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.
Related Semiconductor IP
- RISC-V CPU IP
- AES GCM IP Core
- High Speed Ethernet Quad 10G to 100G PCS
- High Speed Ethernet Gen-2 Quad 100G PCS IP
- High Speed Ethernet 4/2/1-Lane 100G PCS
Related News
- Arm Accelerates Edge AI with Latest Generation Ethos-U NPU and New IoT Reference Design Platform
- Arm Accelerates AI From Cloud to Edge With New PyTorch and ExecuTorch Integrations to Deliver Immediate Performance Improvements for Developers
- Astera Labs Accelerates PCI Express 5.0 System Deployment in Collaboration with Intel and Synopsys
- Cadence Tensilica HiFi IP Accelerates AI Deployment with Support for TensorFlow Lite for Microcontrollers
Latest News
- HPC customer engages Sondrel for high end chip design
- PCI-SIG’s Al Yanes on PCIe 7.0, HPC, and the Future of Interconnects
- Ubitium Debuts First Universal RISC-V Processor to Enable AI at No Additional Cost, as It Raises $3.7M
- Cadence Unveils Arm-Based System Chiplet
- Frontgrade Gaisler Unveils GR716B, a New Standard in Space-Grade Microcontrollers