Expedera

“Evolving Inference Processor Software Stacks to Support LLMs,” a Presentation from Expedera

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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… “Evolving Inference Processor Software Stacks […]

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Expedera’s Origin Evolution NPU IP Brings Generative AI to Edge Devices

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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

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“Challenges and Solutions of Moving Vision LLMs to the Edge,” a Presentation from Expedera

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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

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Expedera’s Packet-based AI Processing Architecture: An Introduction

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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

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indie Semiconductor Announces Strategic Investment in AI Processor Leader Expedera

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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

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Expedera NPUs Run Large Language Models Natively on Edge Devices

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Highlights Expedera NPU IP adds native support for LLMs, including stable diffusion Origin NPUs deliver the power-performance profile needed to run LLMs on edge and portable devices SANTA CLARA, Calif., Jan. 8, 2024 /PRNewswire/ — Expedera, Inc, a leading provider of customizable Neural Processing Unit (NPU) semiconductor intellectual property (IP), announced today that its Origin

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AI Silicon IP Provider Expedera Opens R&D Office in Singapore

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Highlights Expedera opens a new Singapore R&D center The company’s fifth development center, with additional locations in Santa Clara (USA), Bath (UK), Shanghai, and Taipei SANTA CLARA, Calif., Oct. 24, 2023 /PRNewswire/ — Expedera Inc, a leading provider of scalable Neural Processing Unit (NPU) semiconductor intellectual property (IP), today announced the opening of its newest R&D

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A Packet-based Architecture For Edge AI Inference

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This blog post was originally published at Expedera’s website. It is reprinted here with the permission of Expedera. Despite significant improvements in throughput, edge AI accelerators (Neural Processing Units, or NPUs) are still often underutilized. Inefficient management of weights and activations leads to fewer available cores utilized for multiply-accumulate (MAC) operations. Edge AI applications frequently

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A Buyers Guide to an NPU

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This blog post was originally published at Expedera’s website. It is reprinted here with the permission of Expedera. Choosing the right inference NPU (Neural Processing Unit) is a critical decision for a chip architect. There’s a lot at stake because the AI landscape constantly changes, and the choices will impact overall product cost, performance, and

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Can Compute-in-memory Bring New Benefits To Artificial Intelligence Inference?

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This blog post was originally published at Expedera’s website. It is reprinted here with the permission of Expedera. Compute-in-memory (CIM) is not necessarily an Artificial Intelligence (AI) solution; rather, it is a memory management solution. CIM could bring advantages to AI processing by speeding up the multiplication operation at the heart of AI model execution.

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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.

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