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
FP16 performance defines training advantages: A100 delivers 312 TFLOPS versus RTX A6000's 38.7 TFLOPS, accelerating deep learning where half-precision tensor cores dominate, such as in transformer models. Conversely, FP32 matches at 38.7 TFLOPS on RTX A6000 exceeds A100's 19.5 TFLOPS, benefiting simulations or rendering requiring full single-precision accuracy.
Memory specs impact real-world throughput: A100's 2039 GB/s bandwidth and 80 GB HBM2e capacity enable larger batch sizes in model training, minimizing data loading bottlenecks and supporting models up to 80 GB without multi-GPU splitting. RTX A6000's 768 GB/s and 48 GB GDDR6 suffice for moderate workloads but limit scalability in memory-intensive inference. Higher 400W TDP on A100 allows sustained peak performance in dense clusters, while 300W on RTX A6000 aids power-constrained setups.
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 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×) |
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 PCIe 80GB
Select the A100 PCIe 80GB for large-scale AI training and inference demanding high memory capacity. Its 80 GB HBM2e VRAM and 2039 GB/s bandwidth handle LLMs with billions of parameters, enabling batch sizes that RTX A6000's 48 GB GDDR6 cannot match without inefficiency.
When to Choose the RTX A6000
Opt for RTX A6000 in cost-sensitive professional workflows like visualization or moderate ML tasks. Lower pricing from $0.17/hr and balanced 38.7 TFLOPS FP32/FP16 performance suit rendering, Stable Diffusion, or inference on models under 48 GB, where A100's premium cost exceeds needs.
Use Cases
A100's 312 TFLOPS FP16 and 80 GB HBM2e VRAM support massive batch sizes for training large language models. RTX A6000's 38.7 TFLOPS and 48 GB limit efficiency on billion-parameter scales.
A100 handles high-throughput inference with 2039 GB/s bandwidth for large models. RTX A6000 works for smaller deployments but struggles with memory-intensive prompts.
A100's superior FP16 performance accelerates fine-tuning on datasets fitting 80 GB VRAM. Lower bandwidth on RTX A6000 slows iterations.
RTX A6000's 38.7 TFLOPS FP32 and 48 GB GDDR6 excel in image generation at lower $1.02/hr average cost. A100 overkill for typical diffusion model sizes.
RTX A6000's balanced FP32 suits simulations under 48 GB; A100 scales to 80 GB HBM2e for complex datasets. Choice depends on memory needs and budget.
Frequently Asked Questions
Which GPU has more VRAM: A100 PCIe 80GB or RTX A6000?▾
The A100 PCIe 80GB provides 80 GB HBM2e VRAM, exceeding RTX A6000's 48 GB GDDR6. This enables A100 to load larger models without partitioning. RTX A6000 suffices for most professional tasks under 48 GB.
How do FP16 performances compare between A100 and RTX A6000?▾
A100 achieves 312 TFLOPS FP16, far surpassing RTX A6000's 38.7 TFLOPS. This gap favors A100 in AI training. RTX A6000 matches in FP32 at 38.7 TFLOPS.
What are the cloud pricing differences for these GPUs?▾
A100 PCIe 80GB starts at $0.89/hr averaging $2.06/hr across 29 offers. RTX A6000 begins at $0.17/hr averaging $1.02/hr across 62 offers. Lower RTX pricing appeals to budget workloads.
Which has higher memory bandwidth?▾
A100 offers 2039 GB/s with HBM2e, triple RTX A6000's 768 GB/s GDDR6. Higher bandwidth on A100 boosts large-batch training. RTX A6000 handles standard throughput adequately.
What are the TDP ratings?▾
A100 consumes 400W TDP, higher than RTX A6000's 300W. This allows A100 sustained peaks in data centers. RTX A6000 fits power-limited workstations.
Is RTX A6000 good for AI training?▾
RTX A6000 manages moderate training with 38.7 TFLOPS FP16 and 48 GB VRAM. A100 outperforms at 312 TFLOPS and 80 GB for large-scale needs. Choose based on model size.
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.