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Date: 22 May - 24 May 2024 | Venue: West Hall 1, Booth No. 4-56 at Tokyo Big Sight, Japan

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Join Us at AI Expo Tokyo Spring!

 

EdgeCortix is excited to exhibit at the show 22 May - 24 May 2024

 

Key executives from EdgeCortix will be at the show and are eager to meet and discuss our industry leading Edge AI solutions with you. Come by our booth #4-56 in the West Halls at Tokyo Big Sight to see several exciting demonstrations of how you can leverage the EdgeCortix solutions to address your business’s next innovative Edge AI challenge. Please use the links below to get your Free Badge, or Contact Us now for more information.

 

Date: 22 May - 24 May 2024
Venue: Tokyo Big Sight
Booth: West Hall 1, Booth No. 4-56

 

Looking forward to seeing you there!

 

Get Your Free Badge  Contact Us

Watch the video from the event

We will be showcasing our Edge AI technologies at our booth, including:

  • SAKURA AI Accelerator – Discover our cutting-edge AI accelerator, crafted for energy efficiency and optimized for real-time edge processing, achieving Batch=1 performance up to 60 TOPS, while consuming 8W (typical).
  • Dynamic Neural Accelerator (DNA) – Learn about our proprietary runtime-reconfigurable neural processing architecture that achieves near-optimal compute utilization.
  • MERA Software and Compiler Framework – Dive into the world of heterogeneous AI inference acceleration and explore how MERA can quickly facilitate new and existing design deployments.
  • EdgeCortix Leadership – Meet with the EdgeCortix team to learn about our mission to deliver high performance and low latency at the edge, with superior energy efficiency and processing speed, focused on drastically reducing customer operating costs.

Meet EdgeCortix, we look forward to talking to you.

Sakya-Dasgupta-2024

Sakya Dasgupta, PhD.
Founder & Chief
Executive Officer

Tim-Vehling

Tim Vehling
Executive VP 
of Global Sales

EC-Press Relesese-Jeff Grossman

Jeffrey H. Grosman
Executive VP of Marketing
& US Operations

Jeff-Milrod-2024

Jeff Milrod
Vice President of Hardware
Product Engineering

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Business Overview:

Delivering Energy Efficient Edge Based AI Acceleration