China has granted conditional approval for the import of Nvidia's high-end AI GPUs, signaling a strategic move to support its major internet firms while protecting domestic semiconductor interests. The approvals arrived during Nvidia CEO Jensen Huang's visit to Beijing, but strict licensing terms and restrictions on state-backed entities suggest a cautious approach. Chinese tech companies await future rounds of permission, and regulators are weighing the need for foreign chips against the goal of boosting local chip production. Leer más →

DeepSeek, in partnership with Peking University, unveiled Engram, a new training method that separates static memory from computation in large language models. By using hashed N‑gram lookups and a context‑aware gating mechanism, Engram reduces reliance on high‑bandwidth memory (HBM), allowing models to operate efficiently on standard GPU memory while scaling parameter counts. Tests on a 27‑billion‑parameter model showed measurable gains across industry benchmarks, and the approach integrates with existing hardware solutions such as Phison’s SSD‑based accelerators and emerging CXL standards. Engram could ease pressure on costly memory hardware and stabilize DRAM price volatility. Leer más →

On an earnings call, Nvidia CEO Jensen Huang brushed aside concerns about an AI bubble, emphasizing the company’s role in powering a broad AI revolution. He highlighted record quarterly sales, a strong outlook, and strategic investments in firms such as OpenAI, CoreWeave and Anthropic. While Wall Street showed mixed reactions, the stock rose modestly after hours. Nvidia continues to dominate the GPU market, with most revenue now coming from data‑center products, and it anticipates continued demand despite broader market scepticism. Leer más →

Nvidia has introduced the DGX Spark, a small‑form‑factor AI system that runs an ARM‑based DGX OS built on Ubuntu Linux and includes the company’s AI software stack. Priced from US $3,999, the Spark offers performance comparable to an RTX 5070 GPU but with 128 GB of unified memory, enabling larger AI models. Nvidia CEO Jensen Huang highlighted the device’s mission by personally delivering a unit to Elon Musk at SpaceX’s Starbase, recalling a similar hand‑off to OpenAI in 2016. Leer más →

A side‑by‑side look at three leading AI accelerators—Huawei's Ascend 950 series, Nvidia's H200 (GH100 Hopper), and AMD's Radeon Instinct MI300 (Aqua Vanjaram). The comparison covers architecture, process technology, transistor counts, die size, memory type and capacity, bandwidth, compute performance across FP8, FP16, FP32 and FP64, and target scenarios such as large‑scale LLM training, inference, and high‑performance computing. Availability timelines differ, with each vendor positioning its chip for data‑center and HPC workloads. Leer más →

Apple used its recent iPhone launch to stress the speed gains of the new A19 Pro processor. The company said the iPhone 17 Pro delivers up to 40% better sustained performance than its predecessor, while the iPhone Air sees a three‑fold increase in peak GPU compute thanks to a neural accelerator on each of its five GPU cores. Hardware chief John Ternus likened the iPhone’s compute power to that of a MacBook Pro, underscoring Apple’s push toward on‑device AI workloads. Leer más →

Gaming laptops are emerging as versatile tools for students, offering the performance needed for demanding coursework while still delivering solid gaming experiences. Modern models balance powerful CPUs and GPUs with lighter designs, multiple ports, and features like touchscreens that aid productivity. While they may weigh more than ultra‑light notebooks and have shorter battery life, their ability to handle video editing, 3D rendering, and other intensive tasks makes them a compelling option for those who want a single device for both school and entertainment. Leer más →

Students are increasingly relying on AI tools such as ChatGPT, Microsoft Copilot, and AI transcription apps to enhance learning. To use these tools effectively, laptops must include dedicated AI hardware, sufficient memory and storage, and modern Wi‑Fi connectivity. The article outlines why neural processing units (NPUs) or dedicated GPUs are critical for on‑device AI, recommends at least 16 GB of RAM and a 256 GB SSD as baseline specifications, and highlights the importance of Wi‑Fi 6, 6E, or 7 for reliable cloud‑based AI access. Following these guidelines helps students avoid lag, storage shortages, and connectivity issues while future‑proofing their devices. Leer más →

NVIDIA announced a $5 billion investment in Intel as part of a new collaboration to jointly develop custom x86 CPUs for PCs and data‑center servers. The partnership will blend NVIDIA’s leading GPU and AI chips with Intel’s processor expertise, manufacturing, and advanced packaging. Intel will build “NVIDIA‑custom x86 CPUs” that integrate NVIDIA’s RTX GPU chiplets, while both CEOs highlighted the strategic value of combining their technologies. The deal marks a rare alliance between the two rivals and could reshape the landscape for high‑performance computing. Leer más →

Nvidia is putting $5 billion into Intel common stock as part of a new partnership that will see the two companies jointly create multiple generations of custom system‑on‑chip products for both PCs and data‑center workloads. Intel will build x86 SoCs that integrate Nvidia RTX GPU chiplets, while the firms will also combine their interconnect technologies such as Nvidia’s NVLink. The collaboration is intended to strengthen both companies against rivals like AMD and to broaden Nvidia’s AI and accelerated‑computing reach. The announcement coincided with a U.S. government stake in Intel and a SoftBank investment, sending Intel’s shares sharply higher. Leer más →

Nvidia and Intel announced a $5 billion partnership that aims to create a new class of integrated CPU‑GPU system‑on‑chip (SoC) for laptops, tablets and other form‑factor‑constrained devices. The collaboration seeks to address a market segment currently dominated by AMD, which offers combined CPU and GPU solutions. Nvidia also said it will become a major customer of Intel server processors, while both companies will explore Intel’s 3D chip‑stacking technology for future products. The deal reflects a strategic move to broaden each company’s reach without abandoning existing technology roadmaps. Leer más →

Apple used its recent iPhone launch to stress the speed gains of the new A19 Pro processor. The company said the iPhone 17 Pro delivers up to 40% better sustained performance than its predecessor, while the iPhone Air sees a three‑fold increase in peak GPU compute thanks to a neural accelerator on each of its five GPU cores. Hardware chief John Ternus likened the iPhone’s compute power to that of a MacBook Pro, underscoring Apple’s push toward on‑device AI workloads. Leer más →

Apple used its recent iPhone launch to stress the speed gains of the new A19 Pro processor. The company said the iPhone 17 Pro delivers up to 40% better sustained performance than its predecessor, while the iPhone Air sees a three‑fold increase in peak GPU compute thanks to a neural accelerator on each of its five GPU cores. Hardware chief John Ternus likened the iPhone’s compute power to that of a MacBook Pro, underscoring Apple’s push toward on‑device AI workloads. Leer más →

Gaming laptops are emerging as versatile tools for students, offering the performance needed for demanding coursework while still delivering solid gaming experiences. Modern models balance powerful CPUs and GPUs with lighter designs, multiple ports, and features like touchscreens that aid productivity. While they may weigh more than ultra‑light notebooks and have shorter battery life, their ability to handle video editing, 3D rendering, and other intensive tasks makes them a compelling option for those who want a single device for both school and entertainment. Leer más →

Gaming laptops are emerging as versatile tools for students, offering the performance needed for demanding coursework while still delivering solid gaming experiences. Modern models balance powerful CPUs and GPUs with lighter designs, multiple ports, and features like touchscreens that aid productivity. While they may weigh more than ultra‑light notebooks and have shorter battery life, their ability to handle video editing, 3D rendering, and other intensive tasks makes them a compelling option for those who want a single device for both school and entertainment. Leer más →

Students are increasingly relying on AI tools such as ChatGPT, Microsoft Copilot, and AI transcription apps to enhance learning. To use these tools effectively, laptops must include dedicated AI hardware, sufficient memory and storage, and modern Wi‑Fi connectivity. The article outlines why neural processing units (NPUs) or dedicated GPUs are critical for on‑device AI, recommends at least 16 GB of RAM and a 256 GB SSD as baseline specifications, and highlights the importance of Wi‑Fi 6, 6E, or 7 for reliable cloud‑based AI access. Following these guidelines helps students avoid lag, storage shortages, and connectivity issues while future‑proofing their devices. Leer más →

Students are increasingly relying on AI tools such as ChatGPT, Microsoft Copilot, and AI transcription apps to enhance learning. To use these tools effectively, laptops must include dedicated AI hardware, sufficient memory and storage, and modern Wi‑Fi connectivity. The article outlines why neural processing units (NPUs) or dedicated GPUs are critical for on‑device AI, recommends at least 16 GB of RAM and a 256 GB SSD as baseline specifications, and highlights the importance of Wi‑Fi 6, 6E, or 7 for reliable cloud‑based AI access. Following these guidelines helps students avoid lag, storage shortages, and connectivity issues while future‑proofing their devices. Leer más →

NVIDIA announced a $5 billion investment in Intel as part of a new collaboration to jointly develop custom x86 CPUs for PCs and data‑center servers. The partnership will blend NVIDIA’s leading GPU and AI chips with Intel’s processor expertise, manufacturing, and advanced packaging. Intel will build “NVIDIA‑custom x86 CPUs” that integrate NVIDIA’s RTX GPU chiplets, while both CEOs highlighted the strategic value of combining their technologies. The deal marks a rare alliance between the two rivals and could reshape the landscape for high‑performance computing. Leer más →

NVIDIA announced a $5 billion investment in Intel as part of a new collaboration to jointly develop custom x86 CPUs for PCs and data‑center servers. The partnership will blend NVIDIA’s leading GPU and AI chips with Intel’s processor expertise, manufacturing, and advanced packaging. Intel will build “NVIDIA‑custom x86 CPUs” that integrate NVIDIA’s RTX GPU chiplets, while both CEOs highlighted the strategic value of combining their technologies. The deal marks a rare alliance between the two rivals and could reshape the landscape for high‑performance computing. Leer más →

Nvidia is putting $5 billion into Intel common stock as part of a new partnership that will see the two companies jointly create multiple generations of custom system‑on‑chip products for both PCs and data‑center workloads. Intel will build x86 SoCs that integrate Nvidia RTX GPU chiplets, while the firms will also combine their interconnect technologies such as Nvidia’s NVLink. The collaboration is intended to strengthen both companies against rivals like AMD and to broaden Nvidia’s AI and accelerated‑computing reach. The announcement coincided with a U.S. government stake in Intel and a SoftBank investment, sending Intel’s shares sharply higher. Leer más →