Specifications Compared
| Spec | A100 | RTX-A6000 |
|---|---|---|
| TDP | 400W | 300W |
| VRAM | 40-80 GB | 48 GB |
| CUDA Cores | 6,912 | 10,752 |
| Memory Type | HBM2e | GDDR6 |
| Architecture | Ampere | Ampere |
| Form Factors | SXM4, PCIe | PCIe |
| Interconnect | NVLink, PCIe 4.0, InfiniBand | NVLink |
| Tensor Cores | 432 | 336 |
| FP16 Performance | 312 TFLOPS | 38.7 TFLOPS |
| FP32 Performance | 19.5 TFLOPS | 38.7 TFLOPS |
| FP64 Performance | 9.7 TFLOPS | 0.6 TFLOPS |
| INT8 Performance | 624 TOPS | |
| Memory Bandwidth | 2,039 GB/s | 768 GB/s |
Performance Analysis
Key specification disparities translate directly to real-world performance gaps in artificial intelligence tasks. The A100 SXM4 80GB achieves 312 TFLOPS in FP16 operations, enabling faster deep learning training where half-precision computations dominate, far exceeding the RTX A6000's 38.7 TFLOPS. Conversely, the RTX A6000 matches its FP16 with 38.7 TFLOPS in FP32, making it preferable for simulations or rendering that rely on single-precision arithmetic over the A100's 19.5 TFLOPS. Memory bandwidth plays a critical role in handling large datasets: the A100's 2039 GB/s supports substantially larger batch sizes in training and inference compared to 768 GB/s on the RTX A6000, reducing bottlenecks in memory-intensive workloads. The A100's 80 GB HBM2e VRAM accommodates massive models that exceed the RTX A6000's 48 GB GDDR6 capacity. Power consumption differs as well, with the A100 at 400W TDP versus 300W, influencing deployment in dense clusters.
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 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 | 8×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 128 vCPU 1024GB RAM 15200GB Storage | Virginia | $1.15/GPU/hr $9.20/hr total (8×) |
RTX A6000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA RTX A6000 48GB VRAM | 48GB | 0 vCPU 0GB RAM | Chubbuck, Idaho | $0.40/GPU/hr | Available | ||
 RunPod | NVIDIA RTX A6000 48GB VRAM | 48GB | 9 vCPU 50GB RAM | 🌍global | $0.49/GPU/hr | |||
 Hyperstack | NVIDIA RTX A6000 48GB VRAM | 48GB | 28 vCPU 58GB RAM 100GB Storage | Canada | $0.50/GPU/hr | Available | ||
Hyperstack | 2×NVIDIA RTX A6000 48GB VRAM | 48GB | 60 vCPU 116GB RAM 300GB Storage | Canada | $0.50/GPU/hr $1.00/hr total (2×) | Available | ||
 Massed Compute | NVIDIA RTX A6000 48GB VRAM | 48GB | 6 vCPU 32GB RAM 256GB Storage | Iowa | $0.55/GPU/hr | Available |
When to Choose the A100 SXM4 80GB
The A100 SXM4 80GB excels in large-scale artificial intelligence training and high-performance computing scenarios. Its 312 TFLOPS FP16 performance and 2039 GB/s bandwidth enable efficient processing of expansive neural networks and high batch sizes. Users benefit from 80 GB HBM2e VRAM for models that surpass 48 GB limits, alongside NVLink and InfiniBand interconnects for multi-GPU scaling in data centers.
When to Choose the RTX A6000
The RTX A6000 suits cost-sensitive professional visualization, rendering, and moderate artificial intelligence inference tasks. Starting at $0.17 per hour, it offers better value than the A100's $0.45 per hour minimum, with 38.7 TFLOPS FP32 matching its FP16 for balanced workloads. Its PCIe form factor and 300W TDP fit workstations without data center infrastructure needs.
Use Cases
The A100's 312 TFLOPS FP16 performance and 80 GB HBM2e VRAM handle massive language models with large batch sizes enabled by 2039 GB/s bandwidth. The RTX A6000's 38.7 TFLOPS and 48 GB limit scalability.
High-throughput inference benefits from the A100's superior FP16 at 312 TFLOPS and bandwidth of 2039 GB/s for concurrent requests. The RTX A6000 suffices for smaller deployments but lags in peak performance.
Fine-tuning large models requires the A100's 80 GB VRAM and 312 TFLOPS FP16 to manage datasets without swapping. The RTX A6000's 48 GB GDDR6 restricts model sizes.
Stable Diffusion generation leverages the RTX A6000's 38.7 TFLOPS FP32 and lower $0.17 per hour cost for iterative rendering. Its PCIe form suits single-user creative workflows.
HPC simulations demand the A100's NVLink, InfiniBand support, and 2039 GB/s bandwidth for multi-node scaling. The RTX A6000 lacks comparable interconnects.
Frequently Asked Questions
What is the VRAM difference between A100 SXM4 80GB and RTX A6000?▾
The A100 SXM4 80GB offers 80 GB HBM2e VRAM, exceeding the RTX A6000's 48 GB GDDR6. This allows the A100 to load larger models without offloading. HBM2e also provides higher efficiency in data center tasks.
Which GPU has higher FP16 performance?▾
The A100 SXM4 80GB delivers 312 TFLOPS FP16, vastly outperforming the RTX A6000's 38.7 TFLOPS. This gap accelerates deep learning training. FP32 on the RTX A6000 reaches 38.7 TFLOPS versus 19.5 TFLOPS on the A100.
How do cloud prices compare?▾
RTX A6000 pricing starts at $0.17 per hour with an average of $1.02 per hour across 62 offers. The A100 SXM4 80GB begins at $0.45 per hour averaging $1.39 per hour over 25 offers. More offers exist for the RTX A6000.
What are the TDP ratings?▾
The A100 SXM4 80GB has a 400W TDP, higher than the RTX A6000's 300W. This reflects the A100's data center optimization. Lower TDP aids RTX A6000 in power-constrained workstations.
Which supports better interconnects?▾
The A100 SXM4 80GB includes NVLink, PCIe 4.0, and InfiniBand for high-speed multi-GPU communication. The RTX A6000 supports NVLink but lacks InfiniBand. This makes A100 ideal for clusters.
What form factors are available?▾
A100 SXM4 80GB uses SXM4 or PCIe formats for servers. RTX A6000 employs PCIe exclusively for workstations. SXM4 enables denser data center packing.
Which is cheaper to rent, the A100 or the RTX A6000?▾
Cloud rental prices for both the A100 and RTX A6000 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 A6000?▾
The A100 has 40 to 80 GB of HBM2e memory. The RTX A6000 has 48 GB of GDDR6 memory.
Can I find A100 and RTX A6000 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 A6000?▾
The A100 uses the Ampere architecture (2020) while the RTX A6000 uses Ampere (2020). The A100 delivers 8.1x the FP16 throughput and 2.7x the memory bandwidth of the RTX A6000.