Graphics Processing Unit – a processor optimized for parallel computations, originally for rendering graphics but now also widely used for AI and data processing.
13 articles
Geopolitics and the battle between GPUs and CPUs is defining the future of 6G and telco economics. The post MWC 2026 Concludes as Telcos Pivot to AI appeared first on EE Times.
SummaryFully homomorphic encryption (FHE) allows computing on encrypted data without decryption, but it’s currently slow on standard CPUs and GPUs.Intel’s Heracles chip accelerates FHE tasks up to 5,000 times faster than top Intel server CPUs.Heracles uses a 3-nanometer FinFET technology and high-bandwidth memory, enabling efficient encrypted computing at scale.Startups and...
HBM4 deal; war's impact on supply chain; U.S. AI framework; GPU smuggling; restart of H200 processors for China; SK hynix's memory prediction; TFLN photonics deal; test and metrology platforms; NoC verification automation; Tesla probe; AI distillation attacks. The post Chip Industry Week In Review appeared first on Semiconductor Engineering.
The rapid proliferation of LLMs and other AI applications, and of high-end GPU platforms that run them, is putting intense pressure on the performance requirements for memory technologies. Designers need to be keenly aware of how to make the most of their memory and controller choices, which can be moving...
Analyzing the CPU, GPU, and LPU chip ratios unveiled at the Nvidia GTC keynote, the impact of the Groq LPX chip on disaggregated decoding, and its potential for speculative decoding in AI inference
This is a sponsored article brought to you by PNY Technologies.In today’s data-driven world, data scientists face mounting challenges in preparing, scaling, and processing massive datasets. Traditional CPU-based systems are no longer sufficient to meet the demands of modern AI and analytics workflows. NVIDIA RTX PROTM 6000 Blackwell Workstation Edition...
Edge, in-sensor AI processors; TMDC-based transistors; DRAM read disturbance threshold; replay-based validation for chiplets; LLM-specific algorithmic attacks; noise in tellurium transistors; FMEDA safety metrics; HW reverse engineering; slowdowns in multi-GPU LLM inference. The post Chip Industry Technical Paper Roundup: Mar. 31 appeared first on Semiconductor Engineering.
A new technical paper, “Characterizing CPU-Induced Slowdowns in Multi-GPU LLM Inference,” was published by the Georgia Institute of Technology. Abstract “Large-scale machine learning workloads increasingly rely on multi-GPU systems, yet their performance is often limited by an overlooked component: the CPU. Through a detailed study of modern large language model...
This is a sponsored article brought to you by General Motors. Visit their new Engineering Blog for more insights.Autonomous driving is one of the most demanding problems in physical AI. An automated system must interpret a chaotic, ever-changing world in real time—navigating uncertainty, predicting human behavior, and operating safely across...
Last week’s Nvidia GTC conference highlighted new chip architectures to power AI. But as the chips become faster and more powerful, the remainder of data center infrastructure is playing catch-up. The power-delivery community is responding: Announcements from Delta, Eaton, and Vertiv showcased new designs for the AI era. Complex and...
The undying thirst for smarter (historically, that means larger) AI models and greater adoption of the ones we already have has led to an explosion in data-center construction projects, unparalleled both in number and scale. Chief among them is Meta’s planned 5-gigawatt data center in Louisiana, called Hyperion, announced in...
Tighter restrictions on DUV litho; Arm-IBM dual-architecture deal; power device trio; Intel takes full control of Irish fab; 1.4nm AI chip; data center heat islands; 300mm fab equipment spending; 67k IC jobs unfilled; HBF wins over GPU; NIST's photonic chip packaging; USC's new memory; virtual process simulation for automotive. The...
GPU Rental Pricing Dashboard Launch