DTM E58. The Future of AI Chips - Dr. Naveen Verma, Encharge.ai Deep Tech Musings
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- Technology
Naveen Verma, Ph.D., is the Co-founder and CEO of EnCharge AI. At Encharge, he leads a team of engineering veterans from NVIDIA, Intel, Qualcomm, IBM, and AMD who are commercializing a revolutionary AI chip that solves the energy, scalability, and cost constraints of existing AI compute technologies. Naveen spent the last six years leading the cutting-edge research behind EnCharge AI’s core technology as a professor of electrical and computer engineering at Princeton University, where he has done pioneering research in a range of emerging technologies and systems since 2009, including with DARPA funding. His breakthrough, peer-reviewed discoveries in next-generation in-memory computing have been widely recognized and have led to demonstrated step-change increases in performance and efficiency that are the foundation of Encharge AI’s full-stack commercial AI chips.
Links & References:
Naveen Verma- naveen-verma (LinkedIn)
Encharge - encharge.ai, LinkedIn
Pronojit Saha, DTM Podcast - pronojitsaha (LinkedIn), @pronojits (Twitter)
On today’s episode we discuss,
The Inspiring Journey of Encharge.ai: From Founding Story to Breakthrough Innovation
The Problem Encharge is Solving: Why existing chips are not very efficient for handling extreme compute workloads
Solving the Problem from First Principles Thinking: Encharge's breakthrough innovation combining analog+digital
Major Technologies Comprising Encharge's Innovation
How Encharge is Uniquely Positioned: The insight
Can’t NVIDIA Build These Chips?
Naveen Verma, Ph.D., is the Co-founder and CEO of EnCharge AI. At Encharge, he leads a team of engineering veterans from NVIDIA, Intel, Qualcomm, IBM, and AMD who are commercializing a revolutionary AI chip that solves the energy, scalability, and cost constraints of existing AI compute technologies. Naveen spent the last six years leading the cutting-edge research behind EnCharge AI’s core technology as a professor of electrical and computer engineering at Princeton University, where he has done pioneering research in a range of emerging technologies and systems since 2009, including with DARPA funding. His breakthrough, peer-reviewed discoveries in next-generation in-memory computing have been widely recognized and have led to demonstrated step-change increases in performance and efficiency that are the foundation of Encharge AI’s full-stack commercial AI chips.
Links & References:
Naveen Verma- naveen-verma (LinkedIn)
Encharge - encharge.ai, LinkedIn
Pronojit Saha, DTM Podcast - pronojitsaha (LinkedIn), @pronojits (Twitter)
On today’s episode we discuss,
The Inspiring Journey of Encharge.ai: From Founding Story to Breakthrough Innovation
The Problem Encharge is Solving: Why existing chips are not very efficient for handling extreme compute workloads
Solving the Problem from First Principles Thinking: Encharge's breakthrough innovation combining analog+digital
Major Technologies Comprising Encharge's Innovation
How Encharge is Uniquely Positioned: The insight
Can’t NVIDIA Build These Chips?
36 min