Projects in Awesome Lists tagged with offload

A curated list of projects in awesome lists tagged with offload .

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https://github.com/microsoft/net-offloads

Specs for new networking hardware offloads.

hardware network offload quic specification xdp

Last synced: 09 Jun 2026

https://github.com/tapplencourt/ovo

OpenMP vs Offload

offload openmp validation

Last synced: 06 Oct 2025

https://github.com/emericg/offloadbuddy

A multimedia offloading software with a few tricks up its sleeve!

gopro offload videos

Last synced: 20 Oct 2025

https://github.com/marksmurphy/cdn-cache-check

Makes HTTP requests to URLs and parses response headers to determine caching behaviour

cache cache-control caching cdn cdn-detection dns headers http https offload performance url web

Last synced: 09 Jul 2025

https://github.com/icy/offloadme

Save money with data offloading

bash money-saving offload

Last synced: 29 Apr 2026

https://github.com/aniketfuryrocks/prime-run

a simple bash script to run apps with prime render offloading

bash graphics linux nvidia offload optimus-laptops

Last synced: 06 May 2026

https://github.com/izzydotexe/proxyplayer

Easily Offload the Minecraft server to another computer.

java minecraft offload server

Last synced: 15 Apr 2026

https://github.com/soenneker/soenneker.utils.executioncontexts

Utilities for executing work inline or offloading to the thread pool based on the current synchronization context.

action async csharp dotnet executioncontexts executioncontextutil func inline invocation object offload state task utils valuetask

Last synced: 06 Jun 2026

https://github.com/soenneker/soenneker.blazor.webworkers

Web Worker orchestration in Blazor.

blazor blazorlibrary csharp dotnet js offload web webworker webworkers webworkersutil worker workers

Last synced: 05 Jun 2026

https://github.com/mcp-tool-shop-org/gpu-container

Model-aware inference memory-placement planner for single-GPU rigs: profile hardware + model, generate explicit VRAM/RAM/NVMe placement plans across runtimes (llama.cpp/vLLM/...), and prove them with a measured receipt. Not VRAM overflow - declared placement.

cuda gpu inference llama-cpp llm moe offload vram wsl2