What Is a Token? The Unit of LLM Cost
What is a token in an LLM? A clear guide to what tokens are, how they differ from words, input vs output tokens and the context window, why tokens became the unit of AI cost and performance, and the GPU infrastructure behind token throughput.
What Is a Foundation Model? A Simple Guide
What is a foundation model? A clear guide to the model that's pretrained on broad data and adapted to many tasks — its relationship to LLMs, the pretraining and fine-tuning process, and the GPU infrastructure enterprises need to use it.
H100 vs H200 vs B200: What's the Difference
What separates NVIDIA's H100, H200, and B200? Compare HBM capacity and bandwidth, architecture (Hopper vs Blackwell), FP4 support, and real specs — plus which GPU to pick for LLM training and inference workloads.
What Is VRAM? GPU Memory for Running LLMs
What is VRAM and why does it matter for running LLMs? A simple guide to GPU memory vs system RAM, how to estimate VRAM by model size, and what to do when you run out.
