Back to feed
Dev.to
Dev.to
6/19/2026
Tune Model Training in Real Time — Zero Latency, Zero Restarts (Kiponos Python SDK)

Tune Model Training in Real Time — Zero Latency, Zero Restarts (Kiponos Python SDK)

Short summary

Kiponos enables real-time hyperparameter tuning during ML training via WebSocket-based in-memory config updates—no restarts or network latency on the hot path. The Python SDK fetches parameters locally and receives delta patches asynchronously, making it production-safe for GPU workloads. Free tier available at kiponos.io.

  • Change hyperparameters (learning_rate, dropout, weight_decay) mid-training without restarts or data loss
  • WebSocket delivers delta updates to in-memory cache; training loop reads locally with zero latency overhead
  • Production-proven: benchmarked on PyTorch GPU workloads with negligible performance impact vs. static config

Generated with AI, which can make mistakes.

Is this a good recommendation for you?

Explore more