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GitHub Actions runners for TensorFlow

GPU + CUDA + cuDNN ABI matrix is brittle; default runners don't pin it. Cirun runs your TensorFlow CI on a right-sized cloud VM on your own account — pick AWS, GCP, Azure, Oracle, DigitalOcean, OpenStack or on-prem, billed by your cloud, never per CI minute.

Run TensorFlow on Cirun Docs

Why this fits

GPU + CUDA + cuDNN ABI matrix is brittle; default runners don't pin it.
Cirun is cloud-neutral — every supported cloud has at least one SKU that fits TensorFlow; pick whichever account you already have.
Ephemeral by default — no state from the previous PR leaks into yours, no flaky-cache surprises.

.cirun.yml

1runners:
2  - name: tensorflow-runner
3    cloud: aws
4    instance_type: g5.xlarge
5    # Use AWS Deep Learning AMI GPU PyTorch on Ubuntu 22.04
6    # (Marketplace) for pre-installed CUDA + drivers, or the
7    # Cirun-published NVIDIA AMI.
8    machine_image: ami-04823729c75214919
9    labels:
10      - cirun-tensorflow

.cirun.yml

1runners:
2  - name: tensorflow-runner
3    cloud: gcp
4    instance_type: a2-highgpu-1g
5    # Use a GCP Deep Learning VM image family
6    # (deeplearning-platform-release) for pre-installed CUDA + drivers.
7    machine_image: projects/deeplearning-platform-release/global/images/family/pytorch-latest-cu121
8    labels:
9      - cirun-tensorflow

.cirun.yml

1runners:
2  - name: tensorflow-runner
3    cloud: azure
4    instance_type: Standard_ND96asr_v4
5    # Use Microsoft's HPC/DSVM Ubuntu image for pre-installed CUDA +
6    # drivers.
7    machine_image: microsoft-dsvm:ubuntu-hpc:2204:latest
8    labels:
9      - cirun-tensorflow