high-resolution generation efficiently. Lower $0.59 per hour pricing fits iterative creative workflows.
A100's 2039 GB/s bandwidth aids memory-bound simulations, while RTX PRO 6000's 125 TFLOPS FP32 suits FP32-heavy physics. Choice depends on precision needs.
Frequently Asked Questions
What is the VRAM difference between A100 PCIe 80GB and RTX PRO 6000 Blackwell?▾
The A100 provides 80 GB HBM2e VRAM, while the RTX PRO 6000 offers 96 GB GDDR7. This extra 16 GB on the RTX PRO 6000 supports larger models in single-GPU inference. Bandwidth favors A100 at 2039 GB/s over 1792 GB/s.
How do cloud prices compare for these GPUs?▾
A100 PCIe 80GB starts at $0.89 per hour, averaging $2.05 across 29 offers. RTX PRO 6000 Blackwell begins at $0.59 per hour, averaging $1.25 across 5 offers. The newer GPU provides better value for budget-conscious users.
Which has better FP16 performance?▾
The A100 delivers 312 TFLOPS FP16, surpassing the RTX PRO 6000's 125 TFLOPS. This makes A100 preferable for FP16-heavy training tasks. RTX PRO 6000 compensates with FP8 at 2000 TFLOPS for inference.
Are both GPUs suitable for PCIe deployments?▾
Yes, A100 supports PCIe alongside SXM4, and RTX PRO 6000 uses PCIe exclusively. Both share 400W TDP for compatible cloud instances. Interconnects include NVLink on both.
What architectures do they use?▾
A100 runs on Ampere from 2020, while RTX PRO 6000 uses Blackwell from 2025. This generational gap affects software optimization and future-proofing. Performance balances differ: A100 FP32 at 19.5 TFLOPS, RTX PRO 6000 at 125 TFLOPS.
Which is better for inference?▾
RTX PRO 6000 excels with 2000 TFLOPS FP8 and 96 GB VRAM for efficient serving. A100's 312 TFLOPS FP16 suits training more than deployment. Pricing favors RTX PRO 6000 at average $1.25 per hour.
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 (2020) while the RTX PRO 6000 uses Blackwell (2025). The A100 delivers 2.5x the FP16 throughput and 1.1x the memory bandwidth of the RTX PRO 6000.