512GB Unified Memory: What It Means for AI Workloads in 2026
Apple Silicon's unified memory architecture fundamentally changes what's possible for AI inference. We explore why 512GB on a single machine matters more than raw TFLOPS for large language models.
How to Run Llama 70B at Full FP16 Precision
Step-by-step guide to running Llama 70B without quantization. Why full precision matters and how MetalCloud makes it practical.
MLX vs PyTorch: When to Use Apple's ML Framework
An honest comparison of MLX and PyTorch. Performance benchmarks, ecosystem maturity, and practical guidance on choosing the right framework.
The True Cost of Running LLMs in 2026
Breaking down the real costs of LLM inference: NVIDIA vs Apple Silicon, cloud vs on-prem, and hidden costs everyone ignores.
Context Windows Explained: Why Memory Matters More Than Speed
Understanding KV cache, context length, and why 512GB unified memory enables 100K+ token contexts without complexity.
How to Earn £800+/Month from Your Mac Studio
A practical guide to becoming a MetalCloud host. Setup, earnings potential, and tips from top-earning hosts.