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Vast.ai is particularly recommended for researchers, data scientists, machine learning practitioners, animators, and anyone else requiring high-performance GPU resources for tasks such as deep learning, data analysis, scientific research, and rendering. It's ideal for those with sporadic or project-based needs who want to minimize fixed costs.
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Based on our record, Vast.ai seems to be more popular. It has been mentiond 233 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
> The same logic for why self-driving cars can't be cloud based, applies for robots. Something cannot be in the middle of a delicate operation and then "oops!", no network, it just stops. I don't think you understood my post. The equivalent of self-driving is the movement control I was talking about. Self-driving cars don't have high level logic, except for route planning. Which often is offloaded to the... - Source: Hacker News / 3 days ago
A week ago I connected it to Vast.ai โ a GPU marketplace where people rent compute time. No code required. You install a daemon, set a price, and wait for someone to rent your machine. - Source: dev.to / 6 days ago
RunPod is easier to link to than Vast.ai. RunPod's referral URL resolves cleanly with no login wall before the landing page. Vast.ai drops you directly on the instance marketplace, which is great if you already know what you're doing and confusing if you don't. For a cold click from a model page, RunPod's onboarding is softer. - Source: dev.to / 17 days ago
Had some fun with the new TripoSplat from http://vast.ai, it's a nice model! Got it to run in the browser by quantizing a bunch of the weights and chunked SDPA. If you have ideas on how to improve I'd love to hear it! - Source: Hacker News / 24 days ago
This week I experimented with vast.ai, a marketplace where you can rent GPU hardware on demand for AI workloads. I walked in expecting friction. Provisioning an NVIDIA H100, deploying a brand-new model, configuring networking โ all of it sounded like a weekend project at minimum. Instead, I had a freshly released Gemma 4 32B model running and responding to prompts in about an hour. The cost? Roughly $1.50 per hour... - Source: dev.to / 3 months ago
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