Corporate Announcement: The Evolution of Private AI
Subject: Announcing the Strategic Rebranding of PCDS to SAIS (Sovereign Artificial Intelligence Spaces)
My Data Sys and Ecoladang Micro Farms.
TL;DR; - MY DATA SYS SDN BHD is now trading as Ecoladang Micro Farms in Malaysia with a vision to Transform cultivation through diversification. We use innovative solutions to diversify crops on farms, creating local jobs and fostering profitability through our franchise model.
If you have your OpenClaw working 24/7 using frontier models like Opus, you're easily burning $300 a day.
That's $100,000 a year.
I have 3 Mac Studios and a DGX Spark running 4 high end local models (Nemotron 3, Qwen 3.5, Kimi K2.5, MiniMax2.5). They're chugging 24/7/365. I
MiniMax-M2.5 went fully open source and it’s basically Claude Opus performance but 95% cheaper..
it scores 80.2% on SWE-bench verified. It's 3x faster than the industry leaders.
4 useful use cases:
1. Build interactive prototypes
http://x.com/i/article/2015708264906768384
Running OpenClaw locally? Do it safely.
This walkthrough shows how to run it inside Docker Sandboxes with Docker Model Runner:
- Isolated microVM
- No exposed API keys
- Controlled network access
- Fully private, local AI setup
Secure agent workflows in ~2 commands.
Read →
17,000 tokens per second!! Read that again!
LLM is hard-wired directly into silicon. no HBM, no liquid cooling, just raw specialized hardware. 10x faster and 20x cheaper than a B200.
the "waiting for the LLM to think" era is dead. Code generates at the speed of human thought.
