Can AI Really Build Better AI?
…scientific and algorithmic discovery.” It uses LLMs to guide the evolution of solutions, such as optimizing neural-network architectures, data-center scheduling, and chip design . It’s not a fully recursive loop…
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Dell Pro Max 16 Plus with Qualcomm AIC100 Review: Excellent Workstation, Experimental Accelerator
…heading toward GDDR7 and HBM4 on serious AI accelerators. But the deeper issue matters more than memory bandwidth. There are many brilliant chip designs and engineering teams in the industry that understand…
Moore Threads Launches Yangtze AI SoC: 8 Cores Clocked at 2.65 GHz, 50 TOPS NPU, Up To 64 GB LPDDR5X Memory For "AI PC" Laptops & Mini PCs
…core neural processor package, designed for speech/image recognition. The SoC also packs an iGPU which is capable of high-performance 3D rendering, & also offers LLM acceleration, Video Encode & Video Decoding capabilities…
Nvidia Software Pushes MLPerf Inference Benchmarks To New Highs
…He also stressed improvements in TensorRT-LLM, an open library that accelerates LLM inferencing on its GPUs through such capabilities as parallelism techniques and multi-token prediction, which enables language models to…
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Chinese GPU Maker, Innosilicon, Unveils Fantasy 3 GPU With Massive 112 GB VRAM, DX12 & HW-RT Support With CUDA-Compatibility
…The chip will be compatible across Windows, Linux, and Android platforms. According to Innosilicon, the Fantasy 3 GPU will be able to run local 32B/72B LLMs, while 8-card solutions in…
AMD Expands Ryzen AI Embedded P100 for Edge AI
…April 06, 2026 Reliable SHA-256 Through LLM-Aided HLS Dataflow Optimization LLM-driven HLS research is advancing rapidly, enabling pragma tuning, validation, and scalable design exploration through AMD University Program initiatives…
Acing the Test: NVIDIA Turbocharges Generative AI Training in MLPerf Benchmarks
…It helps advance initiatives like NVIDIA DLSS , AI-powered software for state-of-the-art computer graphics and NVIDIA Research projects like ChipNeMo , generative AI tools that help design next-generation GPUs…
Ultra Ethernet and UALink IP solutions scale AI clusters - Semiwiki
…GPUs such as NVIDIA’s H100 are at the reticle limits, meaning the design consumes the largest fabricable die size, even in an advanced process, making adding more functionality on one chip…
Google Announces TPU v8t Sunfish and TPU v8i Zebrafish
…v8t pushes scale-up to 9,600 chips per superpod and scale-out to 134,000+ chips per Virgo fabric. v8i trades SparseCores for collective-acceleration silicon and swaps the 3D torus…
Google Announces TPU 8t Sunfish and TPU 8i Zebrafish
…8t pushes scale-up to 9,600 chips per superpod and scale-out to 134,000+ chips per Virgo fabric. 8i trades SparseCores for collective-acceleration silicon and swaps the 3D torus…