Applied Compute Raises $350M in Funding at $3.25 Billion Valuation

Applied Compute, a San Francisco, CA-based developer of custom open-source AI models for enterprises, has raised $350 million in a funding round at a $3.25 billion valuation.

The round was led by Elad Gil, with participation from Kleiner Perkins, Lux Capital, Hanabi Capital, Nvidia, Blackstone, Shopify Ventures, HubSpot Ventures, Diffusion, Definition, Timeless, Layer Global, Neo, Abstract, Nova, Quantum Light, First Harmonic, and Swish.

The company will use the funds to expand its computing capacity, grow its team and accelerate the deployment of its platform among enterprise customers.

What is Applied Compute?

Applied Compute provides a cloud platform that helps developers and businesses build, train and run their own large language models (LLMs).

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The platform offers tools for model training and inference, which is the process of running an AI model to generate responses. The company also has a team of machine learning researchers who help customers with projects such as developing evaluation systems for newly trained models.

One of its key technologies is asynchronous reinforcement learning. This approach allows the data generation and model training components to work at the same time instead of waiting for each other to finish. This can make the model development process more efficient.

Applied Compute also supports self-distillation, a training method that removes the need for separate teacher models to supervise the process.

Its platform includes an AI assistant that helps automate routine research tasks, such as summarising the skills an AI model has developed during training.

How Much Funding Has Applied Compute Raised?

Applied Compute has raised $350 million in its latest funding round at a $3.25 billion valuation.

The company has not disclosed its total funding raised to date or details of previous funding rounds.

Who Invested in Applied Compute’s Funding Round?

The $350 million funding round was led by Elad Gil.

Other participating investors include:

• Kleiner Perkins
• Lux Capital
• Hanabi Capital
• Nvidia
• Blackstone
• Shopify Ventures
• HubSpot Ventures
• Diffusion
• Definition
• Timeless
• Layer Global
• Neo
• Abstract
• Nova
• Quantum Light
• First Harmonic
• Swish

Why the Funding Matters

Applied Compute will use the funding to expand its computing capacity, increase its workforce and accelerate enterprise deployments.

The investment will support the development of its AI infrastructure as more businesses look to build and operate custom models. The company plans to strengthen its training and inference capabilities to support these requirements.

Who founded Applied Compute?

Applied Compute was founded by Linden Li, Yash Patil and Rhythm Garg.

The company is headquartered in San Francisco, California. The source does not specify its founding year.

Market and Business Growth

Applied Compute operates in the AI cloud and infrastructure market, providing tools for enterprises to develop, train and run custom AI models.

Its platform combines model training, inference, reinforcement learning, research support and model routing. These services are designed to help businesses manage more of their AI development and deployment requirements through one platform.

The company has not disclosed customer numbers, revenue figures or other specific business growth metrics.

What Happens Next?

Applied Compute plans to increase its computing capacity, expand its team and accelerate enterprise adoption of its platform.

The company will continue developing its AI training and inference infrastructure to help businesses build and operate custom AI models.

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