π Advice on Rust, Go, Zig for HPC in AI Pipelines
π My Coding World
- π 1 Focus: Writing fast AI code for AI spaces.
- π» 2 Fav Languages: Python, HTML5, JS β picky for AI UI/UX vibes.
- β‘ 3 Daily Grind: Building models, designing pipelines, 3000 lines/day since AI pair programming (2020).
- π οΈ 4 Workflow: 1500-line spaces, 200-300 versioned
app.py
,requirements.txt
, and redocker boots. - π₯οΈ 5 Fav IDEs:
- π 1. HuggingFace: Instant setup, 3 secs to spin up a Space! π
- π 2. VSCode: 5 mins for folder, interpreter,
launch.json
. βοΈ
β±οΈ Why I Love My Setup
- π 1 New Project:
- β‘ 1. HF: 3 secs to pick a Python lib or container.
- π οΈ 2. VSCode: 5 mins to configure from scratch.
- π 2 Quick Python App (
app.py
,requirements.txt
):- β³ 1. HF: <2 mins, auto-rebuilds on commit.
- π§ 2. VSCode: ~2 mins, but manual rebuilds.
- π 3 Learn Fast: Simple patterns, no complexity overload.
- π§ͺ 1. E.g.,
git clone https://github.com/AaronCWacker/SFT
β instant ML pipeline, test-ready!
- π§ͺ 1. E.g.,
- π 4 Test & Enjoy: Pure pleasure running my own app.
π§ͺ Experimenting with HPC: How Low Can We Go?
π‘ Why Try Rust, Go, Zig for AI?
π Hereβs why these languages fit your 3000-line/day AI pipeline life:
π¦ 1 Rust: Memory-Safe Speed Demon
- π§Ή 1. Why: Stack cleanup = no leaks, no GC lag for big models.
- βοΈ 2. Perk: Mutable vars explicit β readable pipelines at 2 AM.
- β‘ 3. Fit: Fast, safe, concurrent β crushes big data tasks.
πΉ 2 Go: Reliable Workhorse
- π 1. Why: Simple, fast binaries, goroutines for concurrency.
- π 2. Perk: Perfect for real-time services (e.g., ChatGPT, ElevenLabs).
- β© 3. Fit: Churns out server-side code to match your grind.
β‘ 3 Zig: Wild Card Optimizer
- β²οΈ 1. Why: "Comptime" metaprogramming β pre-compute tables/configs.
- π© 2. Perk: Raw, C-like control, no fluff, blazing fast.
- π¨ 3. Fit: Playground for performance tweaks in AI spaces.
π― Takeaways
- π‘οΈ 1 Rust: Safe, concurrent model code.
- π 2 Go: Quick, scalable services.
- π 3 Zig: Lean, custom optimizations.
- πͺ 4 Promise: Theyβll keep up with your pace and push pipelines harder.
π₯ Call to Action
π 1 Give βem a shot β your AI code deserves it!
- π Rust frees memory with stack cleanup - No manual freeing, tied to scope.
- π‘οΈ Rust avoids garbage collector - Compile-time cleanup, not runtime.
- βοΈ Rust requires mutable variables explicitly - Improves code readability, safety.
- β‘ Rust emphasizes performance, safety - Borrow checker prevents errors.
- π§© Zig metaprogramming is simple - Same syntax, just add "comptime."
- β±οΈ Zig runs code at compile time - E.g., generate prime numbers early.
- π Go as a mainstay - Reliable for services, web sockets.
- π οΈ Jai and Zig for exploration - Testing performance in custom services.
- π Jai uses raw sockets - Manual TCP connections, like C.
- π C++ metaprogramming is messy - Powerful but hard to debug.