Specifications Compared
| Spec | A100 | RTX-4080 |
|---|---|---|
| TDP | 400W | 320W |
| VRAM | 40-80 GB | 16 GB |
| CUDA Cores | 6,912 | 9,728 |
| Memory Type | HBM2e | GDDR6X |
| Architecture | Ampere | Ada Lovelace |
| Form Factors | SXM4, PCIe | PCIe |
| Interconnect | NVLink, PCIe 4.0, InfiniBand | |
| Tensor Cores | 432 | 304 |
| FP16 Performance | 312 TFLOPS | 48.7 TFLOPS |
| FP32 Performance | 19.5 TFLOPS | 48.7 TFLOPS |
| FP64 Performance | 9.7 TFLOPS | |
| INT8 Performance | 624 TOPS | 780 TOPS |
| Memory Bandwidth | 2,039 GB/s | 717 GB/s |
Performance Analysis
FP16 performance defines training efficiency: the A100 delivers 312 TFLOPS, enabling faster mixed-precision model training compared to the RTX 4080's 48.7 TFLOPS. The A100's FP32 rate of 19.5 TFLOPS lags behind the RTX 4080's 48.7 TFLOPS, making the latter preferable for FP32-dominant inference or simulation tasks.
Memory bandwidth impacts batch sizes directly: 2039 GB/s on the A100 supports larger batches and reduces data transfer bottlenecks in deep learning pipelines, while 717 GB/s on the RTX 4080 limits scalability for memory-intensive operations. The A100's 80 GB VRAM handles massive models without fragmentation, unlike the RTX 4080's 16 GB.
Power consumption differs at 400W TDP for the A100 versus 320W for the RTX 4080, influencing cloud instance density and costs for prolonged runs.
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 646GB Storage | Czechia | $1.07/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 4080
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA GeForce RTX 4080 SUPER 16GB VRAM | 16GB | 6 vCPU 35GB RAM | 🌍global | $0.50/GPU/hr | |||
RunPod | NVIDIA GeForce RTX 4080 16GB VRAM | 16GB | 6 vCPU 35GB RAM | 🌍global | $0.50/GPU/hr |
When to Choose the A100 SXM4 80GB
Select the A100 SXM4 80GB for large-scale AI training and HPC workloads needing 80 GB VRAM. Its 312 TFLOPS FP16 and 2039 GB/s bandwidth excel in multi-GPU setups via NVLink or InfiniBand, supporting models exceeding 16 GB.
Enterprise environments benefit from its PCIe 4.0 compatibility and SXM4 form factor for dense server deployments.
When to Choose the RTX 4080
Opt for the RTX 4080 in budget-conscious scenarios with models fitting 16 GB VRAM. Its balanced 48.7 TFLOPS FP16 and FP32 performance suits inference, fine-tuning, or graphics tasks at lower average pricing of $0.26 per hour.
Lower 320W TDP enables higher density in consumer-grade cloud instances with PCIe form factor.
Use Cases
The A100's 80 GB VRAM and 312 TFLOPS FP16 handle large language models without splitting across GPUs. Its 2039 GB/s bandwidth supports efficient large-batch training.
The RTX 4080's 48.7 TFLOPS FP32 and lower $0.11 per hour starting price fit batched inference on models under 16 GB. Balanced performance reduces costs for high-throughput serving.
A100's superior 2039 GB/s bandwidth and 80 GB VRAM enable fine-tuning of massive models with large batches. NVLink interconnects accelerate multi-GPU fine-tuning.
RTX 4080's Ada Lovelace architecture and 48.7 TFLOPS FP16 optimize image generation tasks within 16 GB VRAM. Lower 320W TDP and $0.26 per hour average suit creative workflows.
A100's 312 TFLOPS FP16 and InfiniBand support scale HPC simulations requiring high memory bandwidth of 2039 GB/s. 80 GB VRAM manages complex datasets.
Frequently Asked Questions
Which GPU has more VRAM, A100 or RTX 4080?▾
The A100 SXM4 80GB provides 80 GB HBM2e VRAM, far exceeding the RTX 4080's 16 GB GDDR6X. This difference allows the A100 to load larger models directly. Applications like LLM training benefit most from the extra capacity.
How do cloud prices compare for A100 and RTX 4080?▾
A100 SXM4 80GB pricing starts at $0.13 per hour with an average of $1.30 per hour across 28 offers. RTX 4080 begins at $0.11 per hour averaging $0.26 per hour over 5 offers. Cost savings favor RTX 4080 for lighter workloads.
What is the FP16 performance difference?▾
A100 achieves 312 TFLOPS FP16, over six times the RTX 4080's 48.7 TFLOPS. This gap accelerates deep learning training on A100. Inference sees less disparity due to RTX 4080's balanced specs.
Which has higher memory bandwidth?▾
A100 offers 2039 GB/s bandwidth versus RTX 4080's 717 GB/s. Higher bandwidth on A100 supports bigger batch sizes in training. Data-heavy tasks run more efficiently as a result.
Is RTX 4080 newer than A100?▾
RTX 4080 uses 2022 Ada Lovelace architecture, newer than A100's 2020 Ampere. Despite recency, A100 leads in VRAM at 80 GB and FP16 at 312 TFLOPS. Newer architecture aids RTX 4080 in FP32 tasks at 48.7 TFLOPS.
Compare TDP for A100 and RTX 4080?▾
A100 consumes 400W TDP, higher than RTX 4080's 320W. Lower TDP on RTX 4080 improves power efficiency in dense cloud setups. This affects hourly operational costs indirectly.
Which is cheaper to rent, the A100 or the RTX 4080?▾
Cloud rental prices for both the A100 and RTX 4080 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 4080?▾
The A100 has 40 to 80 GB of HBM2e memory. The RTX 4080 has 16 GB of GDDR6X memory.
Can I find A100 and RTX 4080 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 4080?▾
The A100 uses the Ampere architecture (2020) while the RTX 4080 uses Ada Lovelace (2022). The A100 delivers 6.4x the FP16 throughput and 2.8x the memory bandwidth of the RTX 4080.