The NVIDIA L40S (Ada) is a versatile inference and visual-computing GPU with FP8 and media engines, while the A100 (Ampere) is a proven training workhorse with 80GB of HBM. For inference-first deployments the choice is not obvious.
We compare them on inference throughput, memory, media/graphics capability and cost to help you pick the right accelerator.
Key differences at a glance
- SpecL40SA100 80GBArchitecture: L40S, Ada Lovelace; A100, Ampere
- Memory: L40S, 48GB GDDR6; A100, 80GB HBM2e
- FP8: L40S, Yes; A100, No
- RT/Media engines: L40S, Yes; A100, No
- MIG: L40S, No; A100, Yes
Specifications at a glance
| Spec | L40S | A100 80GB |
|---|---|---|
| Architecture | Ada Lovelace | Ampere |
| Memory | 48GB GDDR6 | 80GB HBM2e |
| FP8 | Yes | No |
| RT/Media engines | Yes | No |
| MIG | No | Yes |
Inference & media strengths
The L40S adds FP8 and RT/media engines, making it excellent for inference, generative AI and visual computing (rendering, video, virtual workstations) at a lower cost than data-center HBM cards.
When to choose the A100
The A100’s 80GB HBM, higher bandwidth and MIG make it the better fit for large training jobs and memory-heavy models that exceed 48GB.
Verdict: which should you buy?
For inference, generative AI and mixed graphics/compute, the L40S is a cost-effective all-rounder. For large-scale training and 80GB memory needs, the A100 remains the stronger pick.
Total cost, availability and support
Raw benchmarks are only half the story. Street prices, stock levels and lead times for L40S and A100 swing widely with demand and region, and warranty and after-sales support differ from one seller to the next. On GPU Vendors you can compare verified vendors side by side, see transparent pricing and lead times, and buy direct, which often matters more to total cost of ownership than a few percentage points of raw performance.
Which one is right for you?
If your workloads and budget are still growing, favour the option with more memory and longer headroom so you are not forced to upgrade again within a year. If you have a fixed, well-understood workload, the more affordable choice frequently delivers the best value per dollar. Model both against your real requirements, resolution and frame-rate targets for gaming, or model size, batch size and context length for AI, before you commit.
Frequently asked questions
Is L40S worth it over A100?
It depends on your workload and budget. If you regularly hit the limits of A100, whether that is memory capacity, bandwidth or raw throughput, then L40S pays for itself in headroom and longevity. If A100 already covers your needs comfortably, the upgrade is harder to justify on performance alone.
Will A100 still be supported?
Yes. Both options continue to receive driver and software support, so A100 remains a viable choice and is often the better value on the used and clearance market.
Where can I compare prices for L40S and A100?
Use the GPU Vendors comparison tool to line up full specs and live prices from verified sellers, then buy direct from the vendor with the best price and lead time.
Prices and availability change constantly. Compare live offers from verified sellers and build a side-by-side spec sheet on the GPU Vendors comparison tool.