
Summaries like this, in your inbox every morning.
Sign up free →SMILE Serve bundles three inference capabilities on the JVM: Classic ML (serialized SMILE models), ONNX Runtime (open-format models), and LLM Chat (Llama 3 chat completions with conversation persistence), each accessed via separate API prefixes.
Deployment options include Docker (quickest start), JAR packaging, Uber-JAR (single self-contained file), and native executable compilation via GraalVM for sub-millisecond startup and lower memory use.
Classic ML and ONNX models are auto-discovered from mounted directories at startup; the Chat API supports a configurable maximum sequence length of 4096 tokens and can be backed by PostgreSQL for chat history persistence.
No comments yet. Be the first to share your thoughts!
Log in to join the discussion




Get curated AI news from 200+ sources delivered daily to your inbox. Free to use.
Get Started FreeFree · takes 30 seconds · unsubscribe anytime
1 minute a day. The AI essentials.
200+ sources · Email / LINE / Slack