Specifications Compared
| Spec | A100 | RTX-3080 |
|---|---|---|
| TDP | 400W | 320W |
| VRAM | 40-80 GB | 10-12 GB |
| CUDA Cores | 6,912 | 8,704 |
| Memory Type | HBM2e | GDDR6X |
| Architecture | Ampere | Ampere |
| Form Factors | SXM4, PCIe | PCIe |
| Interconnect | NVLink, PCIe 4.0, InfiniBand | |
| Tensor Cores | 432 | 272 |
| FP16 Performance | 312 TFLOPS | 29.8 TFLOPS |
| FP32 Performance | 19.5 TFLOPS | 29.8 TFLOPS |
| FP64 Performance | 9.7 TFLOPS | |
| INT8 Performance | 624 TOPS | |
| Memory Bandwidth | 2,039 GB/s | 760 GB/s |
Performance Analysis
FP16 performance defines training efficiency: the A100's 312 TFLOPS vastly outpaces the RTX 3080 Ti's 29.8 TFLOPS, accelerating mixed-precision model training by over 10 times in deep learning frameworks. FP32 throughput shows the RTX 3080 Ti at 29.8 TFLOPS exceeding the A100's 19.5 TFLOPS, benefiting single-precision scientific simulations or graphics rendering where tensor cores contribute less. Memory bandwidth impacts batch sizes directly: 2039 GB/s on A100 supports larger batches in transformer models, reducing overhead and improving utilization, while 760 GB/s on RTX 3080 Ti limits scaling for memory-intensive inference. The A100's 40 GB HBM2e VRAM handles models exceeding 10 GB without swapping, unlike the RTX 3080 Ti's 12 GB GDDR6X. Power draw differs at 400W for A100 versus 320W for RTX 3080 Ti, influencing density in cloud deployments. Overall, A100 excels in throughput-heavy AI pipelines; RTX 3080 Ti suits latency-sensitive or budget-constrained scenarios.
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 | 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 40GB
Choose the A100 SXM4 40GB for large-scale LLM training or inference where 40 GB HBM2e VRAM and 2039 GB/s bandwidth enable batch sizes impossible on 12 GB GDDR6X. Its 312 TFLOPS FP16 performance thrives in multi-GPU clusters via NVLink and InfiniBand, ideal for enterprise research or production serving. Cloud pricing at $1.00 to $2.63 per hour justifies investment for workloads demanding high throughput.
When to Choose the RTX 3080 Ti
Opt for the RTX 3080 Ti in cost-sensitive prototyping, fine-tuning small models, or gaming-integrated tasks, leveraging $0.08 per hour starting price. Its 29.8 TFLOPS FP32 matches or exceeds A100's 19.5 TFLOPS for non-tensor workloads, with 320W TDP suiting single-node setups. The 12 GB VRAM suffices for Stable Diffusion or inference on models under 10 GB.
Use Cases
A100's 40 GB VRAM and 312 TFLOPS FP16 support large batch sizes for billion-parameter models. RTX 3080 Ti's 12 GB limits scaling.
2039 GB/s bandwidth on A100 handles high-concurrency requests efficiently. RTX 3080 Ti struggles with memory-bound serving.
RTX 3080 Ti's 29.8 TFLOPS FP32 and low $0.14 per hour cost work for small datasets. A100 accelerates with 40 GB VRAM for larger ones.
RTX 3080 Ti's 12 GB GDDR6X and 760 GB/s suffice for image generation at $0.08 per hour. A100 overkill for consumer pipelines.
RTX 3080 Ti's 29.8 TFLOPS FP32 outperforms A100's 19.5 TFLOPS for simulations. Lower 320W TDP fits diverse setups.
Frequently Asked Questions
Which GPU has more VRAM?▾
The A100 SXM4 40GB offers 40 GB HBM2e VRAM. The RTX 3080 Ti provides 12 GB GDDR6X, limiting large model handling.
What is the FP16 performance difference?▾
A100 delivers 312 TFLOPS FP16, over 10 times the RTX 3080 Ti's 29.8 TFLOPS. This boosts AI training speed significantly.
How do cloud prices compare?▾
A100 SXM4 40GB starts at $1.00 per hour, averaging $2.63 across five offers. RTX 3080 Ti begins at $0.08 per hour, averaging $0.14 across four.
Which has higher memory bandwidth?▾
A100 achieves 2039 GB/s with HBM2e. RTX 3080 Ti reaches 760 GB/s on GDDR6X, affecting batch processing.
What are the TDP ratings?▾
A100 consumes 400W. RTX 3080 Ti uses 320W, better for power-limited environments.
Can RTX 3080 Ti replace A100 for ML?▾
RTX 3080 Ti works for small models with 12 GB VRAM but cannot match A100's 40 GB or 312 TFLOPS FP16 for production-scale tasks.
Which is cheaper to rent, the A100 or the RTX 3080?▾
Cloud rental prices for both the A100 and RTX 3080 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 3080?▾
The A100 has 40 to 80 GB of HBM2e memory. The RTX 3080 has 10 to 12 GB of GDDR6X memory.
Can I find A100 and RTX 3080 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 3080?▾
The A100 uses the Ampere architecture (2020) while the RTX 3080 uses Ampere (2020). The A100 delivers 10.5x the FP16 throughput and 2.7x the memory bandwidth of the RTX 3080.