Great idea. What about limitations in your service?
Today, big tech and governments are working together to restrict the ability to create AI solutions by single individuals and small companies. Single individuals frequently cannot afford significant computational resources for AI in cloud services. The services list GPU hardware, but when people try to order it, the services request explanations like "Who are you? How will you use this hardware?" and then reject requests for projects that may be competitive against BigTech products.
What about you? Do you request any information of users? How much automated ordering in your product?
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This is brilliant, to the extent that I assumed it had already been implemented by someone. Yet, I haven't found any other platform that has evolved this idea into a fully functional marketplace like yours.
Hi Nicholas,
GPUDeploy seems like a fantastic solution for accessing affordable GPU power.
Questions:
- How do you ensure the reliability and performance of the GPUs available on your platform?
- Can users scale up their usage seamlessly for larger projects or training models?
Congrats on the launch!
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@kyrylosilin we capture performance metrics and perform a number of checks on each machine when it joins our site and continuously throughout its lifetime. Unreliable machines are removed immediately. With our on-demand offering you can seamlessly switch between machines - we currently offer machines up to 8xH100 with 640GB of GPU memory.
Hi Nicholas, GPUDeploy sounds like an incredibly valuable solution for the AI and machine learning community! The on-demand GPU access at wholesale prices is really impressive.
I'm particularly intrigued by the range of GPUs you offer, from RTX 4090s to H100s. The pricing seems very competitive. I'm curious, how do you ensure consistent availability, especially for high-demand cards like the A100s and H100s?
The ability for GPU owners to easily monetize their idle hardware is a brilliant idea. Have you seen a lot of interest from individual owners or mostly from companies with larger GPU clusters?
Regarding the user experience, I'd love to hear more about any specific tools or features you provide to help users optimize their GPU usage and costs. Do you offer any monitoring or cost management tools?
Lastly, given your background in robotics, do you see any potential for GPUDeploy to cater specifically to robotics companies or researchers in the future?
Thanks for bringing this innovative platform to the community. It seems like it could be a game-changer for many AI projects and startups!
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Congrats on the launch, Nicholas! 🎉
GPUDeploy sounds fantastic, especially for those of us who need affordable and accessible GPU power without the hassle. It’s great to see a solution that tackles both availability and pricing issues head-on.
Quick question: How does GPUDeploy ensure the reliability and performance of the GPUs during peak demand times?
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