Features
Experiment tracking with auto-logging
Model registry with lineage
Dataset versioning and artifact storage
Collaborative dashboards and reports
Weave LLM tracing and debugging
LLM evaluations with scorers
Production monitoring with guardrails
Serverless RL and SFT fine-tuning
Serverless inference for open-source models
CI/CD automations and alerts
CoreWeave Sandboxes for isolated runs
Multi-cloud support (AWS, GCP, Azure)
Local server deployment (Docker)
Automated neural architecture search (NAS)
INT8 and FP16 quantization
Hardware-aware optimization for NVIDIA GPUs
Model compression and pruning
NVIDIA TensorRT integration
Benchmarking and performance profiling
Deployment to cloud, edge, and mobile
Custom training with NAS-driven architectures
Computer vision model optimization
Deci AI Studio for model development
Automatic compilation pipeline for target hardware