FedML provides solutions for federated learning, focusing on scalability and cost-effectiveness.

FedML

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Co-Founder & CTO

Chaoyang He

Silicon Valley Machine Learning Companies

California Startups Founded in 2022

Artificial Intelligence (AI) Companies with Seed Funding (Top 10K)

Silicon Valley Companies With Fewer Than 100 Employees (Top 10K)

FEDML Nexus AI® (https://nexus.fedml.ai) is a next-generation cloud platform that enables developers and enterprises to easily, economically, and securely build, deploy, and monetize their large language models (LLMs) and other generative AI models. It provides holistic support with a large-scale distributed GPU cloud (multi-cloud and multi-provider), high-performance ML libraries, user-friendly AIOps, and LLM and AI Agent studios.

Seed Round - FEDML

Camford Capital

Pre Seed Round - FEDML

Palo Alto

California

United States

North America

FEDML

FEDML Empowers On-Premise AI Innovation at DENSO

FEDML Nexus AI: The Next-Gen Cloud Services for LLMs and Generative AI

FedML Secures $6 Million to Unleash “Collaborative AI” for Large-Scale AI Training, Deployment and Customization

A cloud service for launching complex model training, deployment, and federated learning on decentralized GPUs, multi-clouds, edge servers, and smartphones.

Hosting and serving models with support for autoscaling across clouds, manual scaling, model versioning updates, logging, and system monitoring.

An API similar to OpenAI Assistants API but customizable with your own LLM or vector database for responding to user queries.

Supports serverless AI jobs with economical GPU resources for training, fine-tuning, or federated learning without complex environment setup.

Provides a fully managed GPU cluster with features like GPU job scheduling, training, deployment, experimental tracking, and monitoring.

A platform for model owners to monetize their models by serving them as APIs and earning from user calls.

Philippines

Asia

India

Indonesia

Brazil

South America

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