NVIDIA H100 PCIe VS NVIDIA A800 80GB
Choosing between **H100 PCIe** and **A800** depends on your specific AI workload requirements. Currently, you can rent these GPUs starting from **$0.00/h** and **$0.80/h** respectively across 3 providers.
H100 PCIe
📊 Detailed Specifications Comparison
| Specification | H100 PCIe | A800 | Difference |
|---|---|---|---|
| Architecture & Design | |||
| Architecture | Hopper | Ampere | - |
| Process Node | 4nm | 7nm | - |
| Target Market | datacenter | datacenter | - |
| Form Factor | Dual-slot PCIe | SXM4 / PCIe | - |
| Memory & Bandwidth | |||
| VRAM Capacity | 80GB | 80GB | |
| Memory Type | HBM3 | HBM2e | - |
| Memory Bandwidth | 2.0 TB/s | 2.0 TB/s | +3% |
| Memory Bus Width | 5120-bit | 5120-bit | - |
| Compute Infrastructure | |||
| CUDA Cores | 14,592 | 6,912 | +111% |
| Tensor Cores (AI) | 456 | 432 | +6% |
| AI & Compute Performance (TFLOPS) | |||
| FP32 (Single Precision) | 51 TFLOPS | 19.5 TFLOPS | +162% |
| FP16 (Half Precision) | 1,513 TFLOPS | 312 TFLOPS | +385% |
| Power & Efficiency | |||
| TDP (Thermal Design Power) | 350W | 400W | -13% |
| PCIe Interface | PCIe 5.0 x16 | PCIe 4.0 x16 | - |
🎯 Use Case Recommendations
LLM & Large Model Training
NVIDIA H100 PCIe
Higher VRAM capacity and memory bandwidth are critical for training large language models. The A800 offers 80GB compared to 80GB.
AI Inference
NVIDIA H100 PCIe
For inference workloads, performance per watt matters most. Consider the balance between FP16/INT8 throughput and power consumption.
Budget-Conscious Choice
NVIDIA A800 80GB
Compare live pricing to find the best value for your specific workload.
Technical Deep Dive: H100 PCIe vs A800
This is a generational comparison within the NVIDIA ecosystem, pitting Hopper against Ampere.
NVIDIA H100 PCIe is Best For:
- AI inference
- Enterprise AI
- Highest-end training
NVIDIA A800 80GB is Best For:
- AI training
- Scientific computing
- International high-bandwidth needs
Frequently Asked Questions
Which GPU is better for AI training: H100 PCIe or A800?
For AI training, the key factors are VRAM size, memory bandwidth, and tensor core performance. The H100 PCIe offers 80GB of HBM3 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 H100 PCIe and A800 in the cloud?
Cloud GPU rental prices vary by provider and region. Check our price tracker for the latest rates from 50+ cloud providers.
Can I use A800 instead of H100 PCIe 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 H100 PCIe, the A800 can be a cost-effective alternative. However, for workloads requiring maximum memory capacity or multi-GPU scaling, the H100 PCIe's architecture may be essential.
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