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OpenAI Launches Foundry as a New Way to Run AI Models at Scale

Foundry is designed for cutting-edge customers who need to run larger workloads for their AI model processing.

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OpenAI, the research lab behind ChatGPT/GPT-3 and DALL-E, has launched a new developer platform called Foundry, according to Techcrunch. Foundry allows customers to run OpenAI’s latest AI models on dedicated compute resources with full control over the model configuration and performance profile.

Foundry is designed for cutting-edge customers who need to run larger workloads with high throughput and low latency. Customers can choose from a range of models, such as GPT-3.5, CLIP, DALL-E, Codex, and more. They can also customize the model parameters, such as temperature, top-k, top-p, frequency penalty, presence penalty, etc.

Tools to Boost Model Performance

Foundry also provides tools for monitoring and optimizing the model performance. Customers can view metrics such as inference time, memory usage, cost per token, etc. They can also use Foundry’s API to integrate the models with their own applications and workflows.

Foundry appears to be currently in private beta, requiring an invitation to access. Customers who are interested in using Foundry can request access through OpenAI’s website. The pricing for Foundry is not yet disclosed but it is expected to be based on the amount of compute resources used by each customer.

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Markus Kasanmascheff
Markus Kasanmascheff
Markus is the founder of WinBuzzer and has been playing with Windows and technology for more than 25 years. He is holding a Master´s degree in International Economics and previously worked as Lead Windows Expert for Softonic.com.