"Comprehensive Analysis of Chiplets Market by Processor, Packaging Technology, End-User, and Regions with Market Dynamics and Emerging Technologies Forecast" BOSTON, March 19, 2025 /PRNewswire/ ...
According to the latest study from BCC Research, "Global Chiplets Market" will reach $42.8 billion by the end of 2029, ...
The development contract includes BOS’ s recently introduced Eagle-N (250 TOPS of automotive AI accelerator) and Eagle-A (stand-alone ADAS SoC) in the chiplet system configuration using a high-speed ...
AMD’s upcoming Zen 6 desktop CPUs are rolling out a new chiplet‑based design that pushes the envelope on core counts and efficiency. With these processors, you’re looking at a shift from ...
Santa Clara, Calif., March 8 th, 2017 – Achronix Semiconductor Corporation today announced that it has joined the OpenCAPI TM Consortium, an open development community based on Coherent Accelerator ...
Another future trend predicted by IDTechEx is advanced 3D stacking, whereby interconnectivity and thermal management can be improved Smaller and more compact designs with simplified structures can be ...
AI hardware startup Axelera AI has unveiled its Titania AI inference chiplet. The company announced the hardware following a €61.6 million ($66.9m) grant from the EuroHPC Joint Undertaking’s (EuroHPC ...
In this paper, we propose DiffChip, a chiplet placement algorithm based on automatic differentiation (AD). The proposed framework relies on a differentiable thermal solver that computes the ...
What's new: Axelera AI, the leading provider of purpose-built AI hardware acceleration technology for generative AI and computer vision inference at the edge, unveiled Titaniaâ„¢, a high-performance, ...
The development of this chiplet builds on Axelera AI’s innovative approach to Digital In-Memory Computing (D-IMC) architecture, which provides near-linear scalability from the edge to the cloud.
EuroHPC JU DARE project accelerates development of scalable, energy efficient AI inference Titaniaâ„¢ chiplet for high-performance computing, data centers and more. What's new: Axelera AI ...
EuroHPC JU DARE project accelerates development of scalable, energy efficient AI inference Titaniaâ„¢ chiplet for high-performance computing, data centers and more. As part of the DARE consortium, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback