Fly.io is getting rid of GPU-accelerated machines
Fly.io is discontinuing its GPU-accelerated machines, with all GPU offerings set to be unavailable after August 1. The platform currently supports four GPU models—A10, L40S, A100 40G PCIe, and A100 80G SXM—for tasks like inference, training, and graphics workloads. These GPUs are accessible in specific regions including ord, iad, sjc, syd, and ams.
- ▪Fly.io is deprecating GPU-accelerated machines, which will no longer be available after August 1.
- ▪Four GPU models were offered: A10, L40S, A100 40G PCIe, and A100 80G SXM, each suited for different computational tasks.
- ▪GPU machines are currently available in regions such as ord, iad, sjc, syd, and ams, depending on the model.
- ▪The A100 GPUs are designed for high-precision computing, while L40S and A10 support inference, graphics, and smaller language models.
- ▪Fly.io recommends the GPU Quickstart guide for users looking to deploy GPU workloads before the deprecation.
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Docs Fly GPUs Fly GPUs GPUs are deprecated and will be unavailable after August 1. Fly.io has GPUs! If you have workloads that would benefit from GPU acceleration, Fly GPU Machines may be for you. What can I use Fly GPUs for? Four models of GPU are available: A10, L40S, NVIDIA A100 40G PCIe and A100 80G SXM. A100 units are all about the tensor cores, and are positioned for inference, model training, and intensive high-precision computation tasks like scientific simulations. As their names suggest, they have 40GB and 80GB of GPU memory. (A100 datasheet) L40S cards are all-rounders; they’ve got tensor cores, RT cores, and NVENC/NVDEC, and have 48GB of GPU RAM. Choose the L40S to accelerate graphics or video workloads, as well as for inference.
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