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 ...

The Hidden AI Cost Few Leaders Track: How Typos Inflate Your LLM Spend

It sounds trivial, almost too silly to be a line item on a CFO’s dashboard. But in a usage-metered world, sloppy typing is a ...
HotHardware

NVIDIA Boosts DGX Spark Performance And Pushes New Developer Tools at CES 2026

If you haven't heard of NVIDIA's DGX Spark AI developer workstation, maybe you've been living under a rock or on a deserted island with nothing but a volleyball to keep you company. It's one of the ...
Semiconductor Engineering

Impact Of On-Chip SRAM Size And Frequency On Energy Efficiency And Performance of LLM Inference (Uppsala Univ.)

A new technical paper titled “Prefill vs. Decode Bottlenecks: SRAM-Frequency Tradeoffs and the Memory-Bandwidth Ceiling” was published by researchers at Uppsala University. “Energy consumption ...
IEEE

A Weakly-Hybrid Decoding Algorithm for Staircase Codes via Multi-Level Bit Marking

Abstract: Reducing the complexity of soft-decision (SD) decoding algorithm or improving the performance of hard-decision (HD) decoding algorithm becomes an emerging ...
Gizmochina

Xiaomi MiMo-V2-Flash LLM Just Dropped: These Are the Most Interesting Things About It

Xiaomi has unveiled its most advanced open-source large language model to date, called MiMo-V2-Flash, as part of its expanding push into foundation AI. The new model focuses on high-speed performance ...
blockchain

NVIDIA Introduces Skip Softmax for Enhanced LLM Inference Efficiency

NVIDIA's Skip Softmax in TensorRT-LLM offers up to 1.4x faster inference for LLMs by optimizing attention computation, enhancing performance on Hopper and Blackwell architectures. NVIDIA has unveiled ...
www.cs.cmu.edu

TidalDecode: A Fast and Accurate LLM Decoding with Position Persistent Sparse Attention

Large language models (LLMs) have led to significant progress in various NLP tasks, with long-context models becoming more prominent for processing larger inputs. However, the growing size of the ...
InfoQ

NVIDIA Dynamo Addresses Multi-Node LLM Inference Challenges

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this episode, Thomas Betts chats with ...
techxplore

BrainBody-LLM algorithm helps robots mimic human-like planning and movement

Large language models (LLMs), such as the model underpinning the functioning of OpenAI's platform ChatGPT, are now widely used to tackle a wide range of tasks, ranging from sourcing information to the ...