A100 GPU rental price
NVIDIA A100 · 80 GB VRAM. Live per-GPU pricing aggregated across 7 providers and 7 regions.
The A100 (80GB HBM2e) currently rents from $0.480 per GPU per hour on Aquanode, across 7 providers.
The cheapest A100 offer right now (SimplePod, $0.480/GPU/hr) is about 65% below the market median of $1.39/GPU/hr.
A100 specs
A100 full specs
| Architecture | NVIDIA, launched 2020 |
| VRAM | 80GB HBM2e |
| Memory bandwidth | 2,039 GB/s |
| FP16 / BF16 tensor throughput | 312 TFLOPS (peak, dense) |
| Interconnect | NVLink 3, 600 GB/s |
| TDP | 400W (SXM) |
| Form factor | SXM, PCIe |
Specs sourced from the vendor's public datasheet. See the source.
What fits in 80GB HBM2e of VRAM
| Model | Precision | Fits? |
|---|---|---|
| Llama 3 8B | BF16 | ~16GB. Fits with room to spare. |
| Llama 3.1 70B | BF16 | ~140GB. Needs 2 GPUs; a single 80GB card can't hold it. |
| Llama 3.1 70B | INT4 | ~35-40GB. Fits on a single card. |
| Mistral 7B / similar | BF16 | ~14GB. Fits easily, leaves room for several MIG partitions. |
Approximate, based on published parameter counts and standard bytes-per-parameter rules of thumb (FP16 ≈ 2 bytes/param, INT4 ≈ 0.5-0.6 bytes/param). Real footprint also depends on KV-cache size and framework overhead.
Good for
Still one of the most cost-effective cards for BF16 training and fine-tuning at the 7-30B scale, and its Multi-Instance GPU (MIG) support lets one 80GB card be partitioned into up to seven isolated instances for many small inference workloads at once.
Not good for
No FP8 tensor cores at all (FP8 shipped starting with the next generation, Ada/Hopper), so it can't hit the throughput or memory savings an H100/H200 gets from FP8 inference. Expect roughly half the tensor throughput of an H100 on comparable BF16 workloads.
Get notified when the price drops
GPU supply moves hourly. Tell us what you're waiting for and we'll email you when a matching offer appears across any provider we track.
How this price is calculated
All prices on this page are normalized to a per-GPU hourly rate using each offer's authoritative GPU count, so that raw price is divided by the number of GPUs it actually covers; Akash reports its price as already per-GPU, so it is used as-listed. An offer with a missing, zero, or invalid GPU count is excluded entirely rather than published at a guessed rate.
No offers were excluded from this snapshot for a missing or invalid price. No offers were dropped as price outliers in this snapshot.
Only the cheapest qualifying offer per provider is shown in the table above. This page regenerates at most once per hour.
Frequently asked questions
How much does it cost to rent a A100?
Live A100 rental prices currently range from $0.480 to $1.59 per GPU per hour across 7 providers, with a median of $1.39 per GPU per hour.
Which provider has the cheapest A100?
SimplePod currently offers the lowest A100 rate on Aquanode's marketplace at $0.480 per GPU per hour in US.
How is the A100 price calculated?
All prices are normalized to a per-GPU hourly rate using each offer's authoritative GPU count, which the raw price is divided by; Akash reports its price as already per-GPU. Offers whose price can't be safely normalized, or whose rate is an extreme outlier against the rest of the market, are excluded.
How much does an A100 cost per hour?
Live A100 rental rates on Aquanode currently range from $0.480 to $1.59 per GPU per hour, with a median of $1.39/hr. See the live table above for current per-provider pricing.
How much VRAM does an A100 have?
The A100 has 80GB HBM2e, with 2,039 GB/s of peak memory bandwidth.
Is renting cheaper than buying?
Renting avoids the upfront hardware cost and lets you match spend to actual usage. A rented A100 at $0.480/hr only costs money while it's running, whereas buying ties up capital in hardware that keeps depreciating whether it's in use or not. Which is cheaper depends on how continuously you'd run it; short or bursty workloads usually favor renting.
