HomeLatest ProductsSiMa.ai Ships First Industry Leading Purpose-built Machine Learning SoC

    SiMa.ai Ships First Industry Leading Purpose-built Machine Learning SoC

    SiMa.ai today announced that it has begun shipping the industry’s first purpose-built software-centric Machine Learning System-on-Chip platform for the embedded edge – the MLSoC.

    The $1 trillion global embedded edge market is currently reliant on legacy technology that limits the pace of innovation. Today’s computer vision applications utilizing ML require far too much power, are difficult to deploy and lack scalability. SiMa.ai addresses these shortcomings with its disruptive purpose-built platform which enables Effortless ML deployment and scaling at the edge. Any computer vision application is now possible with push-button ML capability, enabling rapid design iterations in minutes, all at 10x better performance per watt. The SiMa.ai MLSoC Platform offers an unmatched user experience for customers looking to scale and future-proof without the steep learning curve.

    “When we started SiMa.ai 3.5 years ago, we set out to deliver a disruptive 10x performance improvement over alternatives and provide a scalable industry-leading ML experience solving computer vision applications,” said Krishna Rangasayee, CEO and Founder, SiMa.ai. “Today we are delighting customers by delivering on that promise and exceeding their expectations. We are excited to take our very first purpose-built software-centric MLSoC to volume production. This first-time-right success was made possible by a great team, fantastic technology partnerships, and our investors. I would like to thank them all for believing in our mission.”

    “We’ve seen over a dozen edge processing solutions, and have never seen anything approaching the performance and power efficiency of SiMa.ai’s MLSoC platform,” said Karl Freund, Founder and Principal Analyst at Cambrian-AI Research. “Their solution is an order of magnitude faster and more energy efficient. So far, they are blowing past their customer’s requirements by accelerating the entire vision processing pipeline, not just the ML inferencing portion. Early customers are finding it extremely easy and simple to implement SiMa.ai into their current solutions.”

    To provide the highest quality in ML innovation, SiMa.ai has chosen key partners with an industry-leading track record. Today the company has announced partnerships with TSMC, Synopsys, Arm, Allegro, GUC and Arteris. These companies provide first-class technology to align with SiMa.ai’s design methodology.

    ELE Times News
    ELE Times Newshttps://www.eletimes.ai/
    ELE Times provides extensive global coverage of Electronics, Technology, and the Market. In addition to providing in-depth articles, ELE Times attracts the industry’s largest, qualified, and highly engaged audiences, who appreciate our timely, relevant content and popular formats. ELE Times helps you build experience, drive traffic, communicate your contributions to the right audience, generate leads, and market your products favorably.

    Related News

    Must Read

    STMicroelectronics’ new GaN ICs platform for motion control boosts appliance energy ratings

    STMicroelectronics unveiled new smart power components that let home...

    Keysight Hosts AI Thought Leadership Conclave in Bengaluru

     Keysight Technologies, Inc. announced the AI Thought Leadership Conclave, a...

    Government approves 17 projects worth Rs. 7,172 crore under ECMS

    The Ministry of Electronics and IT announced for the...

    BD Soft strengthens cybersecurity offerings for BFSI and Fintech businesses with advanced solutions

    BD Software Distribution Pvt. Ltd. has expanded its Managed...

    Advancing Quantum Computing R&D through Simulation

    Courtesy: Synopsys Even as we push forward into new frontiers...

    Overcoming BEOL Patterning Challenges at the 3-NM Node

    Courtesy: Lam Research ● Controlling critical process parameters is key...

    Driving Innovation with High-Performance but Low-Power Multi-Core MCUs

    Courtesy: Renesas Over the last decade, the number of connected...

    Evolving from IoT to edge AI system development

    Courtesy: Avnet The advancement of machine learning (ML) along with...

    From the grid to the gate: Powering the third energy revolution

    Courtesy: Taylor, Robert, Mannesson, Henrik, Texas Instruments A significant change...

    Rohde & Schwarz India Pvt. Ltd. unveils R&D Centre in New Delhi, India

    Rohde & Schwarz announced the expansion of its Research...