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Why Nvidia Cancels RTX 50 Super and Delays RTX 60 to 2028

By BSR Admin / February 8, 2026 /

As we navigate the first quarter of 2026, the IT hardware landscape is grappling with a reality few predicted three years ago—though one we recently forecasted in our deep dive into how memory economics and AI are reshaping the graphics market. Today, that analysis has been further verified: we are witnessing a voluntary retreat from…

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The Escalating AI Chip War: Hyperscalers Mount a Challenge to Nvidia’s Crown

By BSR Admin / December 7, 2025 /

Following an explosive report that Google is in advanced, multi-billion dollar talks to sell its seventh-generation TPU, Ironwood, directly to Meta Platforms, the AI hardware landscape has fundamentally shifted. For years, Tensor Processing Units (TPUs) were tightly controlled within Google’s own internal infrastructure or rented only through Google Cloud. This strategic development, which involves Meta…

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CUDA 13.1 Reinvents GPU Development — The Biggest Leap in Two Decades

By BSR Admin / December 6, 2025 /

A Paradigm Shift with CUDA Tile On December 4, 2025, NVIDIA released CUDA Toolkit 13.1, unveiling what the company calls the largest and most comprehensive update to the CUDA platform since its inception. At the heart of this release is the launch of CUDA Tile — a tile-based programming model designed to simplify GPU programming…

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A Guide to NVIDIA’s AI GPU Architectures: Choosing the Right GPU for Training and Inference

By BSR Admin / October 29, 2025 /

1. Summary NVIDIA’s continuous innovation across its GPU architectures, spanning from Volta to the latest Blackwell, has been foundational in propelling advancements in artificial intelligence. These architectures provide the computational backbone for a wide spectrum of AI workloads, from traditional deep learning to the most complex large-scale generative AI models. Each successive generation introduces specialized…

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Nvidia Unveils H200 AI Chip for Enhanced Inference Performance

By BSRAdmin / February 25, 2024 /

– Upgrading H100 to H200 Semiconductor giant Nvidia introduced its latest artificial intelligence chip, the H200, designed to support training and deployment across various AI models. An upgraded version of the H100 chip, the H200 boasts 141GB of memory, focusing on enhancing “inference” tasks. The chip demonstrates a notable improvement of 1.4 to 1.9 times…

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