News

Diffusion models are widely used in many AI applications, but research on efficient inference-time scalability, particularly ...
The accepted paper, titled“Turbocharging Vector Databases using Modern SSDs,” was led by Professor Sang-Won Lee's research team at Seoul National University (SNU), and conducted as part of the ...
As someone who has spent the better part of two decades optimizing distributed systems—from early MapReduce clusters to modern microservices architectures—I’ve watched the AI boom with growing concern ...
During his time at UCSB John Bowers has served as director of the Institute for Energy Efficiency (IEE) at UCSB since it was founded in 2008 and is also a Distinguished Professor in the Departments of ...
The award-winning SupremeRAID™ series by Graid Technology is the world's only GPU RAID card specifically designed for NVMe ...
At Flash Memory World 2025, held in Nanjing, Graid Technology Inc. was honored with the "2025 Flash Memory GPU Acceleration ...
The quantum Internet can be a mind-bending, sci-fi sounding concept, but it’s also one that is getting closer, albeit slowly, ...
The new satellite constellation demonstrates next-generation distributed computing with the potential to transform global data operations.
This is especially true when compared to CPUs. However, graphics processing units (GPUs), which also use parallel processing, are less optimized for this task and therefore less efficient.
To become truly embedded and seamless, AI computation must now be distributed—and much of it will take place on device and at the edge. To support this evolution, computation for running AI ...