US government eases export controls for Nvidia AI chips to UAE

The post UAE investor who bought half of Trump crypto firm gets green light to buy best US AI chips in ‘corrupt deal’ appeared on BitcoinEthereumNews.com. Your support helps us to tell the story From reproductive rights to climate change to Big Tech, The Independent is on the ground when the story is developing. Whether it’s investigating the financials of Elon Musk’s pro-Trump PAC or producing our latest documentary, ‘The A Word’, which shines a light on the American women fighting for reproductive rights, we know how important it is to parse out the facts from the messaging. At such a critical moment in US history, we need reporters on the ground. Your donation allows us to keep sending journalists to speak to both sides of the story. The Independent is trusted by Americans across the entire political spectrum. And unlike many other quality news outlets, we choose not to lock Americans out of our reporting and analysis with paywalls. We believe quality journalism should be available

The post NVIDIA Optimizes JAX LLM Training with Host Offloading appeared on BitcoinEthereumNews.com. Lawrence Jengar Jul 10, 2026 18:51 NVIDIA’s host offloading for JAX LLM training boosts GPU memory efficiency, enabling larger batch sizes and faster throughput. NVIDIA has introduced a new host offloading technique for JAX-based large language model (LLM) training, addressing GPU high-bandwidth memory (HBM) bottlenecks that often limit the scalability of modern AI workloads. Leveraging the latest NVIDIA Blackwell architecture, this approach enables larger batch sizes and faster training throughput by moving selected activations to CPU memory during the forward pass and streaming them back during the backward pass. HBM is frequently a limiting factor in LLM training as model sizes, sequence lengths, and batch sizes grow. NVIDIA’s host offloading solution, detailed in a company blog post published on July 10, 2026, offers an alternative to activation rematerialization,

The US policy shift strengthens UAE tech ties, boosting AI and crypto sectors, but geopolitical risks could reverse these gains if trust falters. The post US eases export controls on advanced chips and drones for UAE in major policy shift appeared first on Crypto Briefing.

The post NVIDIA CUDA Kernel Fusion Boosts GPU Efficiency in AI Workloads appeared on BitcoinEthereumNews.com. Timothy Morano Jul 10, 2026 17:21 NVIDIA’s CUDA kernel fusion cuts memory traffic, kernel launch overhead, and speeds up AI and HPC tasks by up to 3x. Key for MoE and LLM training. NVIDIA (NASDAQ: NVDA) is doubling down on GPU efficiency with its latest advancements in CUDA kernel fusion, a technique that optimizes memory usage and minimizes kernel launch overhead. By combining multiple operations into a single kernel, NVIDIA claims speedups of up to 3x for certain workloads like Mixture-of-Experts (MoE) models and large language model (LLM) training. Kernel fusion works by addressing a longstanding bottleneck in GPU computing: the high memory bandwidth consumption caused by intermediate data transfers. In a typical GPU workload, intermediate results often travel through global memory between separate kernel launches, creating significant latency. Fusion elimi

The post NVIDIA Pushes Hardware-Aware LLM Co-Design for AI Efficiency appeared on BitcoinEthereumNews.com. Rongchai Wang Jul 10, 2026 17:13 NVIDIA highlights hardware-friendly AI model design to optimize LLM performance. Learn how co-design boosts throughput, latency, and cost-efficiency. NVIDIA has detailed its approach to hardware-aware large language model (LLM) design, a strategy that simultaneously optimizes AI model architectures and the hardware they run on. This co-design approach aims to maximize throughput, reduce latency, and lower costs for LLM deployments across data centers and edge devices. The blog post, published on July 10, 2026, provides practical guidelines for aligning AI models with modern GPU capabilities. Co-design focuses on balancing three core metrics for AI performance: accuracy, throughput, and interactivity. For instance, NVIDIA stresses that small design choices, such as aligning model dimensions with GPU tile sizes or choosing wider mod

The eased export rules for the UAE could strengthen US-UAE strategic ties, but also raise concerns over technology diversion risks. The post US eases tech and military export rules for UAE, unlocking license-free AI chip sales appeared first on Crypto Briefing.

The Apple-OpenAI dispute could disrupt AI market dynamics, impacting tech equities and AI-related crypto assets amid potential legal battles. The post Apple claims former employees shared confidential info with OpenAI appeared first on Crypto Briefing.

The post Meta’s Muse Image Tool Boost Helps Stock Hit Best Week In Years appeared on BitcoinEthereumNews.com. Topline Mark Zuckerberg’s net worth increased by $12 billion on Friday as Meta’s stock concluded its best weekly performance in more than two years, following the debut of a new AI model and reported plans for the Facebook parent to develop in-house AI chips. The Facebook parent’s stock saw a positive investor reaction to its new AI model and reported plans for in-house AI chips. Getty Images Key Facts Meta jumped 6% on Friday to just under $670, extending a more than 14% rally for the stock over the week, its best five-session performance since a 20.5% surge the week ending Feb. 2, 2024, according to FactSet data. The latest boost in Meta shares added $12.7 billion to Zuckerberg’s net worth, valued at $229.3 billion, as he ranks No. 6 in the world behind No. 5 Michael Dell ($241.3 billion) and No. 4 Jeff Bezos ($255.2 billion), according to Forbes estimates (for the rest, see