nowfound

Alternatives

Products that do what Banana does

Serverless GPUs for Machine Learning inference

  1. 1

    Calculate the GPU memory you need for LLM inference

    2025

  2. 2
    Carrot248

    GPT3 for computer vision

    2022

  3. 3
    GPU.LAND126

    Affordable cloud GPUs for deep learning

    2021

  4. 4

    The easiest way to use cloud GPUs

    2025

  5. 5

    Playground for Nano Banana image generation and editing

    Dec 2025

  6. 6

    Easy to use and fairly priced GPUs for Machine Learning

    2019

  7. 7
    Groq®237

    Hyperfast LLM running on custom built GPUs

    2024

  8. 8GA

    2021 · inferrd.com

  9. 9
    RunInfra156

    Describe the AI model you need and get an optimized AI

    Jul 2026

  10. 10S1

    I wanted to build an inference provider for proprietary AI models, but I did not have a huge GPU farm. I started experimenting with Serverless AI inference, but found out that coldstarts were huge. I went deep into the research and put together an engine that loads large models from SSD to VRAM up to ten times faster than alternatives. It works with vLLM, and transformers, and more coming soon. With this project you can hot-swap entire large models (32B) on demand. Its great for: Serverless AI Inference Robotics On Prem deployments Local Agents And Its open source. Let me know if anyone…

    Nov 2025 · github.com

  11. 11

    Open-source monitoring for machine learning models

    2021

  12. 12
    Neuro104

    Instant infrastructure for machine learning

    2021

  13. 13TR
  14. 14

    Pool compute to run powerful open models

    Apr 2026

  15. 15CI
  16. 16

    Self-host AI/ML with the world's cheapest GPU cloud

    2025

  17. 17

    Turn idle GPUs into cash. Get affordable AI for everyone.

    Nov 2025

  18. 18SF

    I've made a small Python library, designed for quick-and-easy prototyping of machine learning models. It's built on top of scikit-learn, to serialize and deserialize data from the forms you're likely to have, to the format used in scikit-learn. https://github.com/madman-bob/Smart-Fruit It's pretty bare-bones at the moment, but I thought I'd see if there was any interest before spending too much time on it. Let me know what you think.

    2018

  19. 19BR

    2019 · isthisbananaripe.ml

  20. 20DG
  21. 21MZ
  22. 22

    Unified Inference Stack with multi cloud GPU orchestration

    Dec 2025

  23. 23SS

    We'd like to introduce HN to Spell, which is a tool for easily running ML/DL jobs remotely. As Deep Learning has grown we see engineers and researchers struggle to incorporate running on GPUs into their workflow. So we built Spell to be the easiest way to get code running elsewhere - like the bash '&' operator but for remote machines. Sign up for an account at https://web.spell.run/waitlist, which includes $300 in credits for GPU time. There's a waitlist, but we'll be approving accounts as they come in. Here are some of the features we really wanted and built into Spell:…

    2018

  24. 24BP

    Hey HN, I've just launched https://bananaprompts.fun/, a collection of carefully crafted prompts designed specifically for Nano Banana Pro, the AI model that excels at advanced image generation. Whether you're into photorealistic seascapes, cyberpunk portraits, or isometric claymation cityscapes, these prompts are optimized to help you create stunning visuals with minimal tweaking. It's built for AI creators, artists, and devs who want reliable starting points to experiment with Nano Banana Pro. I'd love your feedback on the prompts, UI, or ideas for expansion—maybe more…

    Dec 2025 · bananaprompts.fun

Ranked by how close each launch is in meaning, then by votes. Refine with a description →