Topic
nvidia
9 articles

Day 5: Local LLM Inference Engines, Wrappers, and What to Pick
A beginner-friendly guide to local LLM inference, with the same Qwen model tested through Ollama, llama.cpp, Docker Model Runner, vLLM, SGLang, and TensorRT-LLM on NVIDIA DGX Spark.


Slicing GPUs in Kubernetes with NVIDIA Multi-Instance GPU (MIG)
GPU sharing in Kubernetes explained: time-slicing vs MPS vs MIG, every nvidia-smi command to enable and disable MIG on one GPU or eight, GPU Operator automation, pitfalls, and DCGM monitoring.



Day 4: Quantization Demystified. BF16, FP8, NVFP4, MXFP4, INT4, GGUF, and Why It All Matters
A practical, beginner-friendly guide to BF16, FP8, NVFP4, MXFP4, INT4, and GGUF Q4_K_M on NVIDIA DGX Spark. Bytes per parameter, quality vs size, and which format to pick when.


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.


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.


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.


NVCF Is Now Open Source: Inside NVIDIA's GPU Function Platform
NVIDIA just open-sourced the full NVCF platform under Apache 2.0. Not a thin SDK, not a client library. The actual control plane, invocation plane,…


"SSH Into Your DGX Spark From Anywhere in the World Using Tailscale
Learn how to set up Tailscale on your NVIDIA DGX Spark for secure SSH access from anywhere in the world.


Here's What I Learned About Nemotron 3 Super -I Ran a 120B Parameter Model on Nvidia DGX Spark
Understand everything about Nvidia DGX spark along with hands on and benchmarks.
