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BOOST: Concurrent Host Memory and HBM Access for Faster LLM Inference - News and Statistics - IndexBox

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news.google.com 2026-09-22

TensorRT Edge-LLM Completes the MLPerf Edge Agentic Benchmark 6.4x Faster on Jetson AGX Thor - NVIDIA Developer

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developer.nvidia.com 2026-09-17

How OpenAI Used Its Own LLMs to Design Its Jalapeño Chip - IEEE Spectrum

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spectrum.ieee.org 2026-09-13

OpenAI has reportedly used its own large language models (LLMs) to design its custom chip, Jalapeño, marking a significant step in the application of AI in semiconductor design. This approach leverages AI for architecture optimization, layout automation, and performance prediction, potentially reduc

AI chip Large Language Model Semiconductor Design AI Hardware Chip Architecture OpenAI In-House Chip Machine Learning

Heterogeneous Memory Chiplets Accelerate Multi-Request LLM Inference (NUS) - Semiconductor Engineering

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news.google.com 2026-09-12

One-slot, low-profile Nvidia RTX 3060 12 GB with two monitor outputs breaks cover at Newegg for $496 — bus-powered model looking for a use case in local LLM work - Tom's Hardware

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www.tomshardware.com 2026-09-08

NVIDIA's RTX 3060 12GB low-power variant has appeared on Newegg for $496, sparking interest in its potential for local AI inference. This one-slot, 70W card is designed for compact systems and avoids the need for additional power cables, making it ideal for multi-GPU setups or integration into small

NVIDIA RTX 3060 GPU Low power Local AI LLM Graphics card Newegg

NVIDIA Brings Simplified Local AI Support To NVIDIA GPUs Carrying 24+ GB VRAM While vLLM & & llama.cpp Optimizations Boost Compute By Up To 1.9x - Wccftech

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wccftech.com 2026-09-04

Co-Designing AI Models Using Speculative Decoding for Faster LLM Inference - NVIDIA Developer

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developer.nvidia.com 2026-09-03

NVIDIA's latest developer article explores the use of speculative decoding to accelerate large language model (LLM) inference. This technique leverages a small draft model to predict multiple tokens, which are then verified in parallel by a larger target model, reducing total decoding iterations. Th

AI Model Co-Design Large Language Models Speculative Decoding GPU Optimization LLM Inference Acceleration NVIDIA Technology Model Parallelism Compute-Intensive Tasks

Micron Explores Near-GPU NAND Flash to Run Bigger LLMs - TechPowerUp

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www.techpowerup.com 2026-09-02

Micron is exploring near-GPU NAND flash technology to support larger-scale large language models (LLMs), marking a significant development in AI computing infrastructure. As LLM parameter sizes continue to grow, traditional storage architectures struggle to meet increasing data processing demands. T

Micron NAND Flash GPU LLM Storage Technology Semiconductor Materials AI Chips Data Center Storage

OpenAI, NVIDIA, and Google Diverge in AI Chip Design for LLM Inference - KuCoin

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www.kucoin.com 2026-08-28

Nvidia revenue soars 106%, beats expectations as AI chips stay in high demand - Willmar Radio

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www.willmarradio.com 2026-08-27

Infineon Technologies : to complete limited Share Buyback Program serving fulfillment of obligations under existing employee participation programs - marketscreener.com

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www.marketscreener.com 2026-08-21

NVIDIA offers to help Vietnam build own LLM, expand AI GPU capacity - TNGlobal

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