answered with live data · 2026-07-08

Is the A100 still worth renting?

Yes, for many workloads the A100 is still the best value. It is an older generation than the H100, so it rents for less while offering the same 80GB of memory on the top SKU, which is plenty for a lot of inference and fine-tuning. The cheapest verified A100 in our index is $0.89/hr. You give up speed, not capability, for most jobs that are memory-bound rather than compute-bound.

GPU	VRAM	$/hr	Where
A100 PCIe 80GB	80 GB	$0.68	Microsoft Azure spot / interruptible	Rent →
A100 SXM 40GB	80 GB	$0.75	Microsoft Azure spot / interruptible	Rent →
A100 SXM 40GB	80 GB	$0.89	Jarvislabs on-demand	Rent →
A100 SXM 40GB	80 GB	$1.00	RunPod community cloud	Rent →
A100 SXM 80GB	80 GB	$1.07	Microsoft Azure spot / interruptible	Rent →
A100 PCIe 80GB	80 GB	$1.19	RunPod community cloud	Rent →
A100 SXM 40GB	80 GB	$1.29	DataCrunch on-demand	Rent →
A100 (unspecified)	80 GB	$1.35	Hyperstack on-demand	Rent →

The H100 and newer cards win clearly on raw throughput and on features like faster tensor cores, so heavy training and high-volume serving finish sooner on them and can cost less per unit of work despite the higher rate. If you are compute-bound, pay for the newer card.

But a large share of real workloads are limited by memory, not math: serving a mid-sized model, running batch inference, or fine-tuning with parameter-efficient methods. There the A100 does the job and the lower hourly rate makes it the cheaper path.

Check the current spread before deciding. When H100 supply is loose the price gap narrows and the newer card can be worth it; when H100s are scarce the A100 discount widens. The table below shows where the A100 currently sits across providers.

Is the A100 still worth renting?

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