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Fly.io is getting rid of GPU-accelerated machines

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Fly.io is getting rid of GPU-accelerated machines
TL;DR · WeSearch summary

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.

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Original publisherFly
Canonical URLhttps://fly.io/docs/gpus/
Publication timeSun, 17 May 2026 03:00:57 +0000
Retrieval time2026-05-17T03:10:19.134Z
Last seen2026-05-17T03:10:19.134Z
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Excerpt methodFirst ~120 words (~800 chars) of extracted publisher body, fair-use limited.
SummaryWeSearch · cerebras-chat (WeSearch summarizer)
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Citation coverageSummary is a WeSearch-generated derivative; primary citation is the original publisher URL.
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Substitutes article?No — link-out required for full text

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Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Opening excerpt (first ~120 words) tap to expand

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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