Expedera

www.expedera.com

Expedera provides scalable neural engine semiconductor IP that enables major improvements in performance, power, and latency while reducing cost and complexity in AI inference applications. Third-party silicon validated and shipped in more than 10M customer devices, Expedera’s solutions produce superior performance and are scalable to a wide range of applications from edge nodes and smartphones to automotive. Expedera’s Origin™ Neural Processing Unit IP solutions are easily integrated, readily scalable, and customized to unique use cases and application requirements. The company is headquartered in Santa Clara, California, with engineering and sales offices around the globe.

Recent Content by Company

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

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… “Challenges and Solutions of Moving […]

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

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 […]

indie Semiconductor Announces Strategic Investment in AI Processor Leader Expedera

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 […]

Expedera NPUs Run Large Language Models Natively on Edge Devices

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 […]

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

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 […]

A Packet-based Architecture For Edge AI Inference

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 […]

A Buyers Guide to an NPU

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 […]

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

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. […]

Expedera Announces LittleNPU AI Processors for Always-sensing Camera Applications

Highlights Specialized NPU IP makes it easier for device makers to implement feature-rich, always-sensing camera systems. A dedicated processing solution addresses the power and privacy concerns of always-sensing camera deployments. Santa Clara, California, July 18, 2023—Expedera Inc, a leading provider of scalable Neural Processing Unit (NPU) semiconductor intellectual property (IP), today announced the availability of […]

Expedera Expands Global Footprint with Its First European Development Center

Highlights Expedera opens its first European regional engineering development center in the UK The company’s fourth development center focused on edge AI inference with locations in Santa Clara (USA), Bath (UK), Shanghai and Taipei Santa Clara, California, June 27, 2023—Expedera Inc, a leading provider of scalable Neural Processing Unit (NPU) semiconductor intellectual property (IP), today […]

“Using a Neural Processor for Always-sensing Cameras,” a Presentation from Expedera

Sharad Chole, Chief Scientist and Co-founder of Expedera, presents the “Using a Neural Processor for Always-sensing Cameras” tutorial at the May 2023 Embedded Vision Summit. Always-sensing cameras are becoming a common AI-enabled feature of consumer devices, much like the always-listening Siri or Google assistants. They can enable a more natural and seamless user experience, such […]

Sometimes Less is More—Introducing the New Origin E1 Edge AI Processor

All neural networks have similar components, including neurons, synapses, weights, biases, and functions. But each network has unique requirements based on the number of operations, weights, and activations that must be processed. This is apparent when comparing popular networks, as shown in the chart below. Still, in the initial wave of edge AI deployments, many […]

Measuring NPU Performance

This blog post was originally published at Expedera’s website. It is reprinted here with the permission of Expedera. There is a lot more to understanding the capabilities of an AI engine than TOPS per watt. A rather arbitrary measure of the number of operations of an engine per unit of power, this metric completely misses […]

“A Novel Packet-based Accelerator for Resource-Constrained Edge Devices,” a Presentation from Expedera

Sharad Chole, Chief Scientist and Co-founder of Expedera, presents the “Novel Packet-based Accelerator for Resource-Constrained Edge Devices” tutorial at the May 2022 Embedded Vision Summit. As AI applications move from cloud platforms into edge devices, processor designers are increasingly incorporating hardware accelerators for real-time AI processing. These accelerators must meet tight cost, bandwidth and power […]

Expedera Hears You: Wearables Need Low Power AI

In the short time since emerging from stealth mode, Expedera has quickly become known as the Artificial Intelligence (AI) Inference IP company that delivers the best performance per watt and per area. Our Origin product family scales to 128 TOPS and addresses applications from the edge to automotive to the data center and beyond. We’ve […]

Expedera Announces First Production Shipments of Its Deep Learning Accelerator IP in a Consumer Device

Highlights: A global consumer device maker has announced availability of a new product that uses Expedera’s Artificial Intelligence (AI) accelerator Expedera was selected because its IP outperformed alternative solutions to enable on-device 4K video low light denoising Santa Clara, California, March 1, 2022—Expedera Inc, a leading provider of scalable Deep Learning Accelerator (DLA) semiconductor intellectual […]

Expedera Eyes Computer Vision Alliance

I have a visceral memory of sitting around a roaring campfire one night in Yosemite years ago. The memory is vivid because at a certain point, I turned away from the campfire and looked into the surrounding darkness only to see the eyes of a pack of coyotes patiently watching from every direction. This experience […]

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