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
The A100 SXM4 40GB dominates in FP16 workloads at 312 TFLOPS, enabling faster mixed-precision training for deep learning models compared to the RTX A6000's 38.7 TFLOPS. This gap accelerates neural network training by handling tensor operations efficiently, often reducing epochs by factors tied to the 8x throughput difference. FP32 performance reverses: both deliver 38.7 TFLOPS on RTX A6000 while A100 offers 19.5 TFLOPS, suiting RTX A6000 for simulation tasks needing single-precision compute. Memory bandwidth of 2039 GB/s on A100 supports larger batch sizes in memory-bound inference, minimizing data transfer bottlenecks versus 768 GB/s on RTX A6000. HBM2e on A100 provides lower latency than GDDR6, benefiting large language models during forward passes. Overall, A100 scales better for multi-GPU clusters via PCIe 4.0 and InfiniBand, while RTX A6000 suffices for PCIe single-node setups.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A100 SXM4 40GB
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 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 | 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×) |
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 40GB
Choose the A100 SXM4 40GB for large-scale AI training and inference where FP16 performance of 312 TFLOPS accelerates throughput. Its 2039 GB/s bandwidth handles massive datasets and batch sizes exceeding RTX A6000 limits, ideal for datacenter deployments with NVLink and InfiniBand scaling. High TDP of 400W justifies use in power-rich cloud instances focused on HPC or transformer models.
When to Choose the RTX A6000
Opt for the RTX A6000 in cost-sensitive single-GPU workflows like rendering or balanced FP32/FP16 tasks at 38.7 TFLOPS each. Its 48 GB GDDR6 VRAM edges out A100's 40 GB for memory-intensive visualization, and 300W TDP fits edge or workstation clouds. Lower pricing from $0.25 per hour across 59 offers maximizes value for non-scaled compute.
Use Cases
A100 SXM4 40GB's 312 TFLOPS FP16 vastly outperforms RTX A6000's 38.7 TFLOPS, speeding mixed-precision training for billion-parameter models. Higher 2039 GB/s bandwidth supports massive batches.
A100 handles large models with 2039 GB/s bandwidth for efficient batch processing versus RTX A6000's 768 GB/s. FP16 advantage at 312 TFLOPS boosts throughput in serving clusters.
A100's superior FP16 of 312 TFLOPS accelerates gradient computations during fine-tuning. Bandwidth enables larger context windows than RTX A6000 provides.
RTX A6000's 48 GB VRAM exceeds A100's 40 GB for high-resolution image generation. Balanced 38.7 TFLOPS FP32/FP16 and lower $1.05 per hour cost fit creative workflows.
A100's 312 TFLOPS FP16 and NVLink scaling excel in simulations and HPC codes. 2039 GB/s bandwidth outperforms RTX A6000 in data-parallel tasks.
Frequently Asked Questions
Which GPU has more VRAM: A100 SXM4 40GB or RTX A6000?▾
The RTX A6000 provides 48 GB GDDR6 VRAM, slightly more than the A100 SXM4 40GB's 40 GB HBM2e. This benefits memory-heavy rendering on RTX A6000, while A100 prioritizes speed.
How do A100 and RTX A6000 compare in cloud pricing?▾
RTX A6000 starts at $0.25 per hour average $1.05 across 59 offers, far cheaper than A100 SXM4 40GB at $1.00 per hour average $2.63 across 5 offers. RTX A6000 offers better value for light workloads.
What is the FP16 performance difference between A100 and RTX A6000?▾
A100 SXM4 40GB delivers 312 TFLOPS FP16, over 8 times the RTX A6000's 38.7 TFLOPS. This makes A100 ideal for AI training acceleration.
Which has higher memory bandwidth?▾
A100 SXM4 40GB achieves 2039 GB/s with HBM2e, more than 2.5 times RTX A6000's 768 GB/s GDDR6. A100 supports larger batches in ML inference.
Can RTX A6000 replace A100 in multi-GPU setups?▾
RTX A6000 supports NVLink but lacks InfiniBand and PCIe 4.0 depth of A100. A100 scales better for clusters due to 400W TDP and datacenter form factors.
What are the TDP ratings for these GPUs?▾
A100 SXM4 40GB requires 400W, higher than RTX A6000's 300W. RTX A6000 suits power-constrained clouds, while A100 maximizes performance.
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.