Together AI Alternatives
Compare 15 together ai alternatives tools to find the right one for your needs
🔧 Tools
Compare and find the best together ai alternatives for your needs
Baseten
A platform for deploying and scaling machine learning models, with a focus on performance and developer experience.
Northflank
A developer platform for building, deploying, and scaling a wide range of workloads, including AI applications, on any cloud.
Modal
A serverless platform that allows developers to run code in the cloud without managing infrastructure, optimized for AI and data-intensive workloads.
RunPod
A cloud platform offering GPU instances, serverless GPUs, and AI endpoints for developing, training, and scaling AI models.
Fireworks AI
A high-performance inference platform for running and fine-tuning open-source generative AI models at scale.
BentoML
An open-source framework for building, shipping, and running AI applications and services at scale.
Replicate
A platform that makes it easy to run and fine-tune open-source machine learning models with a simple API.
Lambda Labs
A cloud provider specializing in on-demand GPU instances and clusters for deep learning and AI.
Anyscale
A fully managed platform for scaling AI and Python applications, built on the open-source Ray framework.
Hugging Face Inference Endpoints
A managed service for easily deploying and scaling models from the Hugging Face Hub as production-ready APIs.
Azure Machine Learning
Microsoft's cloud-based service for the end-to-end machine learning lifecycle, from model development to MLOps.
Cohere
An AI platform providing access to advanced large language models for building enterprise-grade applications.
OctoML
A machine learning deployment platform that automates the optimization and deployment of models for peak performance on any hardware.
Google Cloud Vertex AI
Google's unified platform for managing the entire machine learning lifecycle, from data preparation to model deployment and monitoring.
Amazon SageMaker
A fully managed service from AWS that provides the tools to build, train, and deploy machine learning models at scale.