Series · 3 parts

7 Days of DGX Spark

Hands-on with NVIDIA DGX Spark, from unboxing to running 120B-parameter models.

A seven-day series taking the NVIDIA DGX Spark from unboxing to production AI workloads. SSH, networking, model serving, fine-tuning, and the practical infrastructure decisions you face when you actually own one of these.

Saiyam Pathak

Written by

Saiyam Pathak
  1. 01

    Part 1 · May 25, 2026 · 13 min

    Day 1: The Local LLM Revolution. Why Your Desk Just Became the New Datacenter

    Why local LLMs are becoming practical in 2026, what changed across open weights, hardware, and inference software, and why DGX Spark makes the desk feel like a small AI lab.

  2. 02

    Part 2 · May 27, 2026 · 26 min

    Day 2: Anatomy of an LLM Inference Request. From Prompt to Answer, Step by Step

    A beginner-friendly walkthrough of tokenization, prefill, KV cache, decode, batching, TTFT, and why memory bandwidth shapes local LLM performance on NVIDIA DGX Spark.

  3. 03

    Part 3 · Jun 5, 2026 · 19 min

    Day 3: The DGX Spark Unpacked. GB10, Unified Memory, sm_121, and the One Reason This Hardware Exists

    A practical teardown of NVIDIA DGX Spark's GB10 Grace Blackwell Superchip, unified memory, sm_121, NVFP4 tensor cores, memory reporting, and decode limits.