Baseten
Baseten is an inference platform for deploying, serving, and scaling machine learning models in production.
MLOps
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Showing 1-9 of 9 articles
Feature store
A feature store is a centralised data system that stores, serves, discovers, shares, monitors and reuses machine-learning features, separating feature computation from model training and inference so the same…
KAI Scheduler
KAI Scheduler is an open-source Kubernetes scheduler that optimizes the allocation of GPU resources for artificial intelligence and machine learning workloads.
LangSmith
LangSmith is a commercial observability, evaluation, and deployment platform for large language model (LLM) applications and AI agents, developed and operated by LangChain Inc. It provides developers and…
Model deployment
Model deployment is the MLOps process of taking a trained machine learning model and making it available in a production environment so it can serve predictions to applications, users, or downstream systems.
NVIDIA Picasso
NVIDIA Picasso is a cloud-based generative AI foundry from NVIDIA for building, training, and deploying visual generative models that produce images, video, and 3D content from text prompts.
Ray Serve
Ray Serve is a scalable, framework-agnostic model serving library built on top of the Ray (framework) distributed computing system.
Replicate
Replicate is a cloud platform for running, deploying, and sharing machine learning models via a simple API.
Run:ai
Run:ai (legal name Runai Labs Ltd.) is an Israeli software company that developed a Kubernetes-based orchestration and scheduling platform for graphics processing unit (GPU) resources used in artificial…