IEEE

DualSpar: A Dual-Granularity Memory Framework with Adaptive Sparsity for Efficient LLM Inference

Abstract: The block-based inference engine, powered by noncontiguous key-value (KV) cache management, has emerged as a new paradigm for large language model (LLM) inference due to its efficient memory ...
Forbes

AWS And Microsoft Are Borrowing What Google Already Built

Forbes contributors publish independent expert analyses and insights. I cover emerging technologies with a focus on infrastructure and AI This voice experience is generated by AI. Learn more. This ...
Wall Street Journal

Amazon Announces Inference Chips Deal With Cerebras

Amazon Web Services plans to deploy processors designed by Cerebras inside its data centers, the latest vote of confidence in the startup, which specializes in chips that power artificial-intelligence ...
GitHub

CuInfer — LLM Inference Engine in C++17/CUDA

From-scratch LLM inference engine in C++17/CUDA. Custom kernels, GGUF model loading, quantized inference (Q4/Q8). Runs SmolLM2-135M and Llama 3.2 1B on a 6 GB GPU. - Artemarius/CuInfer ...
GitHub

Missing official FastAPI-based lightweight REST inference example for OpenVINO Python API

OpenVINO provides powerful Python APIs for model conversion and inference, as well as OpenVINO Model Server (OVMS) for production deployments. However, there is currently no official lightweight REST ...
IEEE

Unification Algorithm Implementation for First-Order Logic Inference Engines

Abstract: A unification algorithm is one of the most important parts of a First-Order Logic (FOL) inference engine because it allows for the discovery of substitutions that make two logical ...