Dharmendra Modha

504 posts

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Dharmendra Modha

Dharmendra Modha

@DharmendraModha

IBM Fellow; Chief Scientist - Brain-inspired Computing; PI, DARPA SyNAPSE. Tweets are my own and do not necessarily represent IBM positions.

San Jose, CA Tham gia Aralık 2011
29 Đang theo dõi1.2K Người theo dõi
Dharmendra Modha
Dharmendra Modha@DharmendraModha·
5/6 The process of mapping an LLM to NorthPole.
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Dharmendra Modha
Dharmendra Modha@DharmendraModha·
1/6 Exciting new results from @IBMResearch demonstrate that for a 3-billion parameter LLM, a compact 2U research prototype system using the IBM AIU NorthPole inference chip delivers an astounding 28,356 tokens/sec of system throughput and sub-1ms/token (per-user) latency.
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Dharmendra Modha
Dharmendra Modha@DharmendraModha·
Inspiration: No worrying or complaining about tides.
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Dharmendra Modha
Dharmendra Modha@DharmendraModha·
Inspiration: Building sand castles, between the tides.
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The Rundown AI
The Rundown AI@TheRundownAI·
IBM's new AI chip, NorthPole, is a groundbreaking processor inspired by the human brain. It excels in tasks like image recognition, surpassing other AI chips in speed and energy efficiency. (Image credit: @rowancheung)
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Defense One
Defense One@DefenseOne·
Microchip breakthrough may reshape the future of AI | IBM’s new NorthPole may enable smarter, more efficient, network-independent devices that may even help the U.S. win the microchip war against China. buff.ly/471hNgl by @deftechpat
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New Scientist
New Scientist@newscientist·
IBM's brain-inspired chip, NorthPole, could be the fastest at running AI yet - and it is 25 times more energy efficient than commercial chips too #Echobox=1697741050" target="_blank" rel="nofollow noopener">newscientist.com/article/239844…
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IBM Research
IBM Research@IBMResearch·
Publishing this week in @ScienceMagazine, IBM Research's newest prototype AI chip, NorthPole, could help us move toward more energy-efficient AI. Learn more: ibm.co/3MdhHdl
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Science Magazine
Science Magazine@ScienceMagazine·
In Science, researchers present NorthPole—a brain-inspired chip architecture that blends computation with memory to process data efficiently at low-energy costs. Learn more: scim.ag/4wc
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