DATAQUEST

Cadence and Samsung Foundry deepen 2nm and 3D‑IC collaboration to meet surging AI infrastructure and physical AI demand

All of the above from Cadence will be on Samsung Foundry’s second-generation 2nm node for next-generation AI infrastructure ...
Semiconductor Engineering

AI Memory: Enabling The Next Era Of High-Performance Computing

The rapid advancement of artificial intelligence (AI) is driving unprecedented demand for high-performance memory solutions. AI-driven applications are fueling significant year-over-year growth in ...
Forbes

AI’s Memory Crisis Is Here: Don’t Hoard, Optimize

Training AI demands raw GPU compute. Inference demands something else entirely: memory. The GPUs powering today's models carry limited high-bandwidth memory (HBM) before external memory is ...
The Manila Times

Supermicro Broadens AI at the Edge Solutions Portfolio with Intel-Powered Platforms Optimized for Low-Latency Inference and Industrial Deployments

Latency, Power-Efficient Systems Optimized for Retail, Manufacturing, Security, and LogisticsDeploy Larger AI Models at the Edge with Up to 32GB VRAM, Multi-GPU Scalability, and High-Bandwidth Memory ...
Semiconductor Engineering

Optimizing In-Memory AI Accelerators Across Multiple Workloads (KAUST, Compumacy)

Researchers from KAUST and Compumacy for Artificial Intelligence Solutions have released “Joint Hardware-Workload Co-Optimization for In-Memory Computing Accelerators”. “Software-hardware co-design is ...
Hosted on MSN

Windows Project K2 aims to reduce bloatware and optimize memory for gamers

Microsoft is actively working to improve Windows 11's performance, via project 'K2' Project K2 is an effort to reduce bloatware, use of AI, and optimize game performance Microsoft is reportedly ...

Meta reuses retired DDR4 memory to expand server capacity at lower cost

Meta Cuts E-Waste by Repurposing Old Server RAM via CXL Technology ...