NVIDIA · Ampere · 2020
NVIDIA A100 40GB. 40 GB HBM2, 312 TFLOPS FP16 tensor.
Ampere with 40 GB of HBM2: A100 compute for models that fit in 40 GB, for less per hour.
A100 40GB on demand
- Availability
- Available now · 5 regions
- By region and size
- $1.99 to $4.15/hr
- Billing
- By the second on most GPUs, a few by the minute
- 8+ GPUs or a month
- Launch any size yourself, and prepay 1 to 12 months when you launch an instance. Custom quotes on request.
The machine
40 GB of HBM2. At 1.6 TB/s.
- Memory
- 40 GB
- HBM2
- Bandwidth
- 1.6 TB/s
- Memory to compute
- FP16 tensor
- 312
- TFLOPS
- Per node
- 8 GPUs
- up to 400 W each
Price across clouds
NVIDIA A100 40GB, cloud by cloud. Sorted by price.
On-demand rates per GPU-hour from each cloud's public price page on 22 Oct 2026: RunPod's Secure Cloud, and Lambda's lowest per-GPU rate across its cluster sizes. Runcrate's row is today's live starting rate.
Workloads
What teams run on the A100 40GB. Each one opens the launch form, sized.
Launch it
Ask your agent for an A100 40GB. Or read the call it makes.
Claude Code or Codex runs the runcrate CLI for you: it starts the instance, copies your files over and runs the job. The SDKs make the same request.
Start an A100 40GB on Runcrate called my-gpu, copy train.py to it and run it.
runcrate instances create --name my-gpu --gpu A100# Instance queued: my-gpu (A100)runcrate instances status my-gpuruncrate cp ./train.py my-gpu:/root/workspace/runcrate ssh my-gpu -- python /root/workspace/train.pySpec sheet
How the A100 40GB compares. Against its closest alternatives.
Alternatives
Alternatives to the A100 40GB. Same account, different price and performance.
| GPU | Memory · FP16 tensor | Stands out | Price gap | From |
|---|---|---|---|---|
| NVIDIA A100 40GBThis GPU | 40 GB HBM2 · 312 TFLOPS | $1.99/hr | ||
| NVIDIA A100 80GB | 80 GB HBM2e · 312 TFLOPS | +40 GB memory | -13% | $1.73/hr |
| NVIDIA L40S | 48 GB GDDR6 · 362 TFLOPS | -43% | $1.14/hr | |
| AMD MI250X | 128 GB HBM2e · 383 TFLOPS | +88 GB memory | Not on demand | |
| NVIDIA RTX 5090 | 32 GB GDDR7 · 209.5 TFLOPS | -33% FP16 tensor | Not on demand |
Full specs
NVIDIA A100 40GB specifications.
Memory
- Memory
- 40 GB
- Type
- HBM2
- Bandwidth
- 1.6 TB/s
Compute
- FP32
- 19.5 TFLOPS
- FP16 tensor
- 312 TFLOPS
- INT8
- 624 TOPS
- Tensor cores
- 432
- CUDA cores
- 6,912
Power and form
- TDP
- up to 400 W
- Architecture
- Ampere
- Released
- 2020
Node
- GPUs per node
- 8
- Maker
- NVIDIA
Questions
Renting the A100 40GB. What buyers ask first.
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