Designing a CPU-first AI research portfolio

Substantive answers preserved

27

Independent respondents + supplied contribution

7 + 1

Experiments started by the collection

0

The question

What substantive AI experiments are feasible on CPU/system RAM with locked independent evaluation?

How the work was approached

Seven independently queried providers plus Jim's separate shared ChatGPT contribution; preserved catalogs, proposed protocols, corrections and source checks.

What the record shows

Produced candidate studies in quantization, speculative decoding, CPU/NUMA placement, protected coding repair and evidence-memory systems, with explicit implementation and evaluation gates.

What remains unresolved

Provider catalog sizes are not a deduplicated experiment total. Protocols and suggested funding are proposals; no inference, benchmark, grant submission, runner or model change started. Current R640 inventory remained unverified.

What we are trying to achieve

The aim is to find where CPU and system-memory AI can do useful, dependable work at a practical cost. The portfolio turns that ambition into candidate studies with resource limits and independent evaluation. Selecting and running those studies is a later stage.

Sources & reading notes

1. CHECKPOINT.mdAssignment / Current State / Next Action Retained project record Source record retained privately.
2. collection_integrity.jsonSubstantive counts and experiments_started Retained project record Source record retained privately.
3. consolidated_report.mdProvider Starting Portfolios / Corrections That Matter Retained project record Source record retained privately.

This is a dated, source-based research account, not a live machine report. Historical results, engineering preparation, research designs, open review gates, and measured pilots remain distinct.