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Alternatives

Products that do what Deepcluster.io, A cheap and easy to use GPU cluster for deep learning does

Hi HN community, Shen and I created a service for anyone to easily train deep learning model on GPU power harnessed from the crowd. We have completed the first version DeepCluster.io (http://deepcluster.io) and welcome ML researchers to try it out for free! We are enthusiastic of deep learning, but often found training models with GPU instances on AWS very expensive. Meanwhile, some of our friends have idle GPUs that are used to mine cryptos. So we decided to borrow their GPUs for training deep learning model ourselves, and believe this could be a service that benefits other ML…

  1. 1
    GPU.LAND126

    Affordable cloud GPUs for deep learning

    2021

  2. 2

    The easiest way to use cloud GPUs

    2025

  3. 3SS

    Running DeepSeek V3 (685B) requires 8×H100 GPUs which is about $14k/month. Most developers only need 15-25 tok/s. sllm lets you join a cohort of developers sharing a dedicated node. You reserve a spot with your card, and nobody is charged until the cohort fills. Prices start at $5/mo for smaller models. The LLMs are completely private (we don't log any traffic). The API is OpenAI-compatible (we run vLLM), so you just swap the base URL. Currently offering a few models.

    Apr 2026 · sllm.cloud

  4. 4CG
  5. 5DG
  6. 6WM

    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

  7. 7

    Accelerating open machine learning research with Cloud TPUs

    2017

  8. 8PO

    Our company Vertex.AI has been working on this for a while but this is the first public release. We're starting with using PlaidML to bring OpenCL support to Keras and more frameworks, platforms, etc are coming. Yes, this means you can use use your AMD GPU for deep learning dev. Sorry, no Mac or Windows support yet although the brave can try building from source (it should work). http://vertex.ai/blog/announcing-plaidml https://github.com/plaidml/plaidml

    2017

  9. 9RA

    This started out as a personal effort to learn more about machine learning. It's currently a CLI app where you give it a JSON file specifying your network architecture and hyperparameters and point it to your training data, then invoke it again in 'eval' mode with some data it's not seen before and it will try to classify each sample. I don't see many other people using Vulkan for GPGPU, and there may be many good reasons for that, but I wanted to try something a bit different. I've made every attempt to make the code very clean and readable and I've written up the math in…

    2024 · github.com

  10. 10GC

    Hi HN, YC w24 company here. We just pivoted from drone delivery to build gpudeploy.com, a website that routes on-demand traffic for GPU instances to idle compute resources. The experience is similar to lambda labs, which we’ve really enjoyed for training our robotics models, but their GPUs are never available for on-demand. We are also trying to make it more no-nonsense (no hidden fees, no H100 behind “contact sales”, etc.). The tech to make this work is actually kind of nifty, we may do an in-depth HN post on that soon. Right now, we have H100s, a few RTX 4090s and a GTX 1080 Ti online.…

    2024 · gpudeploy.com

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    AI models that run on an inference cloud optimized for speed

    May 2026 · generalcompute.com

  12. 12

    The decentralised machine learning and AI platform

    2023

  13. 13
    ZeroGPU309

    The compute efficient layer for AI inference

    Jun 2026 · zerogpu.ai

  14. 14

    Jupyter notebooks you can run on free cloud GPUs

    2019

  15. 15
    RunInfra156

    Describe the AI model you need and get an optimized AI

    Jul 2026 · runinfra.ai

  16. 16IM
  17. 17

    Easy to use and fairly priced GPUs for Machine Learning

    2019

  18. 18SA
  19. 19

    Affordable H100, H200, GB300, and B200 GPU compute for training, inference, and everything in between.

    3d ago · compute.cheap

  20. 20

    Calculate the GPU memory you need for LLM inference

    2025

  21. 21

    ML dev tool that saves you up to 8x in cloud GPU costs

    2019

  22. 22
    crunr 106

    Launch and run any compute job on AWS with 1 command

    May 2026 · crunr.com

  23. 23

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

    2025

  24. 24OD

    Hi HN, We’ve launched a GPU cloud platform offering on-demand access to high-end GPUs — with pricing starting at $0.79/hr, no queue, and no preemption. What we offer: - On-demand H100, H200, and B200 instances - H200 pricing from $0.79/hr - Multi-region support: US, Singapore, and Europe - No queuing, no bidding, and no interruptions - Used by AI startups, researchers, and open-source developers Try it: https://hpc-ai.com/?utm_source=hackernews&utm_medium=post&ut... We built this after facing our own frustrations with high prices and long wait times on other…

    2025 · hpc-ai.com

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