EnCharge AI Raises $100 Million To Challenge The AI Chip Status Quo With In-Memory Computing.

For decades, AI computing has revolved around the same fundamental bottleneck: transferring massive amounts of data between memory and processors, using both power and time in the process. While businesses like Nvidia and AMD have prospered in this climate, a new breed of chip startups is taking a different approach, one that completely eliminates inefficiency.er. […]

For decades, AI computing has revolved around the same fundamental bottleneck: transferring massive amounts of data between memory and processors, using both power and time in the process. While businesses like Nvidia and AMD have prospered in this climate, a new breed of chip startups is taking a different approach, one that completely eliminates inefficiency.er. EnCharge AI, a Santa Clara-based startup that has just raised $100 million in Series B funding, bringing its total to $144 million. The round was led by Tiger Global, with participation from a long list of investors, including Maverick Silicon, Capital TEN, SIP Global Partners, Zero Infinity Partners, CTBC VC, Vanderbilt University, Morgan Creek Digital, Samsung Ventures, and HH-CTBC. Previous backers like RTX Ventures, Anzu P
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Anshika Mathews
Anshika is the Senior Content Strategist for AIM Research. She holds a keen interest in technology and related policy-making and its impact on society. She can be reached at anshika.mathews@aimresearch.co
25 July 2025 | 583 Park Avenue, New York
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