RunInfra
Describe the AI model you need and get an optimized AI
192 followers
Describe the AI model you need and get an optimized AI
192 followers
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.
the automatic re-optimization on model swap is the part that actually saves time, most tools make you redo the GPU/quantization work by hand every time you change models. does the Forge agent cache kernels per model+GPU combo so a swap back to something you already ran once is instant, or does it always regenerate from scratch
RightNow AI
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.