Context: Why This Research Exists¶
Errata (2026-09-23): E2, E3 in
11-errata-2026-09-23.mdcorrect claims in this document. The original text is kept as the record; read those entries before relying on it. Current design:2026-09-23-vss-gaming-gpu-profile-design.md.Currency — 2026-09-29 [V]. The Status: line below ("Research in progress") is the record of 2026-09-18 and is stale: the research it describes concluded in an approved design,
2026-09-23-vss-gaming-gpu-profile-design.md, and that design's VLM path is now the shipped default —4bfd6fa4flippeddocker-compose.prod.yml:578toPIPELINE_MODE=${PIPELINE_MODE:-vlm}on 2026-09-27. The "we might replace this project's AI pipeline with VSS's" framing at §"The three-step plan under evaluation" is likewise settled: we adopt VSS's verification pattern and none of its services (seeREADME.md). "Nothing here is a commitment" still holds — the commitment lives in the spec, and what has actually run lives in the ledger,2026-09-23-vss-gaming-gpu-ledger.md. This sentence is the correction; the line below stays as the record. Note it is not the Errata banner above: that one corrects other claims in this doc, and an unrelated dated banner is not a correction of this one.
Status: Research in progress. Nothing here is a commitment or a plan. Started: 2026-09-18
The situation¶
This project was built rapidly in early 2026 and then abandoned. It is being picked back up because the owner moved to a team at NVIDIA where this work counts as their job.
After building it, the owner found another NVIDIA team shipping a product in the same space: Metropolis VSS (Video Search and Summarization), a published AI Blueprint.
The three-step plan under evaluation¶
- Stabilize the testing environment, frontend and backend.
- Replace this project's AI pipeline with the VSS pipeline.
- Position the result as a "consumer-friendly VSS" targeting gaming GPUs — a market segment the VSS team has not explored, since VSS targets datacenter and, more recently, edge.
Step 1 is well advanced: see the test-platform program in docs/superpowers/plans/2026-09-15-test-platform-improvement.md and its ledger at docs/plans/2026-09-12-context-map-doc-updates.md.
Steps 2 and 3 are what this directory investigates.
Why the two systems are comparable¶
Our pipeline turns images into text with small specialized vision models, then hands the text to an LLM for reasoning. That was a deliberate design choice made to fit a 24 GB VRAM budget with Nemotron v3 Nano on the host. It is why there are so many small models in ai/.
VSS is the same shape. It also composes a perception tier with a reasoning tier. See 01-vss-architecture.md for the module-by-module mapping. The two systems converged on the same architecture independently, which is evidence the architecture is correct for the problem rather than an accident of either team.
The market thesis¶
VSS's own sizing documentation [V] bottoms out at a 32 GB workstation card (RTX PRO 4500 Blackwell). There is no GeForce row in its GPU table. Its edge profiles (DGX Spark, AGX Thor, IGX Thor) are unified-memory platforms with 128 GB shared between CPU and GPU — a fundamentally different constraint than a discrete consumer GPU with 24-32 GB of fast VRAM and no unified pool.
So the gap is real and documented by its absence: nothing in VSS addresses a discrete consumer GPU. That is the thesis. It also means there is no existing profile to crib from — the edge profile solves the opposite problem and does not transfer.
The decision this research feeds¶
Two decisions, in order:
- Is the in-flight test-platform work serving this goal? Specifically, an agent executing WP4.4 (mutation-evidence test consolidation) requested 2-3 more days of census processing. Whether that is the right spend depends on which of the modules being hardened survive a pipeline swap.
- What is the cheapest experiment that would falsify the consumer-VSS thesis? Before committing months, there should be a small check that produces real information.
What this is not¶
- Not a decision to adopt VSS. That has not been made.
- Not a commitment to contribute upstream to VSS. That option is under evaluation; see
03-open-questions.md. - Not an endorsement of the effort estimates herein. They are rough and marked as such.
Related¶
01-vss-architecture.md— what VSS actually is02-model-inventory.md— the models and the VRAM math03-open-questions.md— what is still unknown