This blog post was originally published at Expedera’s website. It is reprinted here with the permission of Expedera. Cloud AI enables features like voice assistants and recommendations via centralized data centers, but it relies on consistent network connectivity, which often fails in real-world conditions. Edge-native AI shifts inference to devices such as phones, cars, and sensors, […]
How To Start Building Edge-Native AI Read More +
Athish Rahul Rao, Staff Software Engineer at Expedera presents “From Compute-Bound to Memory-Bound: Edge AI Architectures for VLMs” at the May 2026 Embedded Vision Summit. Today’s edge AI hardware was built for CNNs, but vision language models (VLMs) have completely different bottlenecks—especially in safety-critical, latency-sensitive applications like in-cabin automotive intelligence.… “From Compute-Bound to Memory-Bound: Edge
This blog post was originally published at Expedera’s website. It is reprinted here with the permission of Expedera. As vision-centric large language models move on-device, performance measured in raw TOPS is no longer enough. Architectures need to be built around real workloads, memory behavior, and sustained utilization, especially at the edge. Vision LLMs are changing
Why Vision LLMs Force A Rethink Of Edge AI Hardware Read More +
Intel, Expedera, Synaptics, ENERZAi, Visionary.ai, SiMa.ai, Nota AI, John Deere and Starkey Take Honors April 20, 2026 SANTA CLARA, CA, UNITED STATES, /EINPresswire.com/ — The Edge AI and Vision Alliance today announced the 2026 winners of its Edge AI and Vision Product of the Year Awards and AI Innovation Awards. The Product of the
Edge AI and Vision Alliance Announces 2026 Product Award Winners Read More +
Expedera’s Origin Evolution NPU IP has been awarded the 2026 Edge AI and Vision Product of the Year Award in the Edge AI Processors IP category. Origin Evolution is a unique IP, specifically designed for the evolving needs of LLMs and VLMs at the edge while maintaining full compatibility with popular legacy networks like CNNs
Ramteja Tadishetti, Principal Software Engineer at Expedera, presents the “Evolving Inference Processor Software Stacks to Support LLMs” tutorial at the May 2025 Embedded Vision Summit. As large language models (LLMs) and vision-language models (VLMs) have quickly become important for edge applications from smartphones to automobiles, chipmakers and IP providers have struggled with how to adapt
Origin Evolution NPU IP uses Expedera’s unique packet-based architecture to achieve unprecedented NPU efficiency. Highlights Expedera launches its Origin Evolution™ NPU IP, bringing hardware acceleration to meet the computational demands of running LLMs on resource-constrained edge devices. New purpose-built hardware and software architecture runs LLMs and traditional neural networks with ultra-efficient PPA, providing fully scalable
Expedera’s Origin Evolution NPU IP Brings Generative AI to Edge Devices Read More +
Costas Calamvokis, Distinguished Engineer at Expedera, presents the “Challenges and Solutions of Moving Vision LLMs to the Edge” tutorial at the May 2024 Embedded Vision Summit. OEMs, brands and cloud providers want to move LLMs to the edge, especially for vision applications. What are the benefits and challenges of doing so? In this talk, Calamvokis
This blog post was originally published at Expedera’s website. It is reprinted here with the permission of Expedera. Most NPUs available today are not actually optimized for AI processing. Rather, they are variations of former CPU, GPU, or DSP designs. Every neural network has varying processing and memory requirements and offers unique processing challenges that
Expedera’s Packet-based AI Processing Architecture: An Introduction Read More +
Partnership Capitalizes on Expedera’s Breakthrough AI Capabilities in Support of indie’s ADAS Portfolio Leverages indie’s Multi-modal Sensing Technology and Expedera’s Scalable NPU IP Yields Class-leading Edge AI Performance at Ultra-low Power and Low Latency March 20, 2024 04:05 PM Eastern Daylight Time–ALISO VIEJO, Calif. & SANTA CLARA, Calif.–(BUSINESS WIRE)–indie Semiconductor, Inc. (Nasdaq: INDI), an Autotech
indie Semiconductor Announces Strategic Investment in AI Processor Leader Expedera Read More +
Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.
Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596
