FOR DEVELOPERS

GPU Computing & AI Infrastructure

Technical deep-dives on distributed computing, GPU architecture, and AI infrastructure. Written by engineers, for engineers.

PyTorch

TensorFlow

CUDA

Docker

Kubernetes

Ray

Featured Guides

Featured

Intermediate

What is Distributed Computing? Complete Guide

A comprehensive guide to distributed computing: architecture, benefits, challenges, and how it powers modern AI infrastructure.

NVIDIA A100 vs H100: Complete Comparison

Everything you need to know about choosing between NVIDIA's flagship datacenter GPUs. Specs, performance benchmarks, and pricing.

RTX 5090 vs 4090: AI & Gaming Comparison

Complete comparison of NVIDIA RTX 5090 vs 4090 for AI training, deep learning, and gaming. Specs, benchmarks, and buying guide.

All Technical Guides

8 in-depth articles

Beginner

Best GPU for AI Training 2025

Find the best GPU for AI and machine learning. Compare RTX 4090, A100, H100 for training LLMs, Stable Diffusion, and more.

GPU Memory Optimization Guide

Master GPU memory optimization techniques. Gradient checkpointing, mixed precision, FlashAttention, and DeepSpeed.

How to Fine-tune LLMs

Complete guide to fine-tuning LLMs with LoRA, QLoRA, and full fine-tuning. Code examples and Griddly deployment.

AI Inference vs Training: What's the Difference?

Understand the key differences between AI inference and training. Hardware requirements, costs, and optimization strategies.

Fundamentals

10 min read

Advanced

Distributed Training Guide

Master distributed training with data parallelism, model parallelism, DeepSpeed, FSDP, and scale your AI training.

Training

Advanced

20 min read

Ready to Build?

Access GPU compute at 70% lower cost than AWS, Azure, or GCP. Start with $50 in free credits.