veloxML: realtime ML deployments

Push your model. Get a production API. Keep vibe coding.

test_endpoint.ipynb

In [ ]:

import requests

response = requests.post(
    "...",
    json={"text": "Revenue grew 24% YoY."}
)
response.json()

0.0s

Out[1]:

bash

                    $ my-model/ ls

                    model.pt  requirements.txt

                    $ veloxml deploy

                    $ my-api/ ls

                    veloxml.yaml

                    $ veloxml deploy hf://mistralai/Mistral

                    $ my-llm/ ls

                    weights/

                    $ veloxml deploy --engine vllm

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