Chinese firms have begun rushing to order Nvidia’s H20 AI chips as the company plans to resume sales to mainland […]
Category: AI infrastructure
Liquid AI Open-Sources LFM2: A New Generation of Edge LLMs
What is included in this article: Performance breakthroughs – 2x faster inference and 3x faster trainingTechnical architecture – Hybrid design […]
AI mania pushes Nvidia to record $4 trillion valuation
On Wednesday, Nvidia became the first company in history to reach $4 trillion market valuation as shares rose more than […]
CMU Researchers Introduce Go-Browse: A Graph-Based Framework for Scalable Web Agent Training
Why Web Agents Struggle with Dynamic Web Interfaces Digital agents designed for web environments aim to automate tasks such as […]
OpenAI signs surprise deal with Google Cloud despite fierce AI rivalry
OpenAI has struck a deal to use Google’s cloud computing infrastructure for AI despite the two companies’ fierce competition in […]
Meta Introduces KernelLLM: An 8B LLM that Translates PyTorch Modules into Efficient Triton GPU Kernels
Meta has introduced KernelLLM, an 8-billion-parameter language model fine-tuned from Llama 3.1 Instruct, aimed at automating the translation of PyTorch […]
This AI paper from DeepSeek-AI Explores How DeepSeek-V3 Delivers High-Performance Language Modeling by Minimizing Hardware Overhead and Maximizing Computational Efficiency
The growth in developing and deploying large language models (LLMs) is closely tied to architectural innovations, large-scale datasets, and hardware […]
Huawei Introduces Pangu Ultra MoE: A 718B-Parameter Sparse Language Model Trained Efficiently on Ascend NPUs Using Simulation-Driven Architecture and System-Level Optimization
Sparse large language models (LLMs) based on the Mixture of Experts (MoE) framework have gained traction for their ability to […]
Google backs Elementl Power to build advanced nuclear sites across America
Google is continuing its support of nuclear energy. Following an agreement with Kairos Power last year, the search giant just […]
Serverless MCP Brings AI-Assisted Debugging to AWS Workflows Within Modern IDEs
Serverless computing has significantly streamlined how developers build and deploy applications on cloud platforms like AWS. However, debugging and managing […]