Search results

Real-time GPU cloud price comparison across 30+ providers.

GPU cluster manager for running and managing LLMs.

Create customizable UI components around your models.

GraphPipe supports deploying, serving, monitoring, or operating AI and machine-learning systems.

Groq supports deploying, serving, monitoring, or operating AI and machine-learning systems.

Guild AI supports deploying, serving, monitoring, or operating AI and machine-learning systems.

A curated list of Large Language Model.

Helicone AI supports deploying, serving, monitoring, or operating AI and machine-learning systems.

Hermes Agent helps build, test, automate, or manage AI agents, prompts, models, and API workflows.

Build, deploy, and scale production ML systems with Hopsworks. The Feature Store and MLOps platform for real-time AI, trusted by teams.

Python materials for the online course on diffusion models by @huggingface.

LLM evals platform for enterprises, providing tools to develop, evaluate, and observe AI systems.

Platform for deploying your Machine Learning to production.

A service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services.

Code for hyperparameter tuning/optimization of machine learning and deep learning algorithms.

Infer.NET provides machine-learning models, research, training resources, or evaluation tools.

Helps teams build, deploy, observe or operate machine-learning systems.

Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.

Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.

Kubernetes-based system for hyperparameter tuning and neural architecture search.

A python package that integrates an LLM copilot inside the keras model development workflow.

Respan unifies LLM observability, evals, prompt optimization, and an AI gateway so teams can ship reliable AI applications.

Kubernetes custom resource definition for serving ML models on arbitrary frameworks.

Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.