Tell RunInfra what you need and it builds the production API. No dashboards. No config. Describe any open source model or full app in plain language. We optimize it for real: benchmark GPUs, quantize the model, generate custom CUDA kernels with our Forge agent. It runs faster and cheaper than standard hosting. Build voice (speech → AI → speech), doc search, vision, or model routing, all in one chat. Pay per million tokens. Scale to zero. Run managed or on your own GPUs.
@uladzislau_rasliak while the agent start setting a matrix from the first prompt, it’s less communicative
I will fix this issue just in case
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Osama, the part that lands for me is not having to become an infrastructure expert just to get a model running properly. That barrier has quietly killed plenty of good ideas, so seeing it lowered is refreshing.
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Tried spinning up a custom voice pipeline in the chat and it actually worked without me touching a config file. The CUDA kernel generation for a smaller Llama variant was way faster than I expected, ran cooler on my GPU too.
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Tried spinning up a vision model just by describing it and it actually returned a working endpoint, no dashboard digging required. The custom CUDA kernel generation is a wild flex for a chat interface.
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Spent a few minutes describing a doc search use case and the generated API was already hitting it faster than my usual setup, the per-token pricing is a nice touch too. Curious how the custom CUDA kernels hold up on weirder workloads.
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Tried it with a small vision model this morning and the speed jump over my usual setup was noticeable right away, plus the per-token pricing is way easier to stomach than the GPU bills I was getting before.
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I think the natural language approach makes this platform stand out. i have always preferred explaining what I want instead of navigating multiple dashboards and configurations screen.
Vivaldi
Tried, hit a few errors during planning, in the end, it deployed something, but it hung on a simple "wazzup" prompt with no recovery. Nice UI though
Oh, and there is no account removal action available.
RightNow AI
Osama, the part that lands for me is not having to become an infrastructure expert just to get a model running properly. That barrier has quietly killed plenty of good ideas, so seeing it lowered is refreshing.
Tried spinning up a custom voice pipeline in the chat and it actually worked without me touching a config file. The CUDA kernel generation for a smaller Llama variant was way faster than I expected, ran cooler on my GPU too.
Tried spinning up a vision model just by describing it and it actually returned a working endpoint, no dashboard digging required. The custom CUDA kernel generation is a wild flex for a chat interface.
Spent a few minutes describing a doc search use case and the generated API was already hitting it faster than my usual setup, the per-token pricing is a nice touch too. Curious how the custom CUDA kernels hold up on weirder workloads.
Tried it with a small vision model this morning and the speed jump over my usual setup was noticeable right away, plus the per-token pricing is way easier to stomach than the GPU bills I was getting before.
I think the natural language approach makes this platform stand out. i have always preferred explaining what I want instead of navigating multiple dashboards and configurations screen.
RightNow AI