Expedera will be at CES -- contact us at [email protected] to schedule a visit!
Expedera Inc.
Semiconductors
Santa Clara, California 2,559 followers
Artificial Intelligence Inference IP with unrivaled performance/power and performance/area efficiencies
About us
Expedera provides customizable neural engine semiconductor IP that dramatically improves performance, power, and latency while reducing cost and complexity in edge AI inference applications. Successfully deployed in well over 10 million consumer devices, Expedera’s Origin Neural Processing Unit (NPU) solutions are scalable and produce superior results in applications ranging from edge nodes and smartphones to automotive. The platform includes an easy-to-use TVM-based software stack that allows the importing of trained networks, provides various quantization options, automatic completion, compilation, estimator, and profiling tools, and supports multi-job APIs. Headquartered in Santa Clara, California, the company has engineering development centers and customer support offices in the United Kingdom, India, China, Japan, Taiwan, and Singapore.
- Website
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https://www.expedera.com
External link for Expedera Inc.
- Industry
- Semiconductors
- Company size
- 51-200 employees
- Headquarters
- Santa Clara, California
- Type
- Privately Held
- Founded
- 2018
- Specialties
- AI Accelerator IP, NPU, Nueral Processing Unit, AI Inference, and AI Inference IP
Products
Locations
Employees at Expedera Inc.
Updates
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BLOG ALERT: Small Language Models: A Solution To Language Model Deployment At The Edge? https://lnkd.in/gAMrWfNm
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Semiconductor Engineering's Bryon Moyer recently explored why in-memory compute hasn't achieved commercial success, and what it's prospects for the future might be. Expedera Inc.'s Sharad Chole and Paul Karazuba comment. https://lnkd.in/erRiMFmw
Is In-Memory Compute Still Alive?
https://semiengineering.com
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ICYMI: Before generative AI burst onto the scene, no one predicted how much energy would be needed to power AI systems. Those numbers are just starting to come into focus, and so is the urgency about how to sustain it all. Semiconductor Engineering recently explored this topic, with comments from Expedera Inc.'s co-founder and chief scientist Sharad Chole. https://lnkd.in/g_C5-Mnp
Managing The Huge Power Demands Of AI Everywhere
https://semiengineering.com
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As AI has taken the semiconductor world by storm, one key barrier to success for many companies is sourcing engineering talent. Expedera Inc.'s unique method of recruiting, onboarding, and growing talent is discussed in Elizabeth Allan's recent Semiconductor Engineering article.
Design and AI companies are using a range of tools to help graduates become productive more quickly. Some are feeding their requirements directly to university. By Elizabeth Allan. https://lnkd.in/deMZcQxN #semiconductor #workforce #EDA Ansys Arm Axiomise Cadence Expedera Inc. Siemens EDA (Siemens Digital Industries Software) Michael Philippi Khaled Benkrid, PhD CEng MBA Honorary Professor Monique Williams-Lesser Paul Karazuba Ansys Learning Franchon Warmack King's College London Synopsys Inc Susan Coleman Cadence Academic Network Portland State University Queen's University
Chip Companies Play Bigger Role In Shaping University Curricula
https://semiengineering.com
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Expedera will be attending #CES2025, meeting with customers, investors, and interested parties about our market-leading, unique packet-based NPU (along with a few surprises). To book time with us, message us at [email protected]
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New blog alert: "Small Language Models: A Solution To Language Model Deployment At The Edge?" Expedera explores the emergence of small language models as a way to bridge the memory gap in edge devices. https://lnkd.in/gAMrWfNm
Small Language Models: A Solution To Language Model Deployment At The Edge?
https://semiengineering.com
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Before generative AI burst onto the scene, no one predicted how much energy would be needed to power AI systems. Those numbers are just starting to come into focus, and so is the urgency about how to sustain it all. Semiconductor Engineering' Ann Mutschler recently explored this topic, with comments from Expedera Inc.'s co-founder and chief scientist Sharad Chole. https://lnkd.in/g_C5-Mnp
Managing The Huge Power Demands Of AI Everywhere
https://semiengineering.com
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AI is all about data, and the representation of the data matters strongly. But after focusing primarily on 8-bit integers and 32‑bit floating-point numbers, the industry is now looking at new formats. In a Semiconductor Engineering report, Expedera Inc.'s Prem Santh T. comments on how new AI data types are emerging. https://lnkd.in/g_nDMj3F
New AI Data Types Emerge
https://semiengineering.com
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ICYMI: "Ask the Experts: AI at the Edge" The rapid evolution of AI is transforming edge computing, and Expedera is at the forefront of this. In the latest episode of Rambus' Ask the Experts series, Expedera co-founder and chief scientist Sharad Chole shares his insights on the challenges and opportunities of deploying AI inference workloads at the edge. Included in this webinar is a discussion about: * The Exponential Growth in AI Model Complexity * Overcoming Challenges in Edge AI: Memory and Bandwidth * The Road Ahead for AI at the Edge The webinar concludes by outlining the critical challenges for AI hardware, particularly the need for efficient memory and bandwidth management for training and inference. https://lnkd.in/gQFbMSDH
Ask the Experts: AI at the Edge
https://www.youtube.com/