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Work · alternatives · 2026

24 alternatives to Codex GPU Queue

Run GPU jobs from multiple Codex tasks via one Windows queue

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

  1. 1
    iwant▲70

    Find available GPUs and host open models in one command

    12d ago · github.com · its alternatives →

  2. 2

    Compare GPU rental prices across cloud providers

    4d ago · gpu.context.dev · its alternatives →

  3. 3

    We developed a tool to trick your computer into thinking it’s attached to a GPU which actually sits across a network. This allows you to switch the number or type of GPUs you’re using with a single command.

    2024 · thundercompute.com · its alternatives →

  4. 4

    Simple scheduler for running jobs on GPUs. Contribute to ExpectationMax/simple_gpu_scheduler development by creating an account on GitHub.

    2019 · github.com · its alternatives →

  5. 5

    The Letterboxd Alternative.

    Sep 2026 · queuebrick.com · its alternatives →

  6. 6

    Run AI jobs from your IDE with a one-click workflow

    Mar 2026 · oncompute.ai · its alternatives →

  7. 7

    I've been working on CloudRouter, a skill + CLI that gives coding agents like Claude Code and Codex the ability to start cloud VMs and GPUs. When an agent writes code, it usually needs to start a dev server, run tests, open a browser to verify its work. Today that all happens on your local machine. This works fine for a single task, but the agent is sharing your computer: your ports, RAM, screen. If you run multiple agents in parallel, it gets a bit chaotic. Docker helps with isolation, but it still uses your machine's resources, and doesn't give the agent a browser, a desktop, or a GPU to…

    Feb 2026 · cloudrouter.dev · its alternatives →

  8. 8KG

    Borrow GPU compute from another device, with permission

    Sep 2026 · kanverse-borrow.kanthrfp.workers.dev · its alternatives →

  9. 9
    crunr ▲106

    Launch and run any compute job on AWS with 1 command

    May 2026 · crunr.com · its alternatives →

  10. 10

    We built installable software for Windows & Linux that makes any remote Nvidia GPU accessible to, and shareable across, any number of remote clients running local applications, all over standard networking.

    2022 · github.com · its alternatives →

  11. 11

    Manage your GPUs across NVIDIA, AMD, Intel, and Apple Silicon systems. - treadiehq/gpu-kill

    2025 · github.com · its alternatives →

  12. 12

    Run Claude, Codex & Cursor in parallel from one dashboard

    Mar 2026 · kingcode.shingoirie.com · its alternatives →

  13. 13

    Ultrafast workspace for agents to run in parallel

    10d ago · trypalomino.com · its alternatives →

  14. 14

    Preemptive multithreading for AVR microcontrollers. - TurkeyMcMac/avr_threads

    2020 · github.com · its alternatives →

  15. 15

    Run AI coding agents in parallel, one ticket at a time

    20d ago · singularity.meteorfactory.dev · its alternatives →

  16. 16

    I built an unofficial CLI and MCP server for Lambda cloud GPU instances. The main idea: your AI agents can now spin up and manage Lambda GPUs for you. The MCP server exposes tools to find, launch, and terminate instances. Add it to Claude Code, Cursor, or any agent with one command and you can say things like "launch an H100, ssh in, and run big_job.py" Other features: - Notifications via Slack, Discord, or Telegram when instances are SSH-ready - 1Password support for API keys - Also includes a standalone CLI with the same functionality Written in Rust. MIT licensed. Note: This is an…

    Jan 2026 · github.com · its alternatives →

  17. 17

    100% bootstrapped new startup. It lets you fine tune Mistral-7B and SDXL. In particular, for the LLM fine tuning we implemented a dataprep pipeline that turns websites/pdfs/doc files into question-answer pairs for training the small LLM using an big LLM. It includes a GPU scheduler that can do finegrained GPU memory scheduling (Kubernetes can only do whole-GPU, we do it per-GB of GPU memory to pack both inference and fine tuning jobs into the same fleet) to fit model instances into GPU memory to optimally trade off user facing latency with GPU memory utilization It's a pretty…

    2023 · docs.helix.ml · its alternatives →

  18. 18AA
  19. 19

    The unix util `wc` running on a GPU. Contribute to fragmede/wc-gpu development by creating an account on GitHub.

    2024 · github.com · its alternatives →

  20. 20

    Calculate token/s & GPU memory requirement for any LLM. Supports llama.cpp/ggml/bnb/QLoRA quantization - RahulSChand/gpu_poor

    2023 · github.com · its alternatives →

  21. 21
  22. 22UA
  23. 23
  24. 24RJ

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →