OpenAI reveals its first AI processor: Jalapeño
…Jalapeño is an ASIC (Application-Specific Integrated Circuit), meaning it’s designed for a specific purpose: AI inference. With AI inference, models process a user’s request to run an agent like…
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NVIDIA, Telecom Leaders Build AI Grids to Optimize Inference on Distributed Networks
…T‑Mobile is working with NVIDIA to explore edge AI applications using NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, demonstrating how distributed network locations could support emerging AI-RAN and edge…
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HP Z8 Fury G6i Review: One Xeon, up to Four Blackwell GPUs
…While UL Solutions now recommends Procyon for newer application-based testing, PCMark 10 remains a reliable and widely used tool for assessing overall PC performance. In PCMark 10, which measures overall system…
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Announcing the ASUS ProArt GeForce RTX 5090 32GB GDDR7 - Artistry Meets Performance - 2.5 Slot, Dual 115mm Axial Tech Fans, Liquid Metal GPU Cooling, 3D Vapor Chamber, Double Vented Backplates - Coming Soon
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Microsoft Surface Laptop Ultra Debuts with RTX Spark and Mini LED
…notebook aimed at creators, professionals, and advanced users. The unified memory architecture and Blackwell graphics platform are designed to accelerate AI workloads, content creation applications, local inference tasks, and GPU-assisted productivity…
Accelerated X-Ray Analysis for Nanoscale Imaging (XANI) of Novel Materials | NVIDIA Technical Blog
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Nvidia's high-speed AI data center storage servers break cover, touting 2.9 petabytes of storage and extreme PCIe 6.0 performance — Wiwynn shows off SCADA server with GPU-accelerated storage
…of storage space using currently available E3.S drives, and massive I/O performance. The machine is based on Nvidia's Vera CPU , four RTX Pro 6000 Blackwell graphics cards, four PCIe…
Nvidia's RTX Spark could caplitalize where Qualcomm's Arm-based efforts have not — following the expiration of Qualcomm's Windows on Arm deal, Nvidia stands poised to pick up the slack
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NVIDIA's Rubin Ultra reportedly sticking to a dual-die design instead of a four-die plan
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Enhancing Goodput in Large-Scale LLM Training with Nonuniform Tensor Parallelism | NVIDIA Technical Blog
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