The New Frontier Of LLM Inference: Where The Next Tenfold Gains Will Come From

This brute-force scaling approach is slowly fading and giving way to innovations in inference engines rooted in core computer ...
Semiconductor Engineering

Ultra-low-bit LLM Inference Allows AI-PC CPUs And Discrete Client GPUs To Approach High-end GPU-Level (Intel)

A new technical paper titled “Pushing the Envelope of LLM Inference on AI-PC and Intel GPUs” was published by researcher at ...

AI Infrastructure Evolution: How Better Hardware Powers The LLM Era

Running both phases on the same silicon creates inefficiencies, which is why decoupling the two opens the door to new ...
TMCnet

GSI Technology Reports 3-Second Time-to-First-Token for Edge Multimodal LLM Inference on Gemini-II

Using the Gemma-3 12B vision-language model on GSI’s production Gemini-II processor, GSI achieved the 3-second TTFT while ...
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 ...
EDN

Round pegs, square holes: Why GPGPUs are an architectural mismatch for modern LLMs

The saying “round pegs do not fit square holes” persists because it captures a deep engineering reality: inefficiency most ...
Semiconductor Engineering

Four Architectural Opportunities for LLM Inference Hardware (Google)

“Large Language Model (LLM) inference is hard. The autoregressive Decode phase of the underlying Transformer model makes LLM inference fundamentally different from training. Exacerbated by recent AI ...
SDxCentral

DeepSeek looks to offload simple LLM tasks to save billions of parameters

Detailed in a recently published technical paper, the Chinese startup’s Engram concept offloads static knowledge (simple ...

GSI Technology, Inc.: GSI Technology Reports 3-Second Time-to-First-Token for Edge Multimodal LLM Inference on Gemini-II

GSI Technology, Inc. (Nasdaq: GSIT), the inventor of the Associative Processing Unit (APU), a paradigm shift in artificial intelligence (AI) and high-performance ...
Unite.AI

2026 Predictions: From LLM Commoditization to the Age of Agentic Memory

At the start of 2025, I predicted the commoditization of large language models. As token prices collapsed and enterprises ...

Microsoft's Maia 200 promises Blackwell levels of performance for two-thirds the power

Inference-optimized chip 30% cheaper than any other AI silicon on the market today, Azure's Scott Guthrie claims Microsoft on ...