EnCharge AI develops scalable and robust analog in-memory computing technology for AI acceleration. The company claims to deliver advances in performance, cost, and sustainability with validated hardware and flexible software.

EnCharge AI

EnCharge AI is a leader in advanced hardware and software systems for AI computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions, at a fraction of the cost. The high-performance architecture is coupled with seamless software and will enable the immense potential of AI to be accessible in power -, energy-, and space-constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems.

VentureTech Alliance

ACVC Partners

AlleyCorp

RTX Ventures

Scout Ventures

Silicon Catalyst Angels

Anzu Partners

The E14 Fund

Alumni Ventures

Schams Ventures

Silicon Catalyst

ICYMI: ZDNET highlights how we're tackling the challenge of running AI models on energy-constrained devices. With an approach that combines analog and digital computing, our chip has massive potential for dramatically improving the energy efficiency of generative AI. 

Learn how we're paving the way for AI deployment at scale in resource-constrained environments. https://lnkd.in/eDKvUxYW

#AIChips #AI #GenAI

Our AI chip is differentiated with exclusive technologies and has scalability demonstrated across five generations of silicon. At EnCharge AI, we’ve built the world’s most efficient AI processor, achieving 150 TOPS/W with an 8-bit MAC energy efficiency (16nm chip) today and projected to achieve 375 TOPS with an 8-bit MAC energy efficiency in 2025+ (5 nm chip).

Learn how we're leading the way in advanced hardware and software to drive forward the next step in AI computing. https://lnkd.in/ezXC_anb

#AI #computing #AIChips

Hear from EnCharge AI CEO Naveen Verma in this  Deep Tech Musings podcast episode hosted by Pronojit Saha. He discusses today's fundamental computing challenges that are pressing the need to develop new technologies, which will pave major advancements for the AI industry. https://lnkd.in/gQdnaR4n

#AI #computing #AIChips

How will the growth of AI will create unprecedented compute? 

Join EnCharge AI Co-Founder and CTO Kailash Gopalakrishnan at Collision Conf in Toronto as he delves into this topic, discussing the founding of EnCharge AI and collaborative efforts needed from the public and private sectors in solving compute. https://bit.ly/3RsB0Sv

#CollisionConf #AI #compute

EnCharge AI CEO Naveen Verma dives into building complex, powerful chips and developing a complete software stack that provides organizations with a comprehensive, collaborative process for pushing the boundaries of computing. 

Learn more from AIM Research. https://bit.ly/42KUJBx

#EnChargeAI #AIChips #software #hardware #computing

With the highest efficiency reported for AI computing to date, EnCharge AI's test chips and hardware can achieve over 150 TOPS/W for 8-b computing (20x the efficiency of top AI chips on the market). 

Explore how we're delivering breakthrough advances in performance, cost, and sustainability with fully validated hardware and flexible software. https://bit.ly/49MhEyc

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Company Name	EnCharge AI
Symbol
MSH ID	COM:ENCHARGEAI
Market	PRIVATE
Sector	Technology
Industry	Artificial Intelligence Hardware
Country	US
Stage
Employee Count	44
Website	enchargeai.com
LinkedIn	encharge-ai
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