Semiconductor Engineering

Silicon Photonic Interconnected Chiplets With Computational Network And IMC For LLM Inference Acceleration (NUS)

A new technical paper titled “PICNIC: Silicon Photonic Interconnected Chiplets with Computational Network and In-memory Computing for LLM Inference Acceleration” was published by researchers at the ...
Business Wire

Positron AI Secures $51.6 Million in Oversubscribed Series A to Accelerate Inference-Optimized Hardware

RENO, Nev.--(BUSINESS WIRE)--Positron AI, the premier company for American-made semiconductors and inference hardware, today announced the close of a $51.6 million oversubscribed Series A funding ...

Exclusive: Mindbeam touts dramatic performance improvements in CPU-based AI inference

Two-year-old startup Mindbeam AI Inc. today released an open-source artificial intelligence inference framework designed to ...
Virtualization Review

Running AI Natively on Windows 11 Using an eGPU

Even an older workstation-class eGPU like the NVIDIA Quadro P2200 delivers dramatically faster local LLM inference than CPU-only systems, with token-generation rates up to 8x higher. Running LLMs ...
TweakTown

Dell PowerEdge XE9712: NVIDIA GB200 NVL72-based AI GPU cluster for LLM training, inference

Use left and right arrow keys to seek audio. Dell has just unleashed its new PowerEdge XE9712 with NVIDIA GB200 NVL72 AI servers, with 30x faster real-time LLM performance over the H100 AI GPU. Dell ...
SDxCentral

AI inference crisis: Google engineers on why network latency and memory trump compute

Google researchers have warned that large language model (LLM) inference is hitting a wall amid fundamental problems with memory and networking problems, not compute. In a paper authored by ...
Tech Times

GitHub Copilot CLI Adds Pre-Commit Security Scanner: LLM Inference at the Detection Layer

GitHub Copilot security scanning arrives in the terminal with /security-review, an experimental pre-commit slash command that uses LLM inference to flag injection flaws, XSS, path traversal, and weak ...
Semiconductor Engineering

Scheduling Architecture Integrated With M3D BEOL Memories For LLM Inference (Georgia Tech, Samsung)

A new technical paper titled “Architecting Long-Context LLM Acceleration with Packing-Prefetch Scheduler and Ultra-Large Capacity On-Chip Memories” was published by researchers at Georgia Institute of ...