# Set “fallback” GPUs | Modal Docs

- **URL:** https://modal.com/docs/examples/gpu_fallbacks
- **Summary:** GPU availabilities on Modal can fluctuate, especially for tightly-constrained requests, like for eight co-located GPUs in a specific region.

[View on GitHub](https://github.com/modal-labs/modal-examples/blob/main/06_gpu_and_ml/gpu_fallbacks.py)

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Set “fallback” GPUs
===================

GPU availabilities on Modal can fluctuate, especially for tightly-constrained requests, like for eight co-located GPUs in a specific region.

If your code can run on multiple different GPUs, you can specify your GPU request as a list, in order of preference, and whenever your Function scales up, we will try to schedule it on each requested GPU type in order.

The code below demonstrates the usage of the `gpu` parameter with a list of GPUs.

    import subprocess
    
    import modal
    
    app = modal.App("example-gpu-fallbacks")
    
    
    @app.function(
        gpu=["h100", "a100", "any"],  # "any" means any of L4, A10, or T4
        single_use_containers=True,  # new container each input, so we re-roll the GPU dice every time
    )
    async def remote(_idx):
        gpu = subprocess.run(
            ["nvidia-smi", "--query-gpu=name", "--format=csv,noheader"],
            check=True,
            text=True,
            stdout=subprocess.PIPE,
        ).stdout.strip()
        print(gpu)
        return gpu
    
    
    @app.local_entrypoint()
    def local(count: int = 32):
        from collections import Counter
    
        gpu_counter = Counter(remote.map([i for i in range(count)], order_outputs=False))
        print(f"ran {gpu_counter.total()} times")
        print(f"on the following {len(gpu_counter.keys())} GPUs:", end="\n")
        print(
            *[f"{gpu.rjust(32)}: {'🔥' * ct}" for gpu, ct in gpu_counter.items()],
            sep="\n",
        )

[Set “fallback” GPUs](https://modal.com/docs/examples/gpu_fallbacks#set-fallback-gpus)
> Common reference appendix (shared error/status catalog): see [../_shared-appendix.md](../_shared-appendix.md).
    modal run 06_gpu_and_ml/gpu_fallbacks.py