Support research that reaches real hardware.

ShivasNotes documents the complete path from mathematics and numerical contracts to generated C, Linux CPU nodes, embedded systems, and future drone autonomy.

Independent, evidence-first engineering

Sponsor the open research

Direct financial support

Recurring or one-time GitHub sponsorship helps sustain C-Kernel-Engine, public documentation, benchmark artifacts, and the engineering time required to keep the evidence reproducible.

Fund the CPU AI hardware milestones

CAD $30K evidence program

Six $5K gates move from the first Xeon 636 node to a matched pair, ECC capacity, high-speed networking, power measurement, and a controlled four-channel-versus-eight-channel study.

Contribute equipment or test time

Hardware and laboratory access

Loaner systems, remote Xeon/EPYC/Arm access, ECC memory, NICs, embedded boards, discounts, and engineering contacts can unlock evidence without requiring a cash contribution.

Commission an engineering investigation

Fund a defined outcome

Teams can fund a bounded CPU AI qualification, numerical divergence investigation, Linux performance study, kernel path, or embedded feasibility engagement with private deliverables.

Support does not purchase a favorable result

Funding, hardware, discounts, and engineering assistance are disclosed beside affected evidence. Public results retain limitations and negative findings. The goal is sustainable independent research, not benchmark advertising.

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I will send new posts as and when I write. No fixed cadence, just engineering notes, rants, and things I am thinking through.

ShivasNotes

Independent notes on software, systems, AI workflows, robotics, and building Antsand in public.

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