Baya Systems Chooses AdoreSys as Partner to Expand Semiconductor IP Availability Across China and Asia-Pacific
Baya Systems Chooses AdoreSys as Partner to Expand Semiconductor IP Availability Across China and Asia-Pacific
Baya Systems Expands to Japan to Support Next-Generation AI Semiconductor Design
Baya Systems Expands to Japan to Support Next-Generation AI Semiconductor Design
Episode 11: Breaking the Memory Wall: How New Memory Architectures are Reshaping AI Inference
Episode 11: Breaking the Memory Wall: How New Memory Architectures are Reshaping AI Inference
Industry Challenge
Modern systems are no longer limited by compute power.
They are limited by how efficiently data moves across
increasingly complex architectures.
Baya's Solution
A unified, software-defined approach to designing and implementing scalable, efficient Network-on-Chip (NoC) fabrics for modern SoCs and chiplet systems
Predictable, high-bandwidth performance from single SoCs to multi-chiplet systems.
Model, analyze and optimize connectivity early to reduce risk and accelerate design closure.
Adapt NoC topology, protocols, and architecture to evolving system requirements.
Coherent and non-coherent traffic with optimized power, area, and cost.
Products
Model, analyze, and optimize system architectures using real workloads to ensure predictable performance before implementation.
System-level modeling and simulation
Correct-by-construction design with early validation
Data-driven optimization of fabric and memory architectures
Deploy high-performance, chiplet-ready fabrics with a unified transport architecture optimized for efficiency, scalability, and real-world workloads.
Protocol-agnostic, scalable fabric architecture
Coherent, non-coherent, and switch fabric communication
Optimized for performance, efficiency, and silicon footprint
Our Reach
We address the system-level challenges of modern computing where data movement, scale, and predictability define performance across industries.
Scaling AI workloads demand predictable latency, massive bandwidth, and efficient system coordination.
Disaggregated systems require flexible fabrics that evolve with standards and long product lifecycles.
AI performance is limited by data movement. Modern accelerators need fabrics built for scale and coordination.
Automotive SoCs demand deterministic behavior, safety, and scalability across heterogeneous systems.
Edge intelligence is moving decision-making closer to sensors, demanding low-latency, power-efficient data movement across the system.
Partner Ecosystem
Careers
