VentureBeat

FPGA chips are coming on fast in the race to accelerate AI

AI is hungry, hyperscale AI ravenous. Both can devour processing, electricity, algorithms, and programming schedules. As AI models rapidly get larger and more complex (an estimated 10x a year), a ...
Seeking Alpha

MicroCloud Hologram Inc. Utilizes FPGA to Accelerate Tensor Network Computing to Achieve Quantum Spin Models

SHENZHEN, China, Jan. 16, 2026 /PRNewswire/ -- MicroCloud Hologram Inc. (HOLO), ("HOLO" or the "Company"), a technology service provider, proposed an innovative hardware acceleration technology that ...
NextBigFuture

Tensors are Critical for AI Processing But What Are Tensors? TPUs?

Dan Fleisch briefly explains some vector and tensor concepts from A Student’s Guide to Vectors and Tensors. In the field of machine learning, tensors are used as representations for many applications, ...
Gizmochina

Tensor G5 vs Tensor G4: Benchmarks and specs

Google’s in-house Tensor chips have steadily improved over the years to become a reliable daily driver with solid battery efficiency. Still, performance has often been a sticking point. While previous ...