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
EnCharge AI Raises $100 Million To Challenge The AI Chip Status Quo With In-Memory Computing.
- By Anshika Mathews
- Published on
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. […]
