Artificial Intelligence | News | Insights | AiThority
[bsfp-cryptocurrency style=”widget-18″ align=”marquee” columns=”6″ coins=”selected” coins-count=”6″ coins-selected=”BTC,ETH,XRP,LTC,EOS,ADA,XLM,NEO,LTC,EOS,XEM,DASH,USDT,BNB,QTUM,XVG,ONT,ZEC,STEEM” currency=”USD” title=”Cryptocurrency Widget” show_title=”0″ icon=”” scheme=”light” bs-show-desktop=”1″ bs-show-tablet=”1″ bs-show-phone=”1″ custom-css-class=”” custom-id=”” css=”.vc_custom_1523079266073{margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”]

Ceremorphic Introduces Custom Silicon Development for Advanced Nodes Using In-House Technology to Speed Customer HPC Chip Development

  • Owns complex and expensive Intellectual Property (IP) portfolio for nodes 5nm and below

  • Owns software technologies to create end-to-end solutions in the Artificial Intelligence (AI) space

  • Leverages company’s proven expertise in chip design for TSMC 5nm

  • Brings over 5 years of R&D and technology development expertise related to high performance computing systems and backed by over 20 awarded and over 100 filed patents.

Related Posts
1 of 41,009

Ceremorphic, a fabless silicon and system development company,announced an expansion of its business to include a new business model for the high-performance computing (HPC) industry. Leveraging the company’s proven expertise in developing chips in 5nm and below for AI supercomputing and other HPC applications, Ceremorphic will now also offer its IP and design expertise to develop advanced ICs for select customers looking to differentiate their business with customized silicon. For more information, refer to the new “Custom Engineering” page on the Ceremorphic website.

The development cycle for advanced, lower geometry silicon devices is lengthy and costly due to the complex IP and expertise required, even for well-resourced system companies. To solve this problem, Ceremorphic has been working on infrastructure IP for high performance AI supercomputing for many years and has successfully tested its design methodology with a 5nm device tape out in 2022. The company has also developed new methods for connectivity, advanced analog technology and algorithms and AI applications to address HPC development challenges with cost-effective solutions. This includes critical IPs in CXL/PCIe6, machine learning processors, ASIL-D compliant reliable multi-thread processors along with all analog IP needed for advanced nodes.

Recommended AI: “Bitcoin Has No Intrinsic Value”. Then What Gives Bitcoin Value?

“Increasing trends towards developing custom silicon by a system company coupled with the design complexity of silicon in advanced geometries provides an opportunity for capable silicon companies to capture the value for their efforts,” said Subhasish Mitra, Professor of Electrical Engineering and of Computer Science at Stanford University. “Ceremorphic brings unique experience in developing infrastructure technology required for high-performance computing platforms, giving them a significant advantage to capitalize on this market opportunity.”   


“The combination of Ceremorphic’s silicon and software technology with its own product development expertise gives us a unique position to offer this model to high-end system developers in the AI, machine learning and HPC space,” said Dr. Venkat Mattela, Founder and CEO of Ceremorphic. “The drive for this business comes more from viability for a system company to own custom IC to differentiate their product than the cost equation. As a result, we will offer this service to very select customers that want to develop an advanced IC with minimal extra effort from their own product roadmap.”
Recommended AI: Understanding the Role of AI in Gaming
Ceremorphic’s IP is supported by a strong patent portfolio, including over 20 awarded patents, over 100 filed patents, and more than 30 licensed patents. The portfolio covers a range of areas, including system level interconnect, chiplet-to-chiplet interconnect, reliable circuits, multi-thread microprocessor technology, machine learning processors, graph neural processors, low power silicon design, quantum resistant security, programmable logic, low power algorithms, and firmware architectures, all of which are relevant to the development of applications with advanced silicon in 5nm and below.
Recommended AI: Top 10 Countries and Cities by Number of CCTV Cameras

[To share your insights with us, please write to sghosh@martechseries.com]

 

Comments are closed.