Wandler: Local OpenAI-Compatible Inference With Transformers.js and WebGPU
A practical Wandler deep dive with a local M1 Max WebGPU demo, real latency numbers, architecture diagrams, and getting-started commands.
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wandlerwebgpuJun 3, 2026
Wandler: Local OpenAI-Compatible Inference With Transformers.js and WebGPU
A practical Wandler deep dive with a local M1 Max WebGPU demo, real latency numbers, architecture diagrams, and getting-started commands.
Saiyam Pathak · 20 min
mlxapple-siliconMay 29, 2026
mlxcel: A Rust-Native Inference Engine for Apple Silicon, Tested on My M1 Max
Day-one deep dive into mlxcel v0.1.0, a Rust-native MLX inference engine. Real M1 Max benchmarks vs mlx-lm and Ollama on Llama 3.2 3B and Qwen 2.5 7B, with architecture diagrams and an honest take on TurboQuant.
Saiyam Pathak · 28 min
nvidiadgxsparkMay 27, 2026
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.
Saiyam Pathak · 26 minSeries
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183 posts · page 1 of 13
mlxcel: A Rust-Native Inference Engine for Apple Silicon, Tested on My M1 Max
Day-one deep dive into mlxcel v0.1.0, a Rust-native MLX inference engine. Real M1 Max benchmarks vs mlx-lm and Ollama on Llama 3.2 3B and Qwen 2.5 7B, with architecture diagrams and an honest take on TurboQuant.
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.
How kube-proxy Actually Works: iptables, IPVS, and nftables Inside Out
How kube-proxy turns Kubernetes Services into kernel rules. iptables, IPVS, nftables packet paths and which to pick in 2026. Verified against k/k 1.36 source.
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.
How Kubernetes EndpointSlices Actually Work (and Why Endpoints Had to Die)
A Service has no pod IPs in it. We covered that in the last post. So somewhere, something is keeping a list of every pod IP that matches the Service's…
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,…
How a Kubernetes Service Actually Works (and All 5 Types You Need)
A pod gets created. It gets an IP. Then it dies. A new pod replaces it. New IP. Now imagine you have ten pods of the same app, and they restart all the…
Day 7: Ship It - and What Comes Next
Your container runs as root and has 18 CVEs. A Docker Captain's guide to hardening, Scout policies, DHI, Sandboxes, and what comes after Docker.
Day 6: Run an LLM on Your Laptop - With Docker
"Pull AI models from Docker Hub, run them locally with GPU acceleration, and build an AI-powered app
A Kubeconfig for GKE That Doesn't Need gcloud
When you run gcloud container clusters get-credentials , the kubeconfig it writes looks innocent — until you hand it to a teammate and they hit: …or the…
Day 5: Docker Compose - How Docker Actually Gets Used
7 Days of Docker in 2026 - From docker run Chaos to Declarative Stacks Nobody types docker run with 15 flags in real life. I’ve been learning and working…
What Actually Happens When kube-scheduler Picks a Node (13 Stages Inside Kubernetes)
How kube-scheduler picks a node: 13 framework stages, 14 Filter plugins, 9 Score plugins, live preemption demo.
Day 4: Breaking Isolation on Purpose - Volumes, Networks, and the Real World
7 Days of Docker in 2026 — When Containers Need to Talk and Remember On Day 3, you built production-ready images with Dockerfiles, optimized layers, and…
Day 3: Stop Writing Dockerfiles From Scratch
Stop writing Dockerfiles from scratch. A Docker Captain walks through docker init, layer caching, multi-stage builds, and docker debug for 2026.