HE OPENED UP A FULL SERVER RACK, WIRED IT LIVE, AND IT'S PULLING IN $32,000 A MONTH.
Dual CPUs, multiple fan banks, a full expansion slot lineup ready for GPUs, all mounted, cabled, and running right there on a workbench.
This isn't a hobby build. This is compute infrastructure he rents out to teams who need serious processing power without buying their own hardware.
Set it up once, keep it running, and $32K a month just keeps rolling in while it sits there humming in the corner.
Real hardware, real uptime, real recurring revenue.
HE CONNECTED 5 MAC STUDIOS INTO ONE MACHINE — AND IT RUNS A 405 BILLION PARAMETER AI MODEL LOCALLY.
Five M2 Max Mac Studios, 64GB each, linked together using Exo — a free open-source tool that lets Macs auto-discover each other on a network and pool their resources.
The secret is Apple's unified memory architecture. Each Mac's GPU has direct access to its full RAM pool, so stacking five of them together creates a massive combined VRAM array — enough to run Llama 3.1 405B, a model no single gaming PC or home rig can touch.
No cloud. No API. No data center. Just consumer hardware, chained together, running one of the biggest open models that exists.
Full setup walkthrough in his complete video.
While everyone is chasing the next trend, I'm more interested in watching projects that continue to spark real conversations. $ANSEM has stayed on my radar for that reason alone. Curious to see what the community builds from here.
Another milestone: $3.25T+ cumulative volume. $130B in May. $100B already in June. This shows the strength of on-chain markets. @PythNetwork keeps delivering.
As exchanges expand into commodities, equities, ETFs, and indices, price data becomes the infrastructure that decides which markets can actually scale.
In April 2026, Pyth powered $173B in RWA perp volume, representing roughly one-third of the total market.
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