nowfound

Dev tools · May 19, 2026

spark cli

One bash script to set up and serve LLMs on DGX Spark

What it does

A single Bash script that automates the full DGX Spark lifecycle from your laptop. One command to set up everything (Docker, NGC, Tailscale, SSH, vLLM). One command to serve any model with auto-detected optimal flags (e.g. reasoning), tool-calling, context, multimodal, MoE, GPU memory. Zero dependencies: just bash and curl.

Does the same job

all alternatives →
  • BA
    Bash4LLM+ – A lightweight, dependency-free Bash wrapper for LLM APIsJun 2026 · github.com · ▲60

    Bash4LLM is a single-file Bash wrapper for interacting with LLMs from the terminal. I created it because I wanted something simple that worked without installing Python, Node, or any other runtime. It uses only Bash, curl, and jq. You can send prompts, start a small chat, process files line by line, stream output, and save session metadata in JSON format. I tried to make it safe and predictable: no use of the system /tmp, no use of eval. Groq is supported by default, and other providers can be added with dedicated Bash scripts in the extras/providers/ folder. Example: echo…

  • ML
  • PL
    Prompting LLMs in Bash scripts2025 · elijahpotter.dev · ▲79

    https://github.com/elijah-potter/ofc

  • BM
    Bash-My-AWS – CLI Commands for AWS2019 · bash-my-aws.org · ▲155
  • OR
    Ollama – Run LLMs on your Mac2023 · github.com · ▲284

    Hi HN A few folks and I have been working on this project for a couple weeks now. After previously working on the Docker project for a number of years (both on the container runtime and image registry side), the recent rise in open source language models made us think something similar needed to exist for large language models too. While not exactly the same as running linux containers, running LLMs shares quite a few of the same challenges. There are "base layers" (e.g. models like Llama 2), specific configuration to run correctly (parameters, temperature, context window sizes etc). There's…

  • ND
    NixOS-DGX-Spark – Nix and NixOS on the DGX SparkAug 2026 · github.com · ▲132

    Try DGX Spark playbooks using Nix on DGX OS, or install NixOS on your DGX Spark for the full Nix experience. The repository provides USB images and a NixOS module with settings for DGX Spark systems. This works on the NVIDIA DGX Spark itself and also on the Asus Ascent GX10. See my 5 minute lightning talk from Planet Nix for an intro: https://youtu.be/AvK_gi_snJE?si=MPKv3iiuS9B5elIE

More dev tools this month

the category →
  • Dograh592

    The open source VAPI alternative

    Dev tools · 25d ago · dograh.com

  • Meridian530

    Don't let your work go unnoticed. Get promoted!

    Dev tools · 20d ago · meridiona.com

  • x1516

    Lovable for iPhone apps go from idea to App Store

    Dev tools · 11d ago · x1.new

  • The first open-source price index for GPU compute

    Dev tools · 10d ago · getcomputable.com

  • OpenTrailPaper is open-source bike computer firmware for the LilyGO T5S3 4.7" E-Paper PRO. It supports offline maps, GPX routes, FIT recording and Bluetooth sensors.

    Dev tools · 2d ago · opentrailpaper.com

  • Open-source GTM skills for technical founders

    Dev tools · 29d ago · gtmcofounder.com

Launched alongside, May 2026

the whole month →
  • Brew 905

    Like Claude design for email marketing

    AI · May 2026 · brew.new

  • Parallel agents, diff reviewer, and multi-model comparisons

    Dev tools · May 2026 · kilo.ai

  • StoreClaw805

    Grow your store profits with agents that know how to sell

    AI · May 2026 · storeclaw.ai

  • Give your agent a real number and voice to make calls.

    AI · May 2026 · pollyreach.ai

  • NW

    Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…

    Life & fun · May 2026 · github.com

  • FM

    Dev tools · May 2026 · github.com