#VRAM usage

344 related articles

Jun 25, 2026·2 min

Open-Source Models in Real-World Android Development Testing: 50% Task Completion Rate Matches Previous-Gen Proprietary Models

Google Android Bench shows frontier open-source models solve 50-60% of Android dev tasks. Mid-size models like Gemma 4 run locally with just 20GB RAM.

Jun 24, 2026·2 min

Gemma 4 12B Released: An Open-Source Lightweight Model That Runs Locally on 16GB VRAM

Google releases Gemma 4 12B open-source model with 12B parameters that runs locally on 16GB VRAM laptops. Licensed under Apache 2.0 for commercial use, with 150M+ total Gemma downloads.

Jun 23, 2026·3 min

NVIDIA ACE SDK: On-Device AI Inference for Intelligent Game NPC Companions

Deep dive into NVIDIA ACE Game Agent SDK's integration with Unreal Engine 5, exploring how on-device AI inference enables low-latency, privacy-safe intelligent NPC dialogue and behavior.

Jun 23, 2026·2 min

Free Full-Power GPT on AI Aggregation Platforms? The Risks and Truth Behind Shared Accounts

Deep analysis of AI aggregation platforms promoted on Bilibili, exposing privacy leaks and legal risks of shared account pools for free GPT and Claude access, plus safe alternatives like OpenRouter and DeepSeek.

Jun 22, 2026·4 min

DeepSeek + Resonix: A Low-Cost AI Coding Solution — 150 Million Tokens for Just $1.10

Real-world test: DeepSeek API + Resonix coding tool consumed 150M tokens for just $1.10. Deep dive into DeepSeek pricing, Resonix's 95% cache hit rate, and honest comparison with GPT models.

Jun 20, 2026·2 min

Local AI Coding Real-World Test: Can It Replace Cloud Models? A True Codebase Comparison

Real-world testing of local AI coding models Qwen 3 Coder Next and Qwen 3.6 on Excalidraw and Warp terminal codebases, comparing against cloud Opus for compliance-restricted scenarios.

Jun 20, 2026·3 min

Gemini 5.2 in Claude Code: Real-World Testing — Does It Crush Opus on Cost-Effectiveness?

Real-world testing of Gemini 5.2 in Claude Code vs Opus across web design, coding, creative tasks, and Storm research — analyzing the open-source model's cost advantage and ideal use cases.

Jun 20, 2026·3 min

DeepSeek V4 Pro In-Depth Review: Performance Rivaling GPT-5.5 at 1/12 the Cost

Comprehensive review of DeepSeek V4 Pro across coding, reasoning, and Agent benchmarks. Compare pricing vs GPT 5.5 and Claude Opus, plus hands-on coding demo with Pi Agent.

Jun 16, 2026·4 min

Llama.cpp Windows Local Deployment Guide: Run LLMs in Three Steps Without Compiling

Step-by-step guide to deploying Llama.cpp on Windows without compiling. Download pre-built packages, configure CUDA, and run GGUF quantized models locally with GPU acceleration and web UI in three simple steps.

Jun 16, 2026·3 min

Spring AI + Ollama: Run Large Language Models Locally at Zero Cost

Learn how to integrate Spring AI with Ollama to run open-source LLMs like Llama and Gemma locally for free. Covers setup, configuration, and code — switch from OpenAI by just changing dependencies.

Jun 15, 2026·4 min

Local Deployment of Claude Code: Principles and Practical Guide for Three Approaches

A detailed guide to locally deploying Claude Code with three approaches (LM Studio, Ollama, vLLM), covering architecture, protocol translation, hardware selection, and model recommendations.

Jun 14, 2026·3 min

Deploying a Multimodal AI Agent Locally on a 3080Ti: VRAM Management and a Deep Dive into All Five Modules

A detailed guide to deploying a multimodal AI Agent on a 3080Ti with 12GB VRAM, covering LLM, STT, TTS, image and video generation module selection, dynamic VRAM loading, and real-world performance.

Jun 14, 2026·3 min

5 Ways to Deploy LLMs Locally: From Getting Started to Production

A complete guide to 5 local LLM deployment methods: LlamaCPP, Ollama, LM Studio, vLLM/SGLang, and MLX-LM — from personal dev to production environments.

Jun 14, 2026·1 min

Gemma 4 12B: Google's Open-Weight Model Runs Locally on Your Laptop

Google releases Gemma 4 12B, an open-weight model that runs locally on laptops. Learn about its performance, local deployment value, and the open-source LLM competitive landscape.

Jun 14, 2026·3 min

AI Large Model Learning Roadmap Breakdown: Three Stages from Application Development to Model Fine-Tuning

Deep breakdown of a popular AI large model learning roadmap covering LangChain, RAG, Agent, and LoRA fine-tuning across three stages, with analysis of its strengths and limitations for career changers.

Jun 14, 2026·2 min

DiffusionGemma: Google's Open-Source Diffusion Language Model Exceeding 500 Tokens/s

Google releases DiffusionGemma, an open-source diffusion language model with Apache 2.0 license. The 26B-parameter MoE model achieves over 500 tokens/s in real-world tests.

Jun 13, 2026·3 min

Gemma 4 Open-Source Model Local Deployment Guide: Ollama Installation & Mobile Setup

Step-by-step guide to deploying Google's Gemma 4 open-source model locally with Ollama and running the lightweight version on mobile with tool calling support.

Jun 13, 2026·3 min

Claude Code with Local LLMs: Token-Free Deployment Guide & Configuration

Learn how to connect Claude Code to local LLMs for token-free AI coding. Covers three-layer architecture, Ollama/LM Studio/vLLM setup, protocol translation, and hardware selection.

Jun 13, 2026·2 min

A Complete Guide to LLM Infrastructure: Core Challenges from GPU Clusters to Inference Optimization

A deep dive into core challenges and key technologies for LLM infrastructure, covering GPU cluster management, inference optimization, distributed training, cost control, and observability.

Jun 13, 2026·3 min

LFM2.5 Local Deployment Hands-On: An 8B Parameter Model That Outperforms GPT-o3s in Tool Calling

Hands-on test of Liquid AI's LFM2.5 local deployment: architecture breakdown, 16GB VRAM troubleshooting, and GraphRAG tool-calling benchmarks vs GPT-o3s.