nowfound

Alternatives

Products that do what NeuroGrid does

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

  1. 1
    Neuro104

    Instant infrastructure for machine learning

    2021

  2. 2
    GPU.LAND126

    Affordable cloud GPUs for deep learning

    2021

  3. 3

    Easy to use and fairly priced GPUs for Machine Learning

    2019

  4. 4

    No-code AI Lab: Train models, access datasets, run inference

    Feb 2026

  5. 5

    Calculate the GPU memory you need for LLM inference

    2025

  6. 6

    Swarm Agents That Turn Slow PyTorch Into Fast GPU Kernels

    Jan 2026

  7. 7
    RunInfra156

    Describe the AI model you need and get an optimized AI

    Jul 2026

  8. 8CG
  9. 9
    Banana235

    Serverless GPUs for Machine Learning inference

    2022

  10. 10DG
  11. 11MY
  12. 12
    RightNow197

    AI code editor for GPU kernel development

    Dec 2025

  13. 13

    Powers faster, efficient reasoning for long-running agents

    Jun 2026

  14. 14

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

    2025

  15. 15

    The world’s most powerful chip’ for AI

    2024

  16. 16

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

    Mar 2026

  17. 17
    Forge CLI107

    Swarm agents optimize CUDA/Triton for any HF/PyTorch model

    Jan 2026

  18. 18TR
  19. 19BG
  20. 20GA

    2021 · inferrd.com

  21. 215L

    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

  22. 22SS

    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

  23. 23NU
  24. 24MG

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