Edge AI inference is getting more and more attention as demand grows for AI processing across an increasing number of diverse applications, including those requiring low-power chips in a wide range of consumer and enterprise-class devices. Much of the focus has been on optimizing the neural network processing engine for these… Read More
Neural network models are advancing rapidly and becoming more complex. Application developers using these new models need faster AI inference but typically can’t afford more power, space, or cooling. Researchers have put forth various strategies in efforts to wring out more performance from AI inference architectures,… Read More
Often, AI inference brings to mind more complex applications hungry for more processing power. At the other end of the spectrum, applications like home appliances and doorbell cameras can offer limited AI-enabled features but must be narrowly scoped to keep costs to a minimum. New area-optimized AI inference technology from… Read More
In a recent post, I discussed how Samtec is fueling the AI revolution. In that post, I talked about how smart everything seems to be everywhere, changing the way we work, the way we think about our health and ultimately improving life on the planet. These are lofty statements, but the evidence is growing that the newest wave of applications… Read More
The latest advanced driver-assistance systems (ADAS) like Mercedes’ Drive Pilot and Tesla’s FSD perform SAE Level 3 self-driving, with the driver ready to take back control if the vehicle calls for it. Reaching Level 5 – full, unconditional autonomy – means facing a new class of challenges unsolvable with existing technology… Read More
The chase to add artificial intelligence (AI) into many complex applications is surfacing a new trend. There’s a sense these applications need a lot of AI inference operations, but very few architects can say precisely what those operations will do. Self-driving may be the best example, where improved AI model research and discovery… Read More
Artificial intelligence (AI) is reserved for companies with hordes of data scientists, right? There’s plenty of big problems where heavy-duty AI fits. There’s also a space of smaller, well-explored problems where lighter AI can deliver rapid results. Flex Logix is taking that idea a step further, packaging their InferX X1 edge… Read More
Flex Logix is a unique company. It is one of the few that supplies both FPGA and embedded FPGA technology based on a proprietary programmable interconnect that uses half the transistors and half the metal layers of traditional FPGA interconnect. Their architecture provides some rather significant advantages. I wrote about their… Read More
In April, I covered a new AI inference chip from Flex Logix. Called InferX X1, this part had some very promising performance metrics. Rather than the data center, the chip focused on accelerating AI inference at the edge, where power and form factor are key metrics for success. The initial information on the chip was presented at … Read More
Last week I attended the Linley Fall Processor Conference held in Santa Clara, CA. This blog is the first of three blogs I will be writing based on things I saw and heard at the event.
In April, Flex Logix announced its InferX X1 edge inference co-processor. At that time, Flex Logix announced that the IP would be available and that a chip,… Read More
