Lattice Blog

There’s a lot of recent buzz around Industry 4.0, a common term used to describe the increasing digitization, automation, and connected computing intelligence that’s emerging in the manufacturing industry. With Industry 4.0, the value and capabilities of cloud computing, the Internet of Things (IoT), secure connectivity, and AI have the potential to come together to bring about smarter, more reliable, and more efficient operations in manufacturing. However, with the rise of Industry...

On-device AI inference capability is expected to reach 60% of all devices by 2024, according to ABI Research. This underscores the rapid speed of AI innovation to take place in the last few years that has required engineers to come up with flexible design models as they transition from the cloud to the edge. The trend is driven by advances in ultra-low latency, security, bandwidth limitations, and privacy. Lattice FPGAs and software solutions help enable acceleration of future models with exist...

The AI/ML revolution continues to gain traction across multiple applications, particularly Edge applications. Edge devices like security cameras, robots, industrial equipment, Client PCs, and even toys can now support AI/ML capabilities that provide users with new capabilities and experiences. According to industry analyst firm ABI Research, the Edge AI chipset market “has experienced strong growth in the past and is expected to continue to grow to US$71 billion by 2024, with a CAGR of 31%...

Lattice Certus-NX FPGAs reinvent the general purpose, low power FPGA by delivering twice the I/O density per mm² of similar competing FPGAs.

How often is low power the determining factor for success? Certainly when designing solutions for AI inferencing in always-on edge devices, the power consumption must be measurable in milliwatts. Think about it: AI at the edge solves real world problems, and is – or very soon will be – everywhere.