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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

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

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news.google.com 2026-09-12

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

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

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www.kucoin.com 2026-08-28

Near-memory Dequantization Architecture In Custom HBM for LLM inference (SK hynix) - Semiconductor Engineering

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news.google.com 2026-07-14

NVIDIA Blackwell Sets STAC-AI Record for LLM Inference in Finance | NVIDIA Technical Blog - NVIDIA Developer

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developer.nvidia.com 2026-05-27

NVIDIA's latest Blackwell chip has achieved a significant breakthrough in large language model (LLM) inference performance within the financial sector, setting new records in the STAC-AI benchmark. This benchmark evaluates the end-to-end retrieval-augmented generation (RAG) and LLM inference pipelin

Large Language Models Financial Trading STAC-AI Benchmark NVIDIA Blackwell LLM Inference RAG Pipeline EDGAR Dataset TensorRT LLM

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