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
The A100 demonstrates superior FP16 performance at 312 TFLOPS compared to the RTX PRO 6000's 125 TFLOPS, enabling faster mixed-precision training for large language models where tensor cores dominate. Its FP32 rate of 19.5 TFLOPS lags behind the RTX PRO 6000's balanced 125 TFLOPS, which suits general-purpose computing or inference without heavy quantization. The RTX PRO 6000 introduces FP8 capability at 2000 TFLOPS, accelerating low-precision inference for deployed models and reducing memory demands. Higher memory bandwidth on the A100 reaches 2039 GB/s versus 1792 GB/s on the RTX PRO 6000, supporting larger batch sizes in training to improve utilization and throughput. The A100's 80 GB HBM2e contrasts with the RTX PRO 6000's 96 GB GDDR7, allowing the latter to handle bigger models in single-GPU inference scenarios despite the bandwidth trade-off.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A100 SXM4 80GB
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 256 vCPU 63GB RAM 397GB Storage | Slovenia | $0.73/GPU/hr | 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 | 2×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 64 vCPU 126GB RAM 1114GB Storage | Czechia | $1.00/GPU/hr $2.00/hr total (2×) | 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×) | |||
Denvr | 8×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 128 vCPU 1024GB RAM 15200GB Storage | Virginia | $1.15/GPU/hr $9.20/hr total (8×) |
When to Choose the A100 SXM4 80GB
The A100 SXM4 80GB excels in multi-GPU training environments leveraging its 312 TFLOPS FP16 and 2039 GB/s bandwidth for large batch sizes. It supports SXM4 form factor with InfiniBand and PCIe 4.0, ideal for scaled clusters where mature Ampere software stacks ensure stability. Availability across 21 cloud offers at average $1.47/hr provides reliability for production workloads demanding high FP16 throughput.
When to Choose the RTX PRO 6000 Blackwell
The RTX PRO 6000 Blackwell suits FP8-optimized inference with 2000 TFLOPS and 96 GB VRAM for handling massive models on single GPUs. Its PCIe form factor and lower starting price of $0.59/hr (average $1.25/hr) across 5 offers appeal to cost-sensitive professional setups. Balanced 125 TFLOPS FP32 performance benefits general visualization or simulation tasks on the newer Blackwell architecture.
Use Cases
The A100 delivers 312 TFLOPS FP16, far exceeding the RTX PRO 6000's 125 TFLOPS, for faster mixed-precision training. Higher 2039 GB/s bandwidth supports larger batches.
RTX PRO 6000 provides 2000 TFLOPS FP8 for quantized inference efficiency. Its 96 GB VRAM accommodates larger models than the A100's 80 GB.
Both GPUs offer strong FP16 options, with A100 at 312 TFLOPS for speed and RTX PRO 6000 at 125 TFLOPS with 96 GB VRAM for model size. Choice depends on scale and precision needs.
RTX PRO 6000's 96 GB GDDR7 VRAM and 125 TFLOPS FP32 handle high-resolution generation better. FP8 at 2000 TFLOPS accelerates inference pipelines.
A100's 2039 GB/s bandwidth and 312 TFLOPS FP16 optimize data-intensive simulations. NVLink and InfiniBand support multi-node scaling effectively.
Frequently Asked Questions
Which GPU has more VRAM?▾
The RTX PRO 6000 Blackwell offers 96 GB GDDR7 VRAM, surpassing the A100 SXM4 80GB's 80 GB HBM2e. This advantage aids single-GPU tasks with large models. Bandwidth remains higher on A100 at 2039 GB/s versus 1792 GB/s.
What is the cloud pricing comparison?▾
A100 SXM4 80GB starts from $0.79/hr with average $1.47/hr across 21 offers. RTX PRO 6000 Blackwell begins at $0.59/hr averaging $1.25/hr over 5 offers. The newer GPU provides better entry-level rates.
Which is better for AI training?▾
A100 leads with 312 TFLOPS FP16 versus RTX PRO 6000's 125 TFLOPS, ideal for training throughput. Its 2039 GB/s bandwidth enables larger batches. RTX PRO 6000 suits balanced FP32 at 125 TFLOPS.
Does the RTX PRO 6000 support FP8?▾
Yes, RTX PRO 6000 delivers 2000 TFLOPS FP8 for efficient inference. A100 lacks this precision, focusing on FP16 at 312 TFLOPS. FP8 reduces model size and speeds deployment.
What are the TDP and form factors?▾
Both GPUs consume 400W TDP. A100 supports SXM4 and PCIe with NVLink, PCIe 4.0, InfiniBand. RTX PRO 6000 uses PCIe with NVLink.
How do memory bandwidths compare?▾
A100 achieves 2039 GB/s with HBM2e, higher than RTX PRO 6000's 1792 GB/s GDDR7. This benefits data-heavy workloads on A100. RTX PRO 6000 compensates with more VRAM at 96 GB.
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.