Baya Systems technology simplifies the development process and reduces the risk, empowering designers to rapidly analyze, develop, optimize and deploy these complex systems. This enables highly energy-efficient data movement in single-die designs that can support over 4 terabyte/second throughput in a complex CPU cluster, culminating in multi-petabyte/second throughput in multi-chiplet designs for high-end AI installations.
With the exponential growth of computing requirements for artificial intelligence, best-in-class silicon vendors have consistently tried to scale performance efficiently by integrating various processors, including CPUs, GPUs, and neural network accelerators, into intelligent compute systems. This has led to a substantial challenge of efficient data movement across these different processors, and increasingly complex system and application software development. Baya Systems focuses on delivering hyper-efficient data movement that can be customized with efficient hardware-based coherency, correctness, and robustness to accelerate these platforms for applications across industries such as AI acceleration, data center, networking infrastructure, automotive and IoT.
“The rapid scaling in compute needed to support AI is bottlenecked by scaling silicon, memory, storage, and the increasingly huge amounts of data; requiring increasingly complex SoCs and chiplets,” said Kevin Krewell, Principal Analyst at TIRIAS Research. “The industry desperately needs a holistic way to design, analyze, and build intelligent fabrics to address this, and Baya seems to have the right ingredients to really drive the market forward.”
Baya’s solution is unique for the following reasons: