GPU MODELS / ALTERNATIVES TO A100 80GB SXM
Alternatives to the A100 80GB SXM
The A100 80GB was the standard large-model training chip of 2021-2023 and still anchors an enormous installed base. Its 80 GB of HBM2e fits most models up to 70B parameters for fine-tuning, and NVLink makes 8-way nodes behave like one big GPU. Hopper has replaced it at the frontier, but the A100 remains the price-performance reference the whole market is quoted against.
People usually compare the A100 80GB SXM against H100 SXM, MI300X, L40S. Prices below are live on-demand published rates from the panel.
LOADING LIVE DATA...
| Alternative | Memory | Bandwidth | Cheapest live rate | Head to head |
|---|---|---|---|---|
| H100 SXM | 80 GB HBM3 | 3.35 TB/s | - | A100 80GB SXM vs H100 SXM |
| MI300X | 192 GB HBM3 | 5.3 TB/s | - | A100 80GB SXM vs MI300X |
| L40S | 48 GB GDDR6 ECC | 864 GB/s | - | A100 80GB SXM vs L40S |
WHEN EACH ALTERNATIVE WINS
H100 SXM
The H100 roughly triples dense FP16 throughput, adds FP8 and raises bandwidth to 3.35 TB/s - but typically lists at 2-3x the A100's hourly rate. For fine-tuning jobs that fit in 80 GB, the A100 is often the better value; for pre-training, the H100 pays for itself.
MI300X
AMD's MI300X carries 192 GB and 5.3 TB/s - far more headroom for large-model inference - at often comparable panel prices. The trade is CUDA maturity versus raw memory.
L40S
The L40S is cheaper per hour and faster at FP16 on paper, but 48 GB of GDDR6 and no NVLink cap it at smaller models. For anything 70B-class, the A100's HBM and interconnect win.
A100 80GB SXM ALTERNATIVES - FAQ
What is the best alternative to the A100 80GB SXM?
It depends on the workload. H100 SXM: The H100 SXM is the chip the current generation of frontier models was trained on, and the benchmark every other datacenter GPU is priced against. MI300X: The MI300X is AMD's serious answer to Hopper: more memory (192 GB) and more bandwidth (5.3 TB/s) than any NVIDIA part before Blackwell, at panel prices that frequently undercut H100. L40S: The L40S is the workhorse of the inference-and-fine-tuning middle: Ada tensor cores with FP8, 48 GB of memory, and a price well below the H100 line. Live rates for each are in the table above.
Why look for A100 80GB SXM alternatives?
Small-model inference fleets - an L40S or RTX 4090 serves 7B-13B models far cheaper per token.
How much does the A100 80GB SXM cost compared to its alternatives?
Each alternative's current cheapest published rate is listed in the table above; figures recompute hourly from provider-published prices.