NVIDIA A100 80GB VS NVIDIA A800 80GB
Choosing between **A100 80GB** and **A800** depends on your specific AI workload requirements. Currently, you can rent these GPUs starting from **$0.40/h** and **$0.80/h** respectively across 44 providers.
A100 80GB
📊 Detailed Specifications Comparison
| Specification | A100 80GB | A800 | Difference |
|---|---|---|---|
| Architecture & Design | |||
| Architecture | Ampere | Ampere | - |
| Process Node | 7nm | 7nm | - |
| Target Market | datacenter | datacenter | - |
| Form Factor | SXM4 / PCIe | SXM4 / PCIe | - |
| Memory & Bandwidth | |||
| VRAM Capacity | 80GB | 80GB | |
| Memory Type | HBM2e | HBM2e | - |
| Memory Bandwidth | 2.0 TB/s | 2.0 TB/s | +5% |
| Memory Bus Width | 5120-bit | 5120-bit | - |
| Compute Infrastructure | |||
| CUDA Cores | 6,912 | 6,912 | |
| Tensor Cores (AI) | 432 | 432 | |
| AI & Compute Performance (TFLOPS) | |||
| FP32 (Single Precision) | 19.5 TFLOPS | 19.5 TFLOPS | |
| FP16 (Half Precision) | 312 TFLOPS | 312 TFLOPS | |
| TF32 (Tensor Float) | 156 TFLOPS | N/A | |
| FP64 (Double Precision) | 9.7 TFLOPS | N/A | |
| INT8 (Integer Precision) | 624 TOPS | N/A | |
| Power & Efficiency | |||
| TDP (Thermal Design Power) | 400W | 400W | |
| PCIe Interface | PCIe 4.0 x16 | PCIe 4.0 x16 | - |
| Multi-GPU Interconnect | NVLink 3.0 (600 GB/s) | None | - |
🎯 Use Case Recommendations
LLM & Large Model Training
NVIDIA A800 80GB
Higher VRAM capacity and memory bandwidth are critical for training large language models. The A800 offers 80GB compared to 80GB.
AI Inference
NVIDIA A800 80GB
For inference workloads, performance per watt matters most. Consider the balance between FP16/INT8 throughput and power consumption.
Budget-Conscious Choice
NVIDIA A100 80GB
Based on current cloud pricing, the A100 80GB starts at a lower hourly rate.
Technical Deep Dive: A100 80GB vs A800
Both GPUs utilize the NVIDIA Ampere architecture. The primary difference lies in their compute core counts. From a cost perspective, the **A100 80GB** is currently about **50% cheaper** per hour, offering better value for budget-conscious projects.
NVIDIA A100 80GB is Best For:
- AI model training
- Scientific computing
- Newest FP8 precision workloads
NVIDIA A800 80GB is Best For:
- AI training
- Scientific computing
- International high-bandwidth needs
Frequently Asked Questions
Which GPU is better for AI training: A100 80GB or A800?
For AI training, the key factors are VRAM size, memory bandwidth, and tensor core performance. The A100 80GB offers 80GB of HBM2e memory with 2.0 TB/s bandwidth, while the A800 provides 80GB of HBM2e with 2.0 TB/s bandwidth. Both GPUs have similar VRAM capacity, so performance characteristics become the deciding factor.
What is the price difference between A100 80GB and A800 in the cloud?
Cloud GPU rental prices vary by provider and region. Based on our data, A100 80GB starts at $0.40/hour while A800 starts at $0.80/hour. This represents a 50% price difference.
Can I use A800 instead of A100 80GB for my workload?
It depends on your specific requirements. If your model fits within 80GB of VRAM and you don't need the additional throughput of the A100 80GB, the A800 can be a cost-effective alternative. However, for workloads requiring maximum memory capacity or multi-GPU scaling, the A100 80GB's NVLink support (NVLink 3.0 (600 GB/s)) may be essential.
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