Axelera AI Platform Accelerates Edge Application Deployment
By Maurizio Di Paolo Emilio, EETimes (November 21, 2023)
Conventional AI applications frequently require local devices to transmit data to a centralized cloud server for analysis and processing. Although this methodology exhibits efficacy across various scenarios, it’s not without its constraints, encompassing latency, bandwidth consumption, and privacy and security considerations. Relocating AI processing near the location where the data is generated—otherwise known as the “bringing AI to the edge” approach—resolves these concerns through the execution of computations locally on the device or in close proximity to the data source.
In an interview with EE Times, Axelera AI co-founder and CEO Fabrizio Del Maffeo noted recent industry milestones the company achieved, as well as the appointment of a former Arm executive to Axelera’s board of directors.
To read the full article, click here
Related Semiconductor IP
- Flexible Pixel Processor Video IP
- Bluetooth Low Energy 6.0 Digital IP
- Verification IP for Ultra Ethernet (UEC)
- MIPI SWI3S Manager Core IP
- Ultra-low power high dynamic range image sensor
Related News
- Arm Accelerates Edge AI with Latest Generation Ethos-U NPU and New IoT Reference Design Platform
- Elliptic Labs’ AI Platform Now Optimized for Ceva’s NeuPro-Nano NPU – Enabling Smarter Edge Devices
- Launch of BrainChip Developer Hub Accelerates Event-Based AI Innovation on Akida™ Platform with Release of MetaTF 2.13
- Astera Labs Accelerates PCI Express 5.0 System Deployment in Collaboration with Intel and Synopsys
Latest News
- Brite Semiconductor Releases PCIe 4.0 PHY IP
- Perceptia Completes Silicon Characterisation of pPLL03 for GF 22FDX – Report Now Available
- NIST Finalizes ‘Lightweight Cryptography’ Standard to Protect Small Devices
- QuickLogic Appoints Ron Shelton to Board of Directors
- Cadence Accelerates Development of Billion-Gate AI Designs with Innovative Power Analysis Technology Built on NVIDIA