Documentation and guides from the team at Fly.io.

Fly.io offers insights into edge computing, serverless architecture, and global content delivery network (CDN), providing documentation, tutorials, and best practices for deploying and scaling applications at the network edge. By exploring Fly.io's curated content, developers can learn about Fly's edge computing platform, distributed application runtime, and HTTP/2 load balancing for building fast, secure, and scalable web applications. Whether you're optimizing latency for global users, offloading compute-intensive tasks, or deploying microservices, Fly.io offers resources to supercharge your application performance and reliability.

Fly.io

Fly.io has made GPUs available to everyone, allowing users to spin up GPU instances for tasks such as large language model inferencing and image generation. The available GPU types are Ampere A100 (40GB), Ampere A100 (80GB), and Lovelace L40s (48GB). The post also mentions that lower-cost A10 GPUs will be introduced in the future. Additional articles related to using GPUs on Fly.io are provided for further exploration.

GPUs on Fly.io are open for everyone!

<p>interesting! thx for the share &lt;3</p>
