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Life & fun · alternatives · 2026

24 alternatives to iwant

Find available GPUs and host open models in one command

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier.

  1. 1

    Compare GPU rental prices across cloud providers

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

  2. 2

    Run GPU jobs from multiple Codex tasks via one Windows queue

    Sep 2026 · github.com · 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
    RunInfra▲156

    Describe the AI model you need and get an optimized AI

    Jul 2026 · runinfra.ai · its alternatives →

  5. 5WM

    Try it out! https://glhf.chat/ Hey HN! We’ve been working for the past few months on a website to let you easily run (almost) any open-source LLM on autoscaling GPU clusters. It’s free for now while we figure out how to price it, but we expect to be cheaper than most GPU offerings since we can run the models multi-tenant. Unlike Together AI, Fireworks, etc, we’ll run any model that the open-source vLLM project supports: we don’t have a hardcoded list. If you want a specific model or finetune, you don’t have to ask us for it: you can just paste the Hugging Face link in and…

    2024 · glhf.chat · its alternatives →

  6. 6

    A simple calculator that estimates how many concurrent requests your GPU can handle for a given LLM, with shareable results.

    2025 · selfhostllm.org · its alternatives →

  7. 7

    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 →

  8. 8

    Demo of agent based model on GPU with CUDA and OpenGL (Windows/Linux) Agent instances on GPU memory Uses SSBO for instanced objects (with GLSL 450 shaders) CUDA OpenGL interops Renders with GLFW3 window manager Dynamic camera views in OpenGL (pan,zoom with mouse) Libraries installed using vcpkg (https://github.com/KienTTran/ABMGPU)

    2023 · github.com · its alternatives →

  9. 9
    Grovefree tier, from $5/mo▲101

    One terminal for you and your AI agent

    Sep 2026 · grove.publishstudio.one · its alternatives →

  10. 10KG

    Borrow GPU compute from another device, with permission

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

  11. 11
    Udon▲77

    Control deck for your Mac home server with AI sysadmin.

    15d ago · udon.sh · its alternatives →

  12. 12

    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 →

  13. 13

    Open-source agent runtime — SSH-native isolation, eBPF egress policy, Kubernetes + LXC backends, GPU passthrough, MCP-native CLI - FootprintAI/Containarium

    Jan 2026 · github.com · its alternatives →

  14. 14

    gpu share, free, runsnack

    Aug 2026 · runsnack.com · its alternatives →

  15. 15

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

    2023 · github.com · its alternatives →

  16. 16FH

    Hi, This is Dan and Genevieve from Burstable AI. We've iterated and made a 45 degree pivot, taking what we learned from developing burst (https://news.ycombinator.com/item?id=28191459) to introduce a cloud service that provides access to a GPU-enabled machine using Jupyterlab to provide notebooks, shell access, and a code/text editor. GPU access is measured and the first 50 hours are free. This is *not* a platform to do crypto mining or run weeks of model training for free. We are focused on the R & D phase of modern AI/ML, where developers/scientists are…

    2022 · cloudburst.host · its alternatives →

  17. 17GS

    Recently I was inspired by exe.dev to finally finish a project I'd been procrastinating on for half a year. You can simply `ssh gpu.st new` and instantly create instances with a variety of GPUs attached. Instances boot a custom image with PyTorch, Jupyter, and the CUDA toolkit installed by default. Currently we give access to 3090s and 4090s for free users; paid users get access to all GPUs.

    Jan 2026 · gpu.st · its alternatives →

  18. 18

    Free tool to check if your GPU can run local LLMs.

    Jul 2026 · llmconfigurator.com · its alternatives →

  19. 19

    Hi HN! I've been hacking on this side project for the last month or two with the goal of making it dead simple to use cloud GPUs. I ran into this problem personally during the phd, and built my own tooling around it. I always thought it'd be fun to try to turn that tooling into a more general product... and bitbop.io is the result! All you have to do is run `ssh bitbop.io`, and you get your own personal dev GPU workstation in the cloud. Looking forward to hearing your thoughts!

    2024 · twitter.com · its alternatives →

  20. 20

    We've built InferX, a specialized runtime environment that fundamentally changes how LLMs are served. The core problem we solve is the latency bottleneck in AI inference, especially with large models. Current systems waste resources or suffer from painfully slow cold starts. InferX's AI-native architecture, with its "snapshot" technology, enables: * *Sub-2s cold starts:* Spin up models instantly. * *High density:* Serve more LLMs on the same GPUs. * *Optimal efficiency:* Maximize GPU utilization. This isn't just another API; it's a new execution layer designed from the ground up for the…

    2025 · github.com · its alternatives →

  21. 21

    LLM·RAG·VLM·아바타 워크로드를 GPU·CPU·RAM·스토리지·네트워크 구성과 경제형·권장형·확장형 견적 3안으로 변환하는 오픈소스 AI 인프라 산정 도구

    Aug 2026 · jaeseok614.github.io · its alternatives →

  22. 22

    Track&predict GPU power availability across cloud platforms.

    2025 · gpusignals.com · its alternatives →

  23. 23RJ
  24. 24

    Find the best-valued GPUs across all cloud providers

    2023 · gpufinder.xyz · its alternatives →

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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 →