Datacenter · Ampere · launched 2021 · prices checked 2026-09-03
Rent NVIDIA A100 PCIE — 80 GB, $0.662/hr on-demand
- VRAM 80 GBHBM2e
- FP16 tensor 312TFLOPS
- PowerScore 220RTX 3090 = 100
- Configs 1–8×PCIe 4.0
- Online now 55 9 regions
Billed per second, price locked at deploy. Storage $0.08/GB/mo · bandwidth $0.01/GB — the whole fee schedule. Next weekly market re-check: 2026-09-10.
Datacenter · Ampere architecture
The A100 PCIe (80 GB) is the Ampere datacenter card in a standard slot: 80 GB HBM2e, FP64 tensor cores, MIG support, 300 W. Years of software maturity make it the safest choice for production inference and mid-size training, and it is usually the cheapest 80 GB card on the sheet.
A server-class card built for sustained 24/7 load: passive cooling in proper chassis, ECC memory, and drivers validated for compute. The sweet spot for inference fleets and fine-tuning jobs that need stability more than headline FLOPS.
NVIDIA A100 PCIE specs: VRAM, TFLOPS, bandwidth
| GPU model | NVIDIA A100 PCIE | Architecture | Ampere (2021) |
|---|---|---|---|
| VRAM | 80 GB HBM2e | Memory bandwidth | 1,935 GB/s |
| FP16 tensor perf. | 312 TFLOPS | FP32 perf. | 19.5 TFLOPS |
| CUDA cores | 6,912 | TDP | 300 W |
| PowerScore (RTX 3090 = 100) | 220 | PCIe generation | Gen 4.0 |
| Multi-GPU | 1× – 8× | Max instance storage | 8,000 GB NVMe |
| Network up to | 10,000 Mbps | CUDA | 12.4 – 13.0 |
Bandwidth, CUDA cores, TDP and FP32 are public NVIDIA figures; FP16 tensor is the dense (non-sparsity) number. Machine-level values come from live inventory.
A100 PCIE price per hour: on-demand, interruptible, reserved
One public rule sets every price on this page: the marketplace median for the A100 PCIE ($0.95/hr, snapshot 2026-09-03) × 0.70, rounded down — so on-demand is $0.662, 30% below market. Interruptible halves it; a 3-month reservation takes another 35% off.
| Mode | Per GPU-hour | Per day (24 h) | Per month (730 h) | What you get |
|---|---|---|---|---|
| On-demand | $0.662 | $15.89 | $483 | Guaranteed capacity, price locked at deploy, stop anytime |
| Interruptible | $0.331 | $7.94 | $242 | Flat −50%; may pause under capacity pressure, disk kept, auto-requeue |
| Reserved (3 months) | $0.430 | $10.32 | $314 | −35% on on-demand, rate locked for the term, capacity held |
Per GPU: an 8× machine costs exactly 8× — no multi-GPU premium. Estimate a full month with storage and bandwidth in the GPU cost calculator.
What you can run on a A100 PCIE (80 GB VRAM)
With 80 GB of HBM2e, a single card holds a ~32B-parameter LLM in FP16 or up to ~123B parameters quantized to 4-bit, with room for KV-cache at practical context lengths. Scale to 8× GPUs on one machine for bigger models or bigger batches — the per-GPU price stays $0.662.
- One-click template: vLLM on a A100 PCIE
- One-click template: PyTorch on a A100 PCIE
- One-click template: ComfyUI on a A100 PCIE
- Sizing help: LLM VRAM requirements guide
A100 PCIE availability by region
55 × A100 PCIE across 10 machines, live from inventory:
London
Singapore
Montréal
Dallas, TX
Madrid- Ashburn, VA
Mumbai
Amsterdam- Seattle, WA
A100 PCIE vs alternatives: price per TFLOP
| GPU | VRAM | FP16 | On-demand | $ / TFLOP-hr |
|---|---|---|---|---|
| A100 PCIE this card | 80 GB | 312 | $0.662 | $2.12‰ |
| L40S | 48 GB | 362 | $0.466 | $1.29‰ |
| L40 | 48 GB | 181 | $0.234 | $1.29‰ |
| L4 | 24 GB | 121 | $0.225 | $1.86‰ |
| A10 | 24 GB | 125 | $0.168 | $1.34‰ |
‰ = dollars per 1,000 TFLOP-hours of FP16 — a rough value-for-compute yardstick across cards.
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- RTX 4090 vs A100 PCIE — specs, price per hour, which to rent
- L40S vs A100 PCIE — specs, price per hour, which to rent
- All GPU comparisons
Renting a A100 PCIE: frequently asked questions
How much does it cost to rent an NVIDIA A100 PCIE per hour?
$0.662 per GPU-hour on-demand — a fixed price set at least 30% below the current market median of $0.95. Interruptible capacity costs $0.331/hr and a 3-month reservation $0.430/hr. Around $483/month if you keep one running non-stop, billed per second.
What can a A100 PCIE with 80 GB VRAM run?
In LLM terms, roughly a 32B-parameter model in FP16 or up to ~123B parameters 4-bit quantized on a single card, with context headroom. Multi-GPU instances (up to 8× on current inventory) multiply that; diffusion and rendering workloads fit comfortably at this VRAM class.
Is the A100 PCIE available to rent right now?
Yes — 55 GPUs across 10 machines in 9 regions are listed as we render this page. Configurations go from 1× to 8×. Deploy from the console and it is running in about 30 seconds.
How do I deploy a A100 PCIE?
Create an account (email + password, no card, no KYC), top up in crypto, open the console, filter by A100 PCIE, pick a machine and a template such as PyTorch, vLLM or ComfyUI. The same deploy is one command with the CLI: powergpu launch --gpu a100-pcie --template pytorch.
Why is the A100 PCIE cheaper here than on GPU marketplaces?
We price from the public marketplace median and fix our on-demand rate at least 30% below it, rounded down. The price is re-checked weekly (next check 2026-09-10) and published — no auctions, no per-host roulette, no bidding.