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What It Actually Takes to Get a GPU in Canada
We had the money and we're a multi-year cloud customer. It still took two months, a flood of scammers, and a $14,000-a-week quote to rent a few chips. Here's how GPU access actually works.
Read storyFounder Reality is written by George Pu — $10M+ portfolio built by 27, no investors, no co-founders.
Latest Essays
What I'm thinking about right now.
We Asked Our 4B Legal AI 10 Questions. It Invented 7 Cases.
An honest post-mortem on our own model — and what anyone building or buying AI should take from it.
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Open Weights, Closed System
Google shipped local AI on the Mac this week. The weights are Apache 2.0. The experience is a walled garden. That's not a contradiction. That's the playbook.
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Why CBLRE Matters More Than the Model
Yesterday we released CBLRE — the Canadian Bilingual Legal and Regulatory Evaluation. The day before, we released flash-1-mini, a 4-billion-parameter bilingual Canadian legal AI model. Most of the launch coverage has focused on the model. That's the wrong artifact to focus on. The model is the proof. CBLRE is the moat. Here's why. The gap nobody had filled Before yesterday, no standard public benchmark existed for Canadian bilingual legal AI evaluation. That sentence is bigger than it so
Read essayFrom the series · The AI Displacement Series
What Gets Displaced
This is Chapter 3 of 7 in the AI Displacement Series.
More on Sovereign Compute
Three essays from the archive on a different angle.
I Tried to Buy a Mac Studio This Week. Here's What Happened.
I've been running our AI stack on a rented L4 GPU on Google Cloud. $700 a month. Serves a Qwen 14B model. Fine for production. Not fine for what I want to do next. I want to self-host a 70B open-source model on my own hardware. Run it locally. Write about the whole process in public. Eventually help other founders do the same. The plan was simple. Mac Studio. M4 Max. 128GB unified memory. Quiet enough to sit on a desk. Fast en
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Hardware Sovereignty Is the New Data Sovereignty
After I wrote about trying to buy a Mac Studio and failing, the replies kept circling the same question. "If I can't buy the hardware and I don't trust the cloud, what am I supposed to do?" That question led me somewhere I didn't expect. I Checked What GPUs You Can Actually Get in Canada Not the marketing pages. Not the pricing calculators either. The actual hardware you can spin up today in a Canadian data center. I went t
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What It Actually Takes to Get a GPU in Canada
We had the money and we're a multi-year cloud customer. It still took two months, a flood of scammers, and a $14,000-a-week quote to rent a few chips. Here's how GPU access actually works.
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Three things from across the site you may not have found yet.
Own Your Tech
Why renting your stack is the quietest way to lose everything you build.
ReadSovereignty
The case for building a life nobody can revoke — money, jurisdiction, identity.
ReadDe-Risk Your Startup
The consulting model that funds the build instead of betting the farm.
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A couple of older essays we think are worth a second look.
Sovereignty Is Not About Ownership
A vice-president at a Canadian university called me last month. Her president had told her the institution needed to be on sovereign AI within the year. The provincial government had announced a funding program. Other universities were already applying. She wanted to know what she should be evaluating. I asked her what sovereign meant in this context. She paused for a long time. Then she said, "I think it means the data stays in Canada." I asked what about it staying in Canada specifically
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Closed Orchestrators Will Commoditize. Open Ones Will Compound.
Two AI infrastructure announcements landed in the same week. Ours was a model. We released flash-1-mini — a 4-billion-parameter bilingual Canadian legal AI — under Apache 2.0, alongside an open benchmark (CBLRE), an open training corpus, and the methodology behind both. The model runs on a MacBook. It runs on a Raspberry Pi. The weights are downloadable. You own the file. Perplexity's was an orchestrator. At Intel's Computex keynote in Taipei, CEO Aravind Srinivas demonstrated what the com
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Recent threads
The latest from @TheGeorgePu.
Canada's AI hardware reality check — what's actually available vs. what founders think they can buy.
GPU shipping is the tell. If you can't physically own the compute, you don't own your AI stack.
I only write code when it's 10/10 important. Slowing down is the real productivity move in 2026.
Mac Studio supply is crunched. Apple's quietly rationing M3 Ultra — AI builders feel it first.
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