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Ceremorphic Tapes Out AI Supercomputing Chip on TSMC 5nm Node

Ceremorphic Tapes Out AI Supercomputing Chip on TSMC 5nm Node
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Venkat Mattela , Subhasish Mitra , Computer Science At Stanford University , Ceremorphic Inc , Electrical Engineering , Computer Science , Hierarchical Learning Processor ,

Ceremorphic tapes out AI supercomputing chip on TSMC 5nm node featuring circuit technology

Hyderabad (Telangana) [India], October 18 (ANI/BusinessWire India): Ceremorphic Inc., developer of the most reliable and energy AI supercomputing architecture, announced today that it has successfully taped out its first 5nm chip with its partner TSMC. As the only AI supercomputing chip to solve the high-performance computing needs in reliability, security and power consumption at scale, the Ceremorphic solution delivers the performance required for next-generation applications such as AI model training, HPC, drug discovery and metaverse processing. "Ceremorphic is the first company to tape out an AI supercomputing chip in the advanced 5nm process node, representing not only a significant accomplishment for our company, but also for the India semiconductor industry," said Dr Venkat Mattela, Founder and CEO of Ceremorphic. "The talent pool, expertise and resulting innovation coming from India has once again proven to be world-class and this design achievement positions us ....

Venkat Mattela , Subhasish Mitra , Computer Science At Stanford University , Ceremorphic Inc , Businesswire India , Electrical Engineering , Computer Science , Hierarchical Learning Processor , Hyderabad Telangana India , Ctober 18 Ani Businesswire India Ceremorphic Inc , Eveloper Of The Most Reliable And Energy Ai Supercomputing Architecture , Nnounced Today That It Has Successfully Taped Out Its First 5nm Chip With Partner Tsmc As The Only Ai Supercomputing To Solve High Performance Computing Needs In Reliability , Ecurity And Power Consumption At Scale , He Ceremorphic Solution Delivers The Performance Required For Next Generation Applications Such As Ai Model Training , Rug Discovery And Metaverse Processing Quot Ceremorphic Is The First Company To Tape Out An Ai Supercomputing Chip In Advanced 5nm Process Node , Epresenting Not Onlya Significant Accomplishment For Our Company , Ut Also For The India Semiconductor Industry , Uot Said Dr Venkat Mattela , Ounder And Ceo Of Ceremorphic Quot The Talent Pool , Xpertise And Resulting Innovation Coming From India Has Once Again Proven To Be World Class This Design Achievement Positions Us Well For Our Next Phase Of Growth Expansion Quot With Announcement , He Ai Industry Just Got One Step Closer To Finally Addressing Today 39s Critical Challenges Through Reliable Performance Computing , Uot Said Subhasish Mitra , Rofessor Of Electrical Engineering And Computer Science At Stanford University Quot Congratulations To The Entire Ceremorphic Team For Achieving This Significant Milestone Bringinga New Level Innovation Ai Supercomputing Community Chip Contains Reliable Analog Digital Circuits , Ery High Speed 64gbit , Cie 6 0 And Energy Efficient Connectivity Circuits For System Level Inter Node Communications , Ulti Thread Reliable Processor And Low Power Circuits For Soc Silicon This Hierarchical Learning Hlp Deploys The Right Processing System Optimal Performance Operation Key Features Of Chip Include Following Patented Multi Macro Architecture ,

Ceremorphic CEO Venkat Mattela to Speak at 2022 Linley Spring Processor Conference

Ceremorphic CEO Venkat Mattela to Speak at 2022 Linley Spring Processor Conference
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Venkat Mattela , Santa Clara , Hyatt Regency Hotel , Ceremorphic Inc , Linley Spring Processor , Reliable Performance Computing , Hierarchical Learning Processor ,

Chip Startup Ceremorphic Seeks AI, HPC Edge With New 5nm Design

Chip startup Ceremorphic is building a 5nm processor for AI, high-performance computing and other applications it said will stand out with competitive capabilities for efficiency, reliability and security. ....

Venkat Mattela , San Jose , Hierarchical Learning Processor , Redpine Signals , Silicon Labs , Cpus Gpus ,

Startup Funding: January 2022

Startup Funding: January 2022
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