The funding round was also backed by a strategic investment from Synopsys, with current investors including Matrix Partners and Intel Capital reinvesting into the company.
According to Baya the funding will support operational growth, accelerating the development and deployment of the company’s software-driven system IP technology portfolio for system-on-chip (SoC) designs and the emerging chiplet economy.
As intelligent computing continues to grow, its demands for AI capabilities, more efficient data movement and compute density are driving the evolution of SoCs into “system-of-chips” models and by using chiplets, this new approach offers scalable performance, optimised power and reduced costs without relying solely on traditional approaches, that are slow in coming and are growing more expensive.
Baya provides modular solutions that are designed to adapt to changing needs and take advantage of these benefits for next-gen designs for AI, automotive and data centre infrastructure - while also complying with emerging standards like Ultra Accelerator Link (UALink) die-to-die interconnect for further accelerated AI scaling.
“Generative AI and multimodal compute have clearly shown that the real challenge has transitioned from compute engines to data movement and connectivity to truly deliver on the performance and efficiency needs of AI acceleration and scale compute infrastructure and communications,” said Andrew Homan, Managing Director at Maverick Silicon. “The team at Baya Systems is uniquely positioned to fill this critical gap in the industry with its WeaverPro, WeaveIP and other solutions.”
To better support AI and other compute-heavy and data-intensive applications, Baya has taken what it describes as a holistic approach to design, to analyse and build complex, highly performant multi-die systems that overcome traditional semiconductors’ bottlenecks of data movement and scalability.
Baya’s foundational WeaverPro software enables continuous refinement of data-driven architecture and micro-architecture development from initial specification through post-silicon tuning, with built-in simulation and workload analysis that ensures the design delivers on KPIs.
The company’s WeaveIP advanced system IP portfolio supports custom and standard protocols, maximises performance and throughput while minimising latency, silicon footprint and power, rapidly delivering complex solutions.
Baya’s management team comprises of former employees from Apple, AMD, Arm, Intel, and Qualcomm, while microprocessor architect Jim Keller is the Chairman of the Board.
“Designing increasingly complex combinations of CPUs, GPUs, neural network accelerators and other processors is a brute-force solution that the industry cannot rely on forever. It simply comes with too many risks: high re-engineering costs, difficulty scaling and potentially hitting the market with sub-par metrics,” said Dr. Sailesh Kumar, founder and CEO, Baya Systems. “Baya’s performance-focused, software-based approach, coupled with our unique transport and modular fabric IP, is designed from the ground up to produce complex multi-die solutions that are correct by construction with a simplified design process.”
Early Baya customers and partners include Tenstorrent, which has licensed Baya technology for its AI and RISC-V chiplet solutions, while a number of other partnerships have yet to be announced, suggesting Baya’s growing traction and global reach.
