Redwood AI Announces Performance Upgrade to Its AI-Powered Platform, Designed to Enable Faster Studies and Expanded CPU Deployment

About this update from Redwood Ai Corp.

[{"type":"text","content":"VANCOUVER, BC / ACCESS Newswire / February 26, 2026 / Redwood AI Corp. (CSE:AIRX)(Frankfurt:Y0N, WKN:A422EZ) ("Redwood" or the "Company") is pleased to announce a performance-focused upgrade (the "Performance Upgrade") to its proprietary AI-powered synthesis prediction model designed to help users find the best way to create any given chemical.","length":376,"tagName":"p"},{"type":"text","content":"The Performance Upgrade, developed by the data science team at Redwood AI, is designed to improve model efficiency and runtime speed, thereby enabling teams to run full studies more quickly while expanding deployment flexibility and reducing ongoing operating costs. The Performance Upgrade was generated as a part of Redwood AI's continued commitment to perpetual model development.","length":387,"tagName":"p"},{"type":"text","content":"A key benefit of the Performance Upgrade is that it will allow Redwood's chemistry synthesis model to run full studies on standard CPU infrastructure, rather than solely on specialized GPU hardware. This is intended to broaden accessibility for organizations that want powerful AI models that can be run without restrictive cloud computing setups and to simplify deployments in environments where GPU availability, procurement, or approvals can create delays, such as systems requiring to be air-gapped for security purposes. Many synthesis support tools are dependent on high intensity externally hosted systems, limiting their use where IP or other restrictions may not be feasible, and where computational costs alone can be expensive. Accordingly, this Performance Upgrade is designed to broaden the Company's platform and make it suitable for potential clients for whom other software is not suitable for their needs.","length":930,"tagName":"p"},{"type":"text","content":"The Performance Upgrade also aligns with recent advances in AI deployment strategies associated with "AI sovereignty," supporting biopharmaceutical organizations that prioritize keeping compute and sensitive workflows within their preferred infrastructure footprint. By enabling effective CPU-based execution, Redwood believes users will have more options to deploy closer to where data resides, whether on-premise, within specific regions, or within tightly controlled environments, while maintaini...

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