Design for AI
Engineering the silicon that powers AI, from accelerator RTL to first-silicon validation
The Impact of Design for AI Across Critical Domains
AI workloads push every part of a chip at once: compute density in the accelerator, bandwidth in memory, and throughput in the interconnect that ties them together. Getting that silicon right the first time takes design and verification discipline across the whole SoC, not just the AI block.
PulseWave Semiconductor brings RTL design, SystemVerilog and UVM verification, FPGA prototyping and post-silicon validation to AI programs — backed by deep protocol experience in PCIe, DDR, NVMe, NoC fabrics and MIPI, and enhanced by our AI/ML methodology expertise.
Infrastructure AI
Infrastructure AI is the hardware behind training and inference at scale: accelerators, the memory that feeds them, and the high-speed fabrics that connect them across a system. These are some of the most complex SoCs being built, and the cost of a respin is measured in quarters.
Learn MoreEdge AI
Edge AI brings inference into devices where power, cost and size are fixed constraints. The challenge is fitting capable acceleration into a low-power SoC alongside cameras, displays and wireless — and proving it works within its power budget.
Learn MorePhysical AI
Physical AI puts intelligence into systems that act in the real world, such as vehicles. Silicon here has to be fast enough to decide in real time and reliable enough to be trusted across temperature, stress and years of service.
Learn MoreDesign for AI Across the Markets We Serve
Data Center
Design and verify the accelerators, memory subsystems and interconnect that AI data centers depend on.
Learn MoreAutomotive
Build reliable, real-time AI silicon validated for the conditions it will face on the road.
Learn MoreNetworking
Deliver the throughput-critical datapaths and fabrics that move AI traffic between systems.
Learn MoreConsumer Electronics
Fit on-device AI into low-power, cost-optimised SoCs for phones, wearables and smart devices.
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