Custom LLM & Enterprise AI Training

Anyscale

San Francisco, United States

Anyscale provides the managed Ray platform for distributed AI training, fine-tuning LLMs, and scaling ML workloads, enabling enterprises to train custom models efficiently on cloud infrastructure.

Cohere

Toronto, Canada

Cohere builds enterprise NLP AI with a focus on security, customization, and deployment flexibility. Organizations use Cohere to fine-tune and deploy large language models on private cloud or on-premises infrastructure.

Hugging Face Enterprise

New York, United States

Hugging Face Enterprise provides private model hosting, custom LLM fine-tuning infrastructure, and enterprise AI deployment tools, serving thousands of organizations building proprietary AI models.

Predibase

San Francisco, United States

Predibase offers a declarative ML platform for fine-tuning large language models with LoRA and PEFT techniques, enabling enterprises to build specialized AI models at a fraction of full training costs.

Scale AI

San Francisco, United States

Scale AI provides data infrastructure for AI applications, offering high-quality training data, RLHF services, and enterprise AI model evaluation for Fortune 500 companies and government agencies building custom LLMs.

Snorkel AI

Redwood City, United States

Snorkel AI specializes in programmatic training data development and LLM customization, helping enterprises build high-quality labeled datasets and fine-tuned models without extensive manual annotation.

Together AI

San Francisco, United States

Together AI offers a cloud platform for fine-tuning, training, and running open-source large language models at scale, providing enterprises with cost-effective infrastructure for building custom AI applications.

Weights & Biases

San Francisco, United States

Weights & Biases provides the MLOps platform for AI model training, fine-tuning, and evaluation, used by over 1,000 companies to manage custom LLM experiments, track performance, and collaborate on model development.