#PagedAttention

83 related articles

Jun 6, 2026·3 min

vLLM Deep Dive: How PagedAttention Enables High-Throughput LLM Inference

Deep dive into vLLM's core technologies for high-throughput LLM inference, including PagedAttention memory management, continuous batching, distributed deployment, and comparisons with TensorRT-LLM.

Jul 27, 2026·3 min

DeepSeek-OCR Deployment & Fine-Tuning in Practice: From vLLM Inference to Unsloth Fine-Tuning

Complete guide to DeepSeek-OCR from vLLM inference deployment and Unsloth model loading to fine-tuning, covering cloud server setup, GPU selection, and code examples — all on a single 4090 GPU.

Jul 27, 2026·3 min

Opus 5 Hands-On: Powerful but Slow — Inference Speed Becomes the New AI Battleground

An AI practitioner tests Opus 5: powerful capabilities but painfully slow inference. Deep analysis of how LLM competition is shifting from intelligence to inference speed.

Jul 27, 2026·3 min

HuggingHack Update: S3 Storage, Dual-Engine Scheduling, and GGUF Inspection Get Major Upgrades

HuggingHack releases major updates with S3/MinIO storage, Ollama + vLLM dual-engine scheduling, GGUF inspection, and local accounts for enterprise-grade local LLM management.

Jul 26, 2026·3 min

DeepSeek-OCR Deployment and Fine-Tuning: A Complete Hands-On Guide

Master the full DeepSeek-OCR deployment and fine-tuning workflow: vLLM inference deployment, efficient Unsloth fine-tuning, dataset preprocessing, LoRA training, validation, and RAG vector database integration.

Jul 25, 2026·3 min

DeepSeek Open-Sources DeepSpec: A Full-Stack Speculative Decoding Library with 60–85% Inference Speedup

DeepSeek open-sources DeepSpec, a full-stack speculative decoding library delivering 60–85% inference speedup and up to 661% throughput gains in production. MIT license, 9 checkpoints, 9 benchmarks.

Jul 24, 2026·6 min

Hands-On with Panel AI On-Premises Deployment: One-Click Enterprise Adoption and Unified Compute Cluster Scheduling

In-depth review of Panel AI v1.1.1: second-level installation, no-public-IP networking, batch compute cluster management. Learn how enterprise AI on-premises deployment barriers are dramatically lowered.

Jul 23, 2026·3 min

LangChain v1.3 Hands-On Tutorial: Deep Dive into Agents, RAG, and Local Model Deployment

Deep dive into LangChain v1.3: compare LangChain, LangGraph, and DeepAgent paradigms, explore RAG pipelines, multi-agent systems, and local LLM deployment for enterprise AI apps.

llmfit: One Command to Check Which Loc…

Jul 22, 2026·2 min

llmfit: One Command to Check Which Local LLMs Your Hardware Can Run

llmfit is an open-source Rust CLI tool that predicts whether your local hardware can run a given LLM — no model download required. Covers hundreds of models and backends like Ollama and llama.cpp.

Jul 22, 2026·3 min

Kimi K3 Hands-On: How a 2.8-Trillion-Parameter Open-Source Model Beat Fable5

A US engineer's live test of Kimi K3: 2.8T parameters, 1M token context, 87% audience vote over Fable5 in game generation. Full report covering benchmarks, speed, and code debugging.

Jul 22, 2026·3 min

V100 GPU Showdown: 4×16G PCIe vs. 2×32G SXM — Which Gives You More Bang for Your Buck?

Benchmarking 4×V100 16G PCIe vs. 2×V100 32G SXM adapter for local LLM inference. Prefill speed, decode speed, power limits, and bandwidth bottlenecks analyzed.

Jul 21, 2026·2 min

Qwen3 Fine-Tuning in Practice: A Complete Guide to Local Deployment and Domain Training

A hands-on guide to LLM fine-tuning: from understanding model weights to local Qwen3 deployment, dataset preparation, and domain-specific training. Build a complete AI engineering skill set.

Jul 19, 2026·4 min

AMD Ryzen AI Halo Real-World Test: Can a Non-Programmer Use Local AI to Write Code?

A non-programmer tests AMD Ryzen AI Halo by deploying local AI models to tackle a real dev task. After testing Ollama and Qwen3, the verdict: AI amplifies developers, it doesn't replace them.

Jul 19, 2026·4 min

The Local AI Inflection Point: Edge Deployment, Multi-Model Collaboration, and the Open-Source Ecosystem

AI Engineer Summit deep dive: Local AI hits a real inflection point, driven by privacy and cost. Multi-model collaboration goes mainstream, NVIDIA + ExoLabs achieve 10x gains, open-source ecosystem accelerates.

Jul 18, 2026·3 min

AI Coding Agents Explosion: CodeWell Goes Open Source, Kimi K3 Launches, Claude Gets Browser Access

CodeWell open-sources a multi-model terminal coding agent, Kimi K3 launches with ultra-long context, MiniMax Code 2.0 rebuilds its Agent architecture, and Claude gets browser access. AI is accelerating from content generation to task execution.

Jul 17, 2026·2 min

vLLM Inference Framework Deep Dive: A Practical Guide to High-Concurrency DeepSeek Deployment

A deep dive into vLLM's five core features — KV cache management, continuous batching, and distributed inference — plus a full setup guide for deploying DeepSeek on a cloud server.

Jul 17, 2026·2 min

AI Task Routing for Cost Reduction: A Framework for Smaller Teams to Evaluate ROI

Task routing is hailed as a silver bullet for LLM cost reduction, but routing strategy design, model training, and self-hosting each carry hidden engineering costs. This deep dive helps smaller teams evaluate ROI and offers a phased implementation path.

Jul 15, 2026·3 min

The Complete LLM Learning Roadmap: From Beginner to Expert — Courses and Resources Recommended

Confused by scattered LLM resources and unclear learning paths? This guide maps a complete roadmap from basics to advanced, covering Karpathy, Stanford CS224N, DeepLearning.AI, Hugging Face, plus RAG, fine-tuning, and Agent deep dives.

MemStitch Zero-Copy Context Bridging: …

Jul 15, 2026·2 min

MemStitch Zero-Copy Context Bridging: How It Achieves 25x TTFT Speedup in vLLM

A deep dive into how MemStitch's zero-copy context bridging achieves 25x TTFT speedup in vLLM. Covers KV Cache optimization, prefill acceleration, and practical developer value.

Jul 14, 2026·2 min

QuantaMind: An Open-Source Tool for Testing AI Agent Reliability Locally

QuantaMind is a free, open-source local AI Agent reliability testing tool using pass^k scoring and deterministic evaluation, supporting Ollama, llama.cpp, vLLM, and more.