Ceramic.ai
AI Agent Development Platforms
An AI infrastructure platform optimizing large-scale model training with enhanced efficiency and scalability.
Ceramic.ai is an enterprise-grade AI infrastructure platform designed to optimize the training and deployment of large language models (LLMs). Founded by Anna Patterson, a former Google VP of Engineering, Ceramic.ai addresses challenges in AI model training by offering faster and more efficient systems. The platform enables up to 2.5x faster training speeds compared to current state-of-the-art methods, while reducing overall compute requirements. It supports long-context training and integrates advanced algorithms to enhance model performance, aiming to democratize access to high-performance AI infrastructure for enterprises.
Industry: Technology
Pricing: contact for pricing
Use cases: AI researchers, machine learning engineers, data scientists, enterprise IT professionals
Capabilities: Accelerating the training of large language models with reduced computational costs., Implementing long-context training for enhanced model performance., Optimizing AI infrastructure to improve scalability and efficiency., Enabling enterprises to develop and deploy AI models more effectively.
Tags: AI infrastructure, model training optimization, large language models, long-context training, enterprise AI solutions
- What is the pricing for Ceramic.ai's enterprise plan?
- Does Ceramic.ai have any security certifications like SOC2 Type II?
- What cloud platforms does Ceramic.ai integrate with?
- Can Ceramic.ai train models with 70B+ parameters efficiently?

Ceramic.ai
An AI infrastructure platform optimizing large-scale model training with enhanced efficiency and scalability.
About
Ceramic.ai is an enterprise-grade AI infrastructure platform designed to optimize the training and deployment of large language models (LLMs). Founded by Anna Patterson, a former Google VP of Engineering, Ceramic.ai addresses challenges in AI model training by offering faster and more efficient systems. The platform enables up to 2.5x faster training speeds compared to current state-of-the-art methods, while reducing overall compute requirements. It supports long-context training and integrates advanced algorithms to enhance model performance, aiming to democratize access to high-performance AI infrastructure for enterprises.
Key Capabilities
- Accelerating the training of large language models with reduced computational costs.
- Implementing long-context training for enhanced model performance.
- Optimizing AI infrastructure to improve scalability and efficiency.
- Enabling enterprises to develop and deploy AI models more effectively.
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