In-Memory Computing Chip Is a Processing Breakthrough for On-Device AI Applications
EnCharge AI, a California-based startup, recently launched the EnCharge EN100 artificial intelligence (AI) chip, developed with a scalable analog in-memory computing architecture.
The launch of EN100 came a year after EnCharge AI signed a partnership with the Defense Advanced Research Projects Agency (DARPA) to develop the new chip.
“EN100 represents a fundamental shift in AI computing architecture, rooted in hardware and software innovations that have been de-risked through fundamental research spanning multiple generations of silicon development," said Naveen Verma, CEO, EnCharge AI. "These innovations are now being made available as products for the industry to use, as scalable, programmable AI inference solutions that break through the energy efficiency limits of today’s digital solutions. This means advanced, secure, and personalized AI can run locally, without relying on cloud infrastructure. We hope this will radically expand what you can do with AI.”
Verma is the guest on this first episode of Season 10 of the Aerospace & Defense Technology podcast. He explains how the EN100 delivers up to 200+ TOPS of total processing power for edge computing applications, and why it represents a major breakthrough for on-device AI.
Subscribe to the Aerospace & Defense Technology podcast on Apple Podcasts or Spotify .
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