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Frontier model providers focus on building models. Hyperscalers focus on general-purpose cloud. Neither was built to efficiently deliver inference at production scale. Radium exists to close that gap. Radium operates it's own cloud and proprietary cloud architecture - validated by leading research partners MIT, Stanford, UofT and Carnegie Mellon to significantly reduce costs and improve data security. This architectural advantage also translates into lower per token inference rates when compared to Open Ai and Anthropic.

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Alex Ostritsky is the EVP Engineering @ Radium of Radium.

6 people are employed at Radium.

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