Google researchers have revealed that memory and interconnect are the primary bottlenecks for LLM inference, not compute power, as memory bandwidth lags 4.7x behind.

The CIUK 2025 National Supercomputing Challenge winners will go on to represent the UK at the International SuperComputing Conference 2026.

Orange Pi 6 Plus runs RX 470 and WX3100 with external power, allowing Blender CUDA and OBS encoding, helping you unlock real ...

Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...

Hardware Root of Trust in the Quantum Computing Era: How PUF-PQC Solves PPA Challenges for SoCs ...

Trane ® — by Trane Technologies (NYSE: TT), a global climate innovator – has announced the launch of its new DCDA series, the first locally developed Coolant Distribution Unit (CDU) solution ...

AI, a new platform that pairs artificial intelligence with high performance computing to dramatically speed fusion energy simulations and connect computing resources directly to experimental devices ...

The evolution of DDR5 and DDR6 represents a inflexion point in AI system architecture, delivering enhanced memory bandwidth, lower latency, and greater scalability.

See how an 8GB VRAM eGPU runs 1080p with higher presets and FSR on battery, so you can game portably without outlets. 3.5 ...

How does DePIN power next-gen AI? Learn how Decentralized Physical Infrastructure Networks provide the GPUs, sensors, and ...

Abstract: Federated Learning (FL) has emerged as a transformative paradigm in edge computing, enabling decentralized model training across distributed devices while preserving data privacy. Unlike ...

Abstract: Semantic communications prioritize transmitting meaningful information over raw data in communication systems. However, these systems face significant optimization challenges, particularly ...