A100 SXM vs A100 SXM
Manufacturer specifications of the A100 SXM and the A100 SXM, side by side, per GPU. A value the manufacturer does not publish for the exact model is marked as such, never estimated.
NVIDIA A100 SXM 80GB
Ampere
- GPU memory
- 80 GB
- Memory bandwidth
- 2,039 GB/s
Live price on EverXCloud · from $1.79 per GPU-hour
Suited workloads
NVIDIA A100 SXM 40GB
Ampere
- GPU memory
- 40 GB
- Memory bandwidth
- 1,555 GB/s
Live price on EverXCloud · from $0.34 per GPU-hour
Suited workloads
Key differences
- The A100 SXM has 2.0× the GPU memory of the A100 SXM (80 GB vs 40 GB).
- The A100 SXM has 1.3× the memory bandwidth of the A100 SXM (2,039 vs 1,555 GB/s), which usually sets the pace of LLM token generation.
- Both have about the same dense BF16 tensor throughput (312 vs 312 TFLOPS).
Specifications
| Specification | A100 SXM | A100 SXM |
|---|---|---|
| GPU memory | 80 GB (higher) | 40 GB |
| Memory type | HBM2e | HBM2 |
| Memory bandwidth | 2,039 GB/s (higher) | 1,555 GB/s |
| FP16 tensor | 312 TFLOPS | 312 TFLOPS |
| BF16 tensor | 312 TFLOPS | 312 TFLOPS |
| Max power | 400 W | 400 W |
| Architecture | Ampere | Ampere |
| Interconnect | NVLink 3 (600 GB/s) · PCIe 4.0 | NVLink 3 (600 GB/s) · PCIe 4.0 |
The higher value of each measured row is shown in bold. Manufacturer specifications, per GPU. Tensor throughput is shown without sparsity. Values the manufacturer does not publish for this exact model are left out.
What fits in memory, on one GPU
| Workload | A100 SXM | A100 SXM |
|---|---|---|
| LLM inference, 16-bit | ≈ 30B parameters | ≈ 15B parameters |
| LLM inference, 4-bit | ≈ 100B parameters | ≈ 50B parameters |
| Full training, mixed precision | ≈ 4B parameters | ≈ 2B parameters |
Cautious estimates counting 80% of memory for model weights; context length, batch size and framework change the real limit. Several GPUs together hold larger models.
A100 SXM vs A100 SXM: frequently asked questions
Which has more memory, the A100 SXM or the A100 SXM?
The A100 SXM has 80 GB of GPU memory, against 40 GB for the A100 SXM.
Which is faster for LLM inference, the A100 SXM or the A100 SXM?
Generating tokens is usually bound by memory bandwidth, and the A100 SXM has 1.3× the bandwidth of the A100 SXM. Memory size then decides which models fit. Measure your own model before a large run.
Can I rent the A100 SXM and the A100 SXM by the hour?
Yes, when sellers list them on the EverXCloud spot exchange: you buy GPU hours at the live price from a prepaid balance in euros, US dollars or pounds. Prices are shown excluding tax and EverXCloud is the merchant of record for every rental.
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