How to Deploy Llama 4 on Cloud GPUs: Complete Guide
Deploy Meta's Llama 4 models on cloud GPUs. GPU requirements by size, vLLM setup, quantization options, and cost comparison between self-hosting and APIs.
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Tutorials
Step-by-step tutorials, beginner guides, and educational content for AI infrastructure.
30 articles
Fine Tune DeepSeek V3 and R1 Models: A Complete Tutorial
Master fine-tuning DeepSeek R1 and V3 with LoRA techniques, GPU cost analysis, and production-ready dataset preparation strategies.
How to Fine-Tune Llama 4: Complete LoRA Training Guide and Cost Breakdown
Fine-tune Llama 4 Scout with LoRA: step-by-step guide, GPU requirements (A100 sufficient), dataset preparation, evaluation metrics. Cost breakdown and ROI analysis.
How to Build an AI Agent: Framework Guide for Developers
Build AI agents with LangChain, CrewAI, AutoGen, Claude SDK. Framework comparison, tool integration, memory patterns, cost optimization guide 2026.
How to Deploy DeepSeek R1: Complete Self-Hosting Guide
Step-by-step guide for self-hosting DeepSeek R1 671B MoE model. Hardware selection, vLLM deployment, and quantization strategies.
Run AI Locally: Complete Beginner's Guide to LLMs on Your Machine
How to run LLMs locally using Ollama, LM Studio, and llama.cpp. Hardware requirements, model selection, and performance tips as of March 2026.
How to Use Ollama: Complete Setup and Tutorial Guide
Run open-source LLMs locally with Ollama. Step-by-step installation, commands, GPU acceleration, Docker deployment, Modelfile customization, and performance tuning.
How to Set Up Multi-GPU Training on Lambda Labs
Multi-GPU training scales fast. Single GPU bottlenecks batch size and throughput. Four GPUs train 3-4x faster with distributed setup. Lambda Labs offers.
How to Run Llama 3 on AWS GPU Instances
p3.2xlarge: One V100 (16GB). $3.06/hour. Handles quantized Llama 3.
How to Run LLM Locally: Complete Guide
Step-by-step guide to running Llama, Mistral, or Phi locally. Hardware requirements, inference engines, optimization techniques.
How to Run an LLM Locally on Windows
Complete guide to running large language models on Windows. Setup, optimization, and best tools for local LLM inference.
How to Run a Local LLM on Mac
Set up and run language models locally on Mac computers. Learn tools, installation steps, and optimization techniques for local LLM inference.
How to Fine-Tune Mistral on a Custom Dataset
Step-by-step guide to fine-tuning Mistral LLM on a custom dataset. Learn setup, training, optimization, and deployment strategies.
How to Deploy vLLM on CoreWeave
Step-by-step guide to deploying vLLM on CoreWeave GPU infrastructure for efficient inference. Learn cost optimization and configuration best practices as of March 2026.
How to Deploy Stable Diffusion on Vast.AI: Step-by-Step Guide
Deploy Stable Diffusion on Vast.AI with this complete guide. Learn setup, configuration, and optimization for cost-effective AI image generation.
How to Deploy Mistral on Lambda Labs
Step-by-step guide to deploy Mistral 7B and 8x7B models on Lambda Labs. Configure vLLM, optimize inference, and cost breakdown for production.
How to Deploy Llama 3 on RunPod: Step-by-Step
Complete guide to deploying Llama 3 models on RunPod GPU cloud. Configuration, setup, and inference API integration as of March 2026.
AWS Fine-Tune LLM: SageMaker vs EC2 GPU Pricing
Compare SageMaker and EC2 GPU pricing for fine-tuning large language models on AWS. Cost analysis, performance, and recommendation as of March 2026.
Open Source LLM API: How to Self-Host & Save 90%
Closed-source APIs (OpenAI GPT-4, Claude, Gemini) charge $0.01-0.03 per thousand tokens. A 70-billion parameter model run 24/7 at 500 req/sec generates.
RLHF Fine-Tuning on Single H100: Step-by-Step Guide
Complete RLHF fine-tuning workflow on single H100 GPU. TRL library, reward modeling, PPO/DPO, VRAM budgets, LoRA. Hands-on tutorial as of March 2026.
How to Build a RAG App: Complete Infrastructure Guide
RAG application guide: embedding selection, vector databases, retrieval strategies, LLM generation, production deployment, evaluation, and cost optimization.
How to Fine-Tune Llama 3: Complete Guide with Cost Breakdown
Step-by-step Llama 3 fine-tuning tutorial using LoRA and QLoRA. GPU requirements, dataset preparation, evaluation, and pricing comparison for 8B and 70B models.
Fine-Tune LLM for Chatbot: Step-by-Step Guide
Learn how to fine-tune large language models for custom chatbots. Complete guide with code examples and production deployment strategies.
Fine-Tune LLM on Your Own Data: Privacy-First Approach
Complete guide to fine-tuning language models on your own data with privacy protection. Learn techniques, GPU requirements, and cost optimization as of March 2026.
Fine-Tune LLM with LoRA: GPU Requirements & Costs
LoRA (Low-Rank Adaptation) modifies language models by injecting small trainable matrices into attention layers. Rather than updating all model weights.
How to Deploy vLLM on Cloud GPUs: Step-by-Step Guide
Deploy vLLM on cloud GPUs for high-throughput LLM serving. Complete guide with GPU selection, configuration, quantization, and cost optimization strategies.
How to Negotiate GPU Cloud Pricing: Insider Tips
Learn insider tactics to negotiate GPU cloud pricing and reduce costs by 30-60%. Volume discounts, longer-term commitments, and negotiation strategies.
How to Fine-Tune on RunPod: Complete GPU Guide
Fine-tuning LLMs eats serious compute. RunPod offers GPU cloud infrastructure with hourly billing and no lock-in contracts. As of March 2026, this guide.
How to Fine-Tune an LLM - Complete Beginner Guide
Fine-tune LLMs step-by-step. Dataset preparation, training setup, cost optimization, and deployment as of March 2026.
Google Colab Fine-Tune LLM: Free vs Pro GPU Comparison
Free Colab gives developers random GPUs (K80 or T4), 12-hour session limits, and 100 monthly compute units. Colab Pro is $12.67/month with guaranteed T4.
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