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Memory & storage · Thesis 06 · settles Nov 18 · 26 days · rung 2/3

Will Nvidia's research and development spending grow at least 64 percent year over year for the quarter ended October 25, 2026?

How it settles

Compare research and development expense that Nvidia reports for the quarter ended October 25, 2026 with the quarter ended October 26, 2025 on SEC EDGAR. Yes if growth is at or above 64.0 percent, no if below. SEC EDGAR, XBRL company facts of Nvidia (Forms 10-Q and 10-K)

The exact question and the full rule

Did the research and development expense of Nvidia for the quarter ended October 25, 2026 grow at or above 64.0% from the quarter ended October 26, 2025?

Compare the research and development expense that Nvidia reports for the quarter ended October 25, 2026 with the quarter ended October 26, 2025, in its 10-Q or 10-K filing on SEC EDGAR. The answer is yes if growth is at or above 64.0%; no if it is below 64.0%.

If the source is late or silent: If Nvidia has not filed by December 11, 2026, or a filing restates a period the rule reads, the test is inconclusive, and the Result says what was read and what was missing.

If no

Memory export records do not materialize

No if Nvidia's R and D expense growth slows below 64 percent from a year earlier.

If yes

Inference demand outgrows training

Yes if Nvidia's R and D expense rises at or above 64 percent from a year earlier, matching its recent pace.

50%
NoYes

No position, no money. The crowd, the Call and the machines appear after you lock your number.

The case · 2 people · 2 minutes
Memory export records do not materialize1 people argue noInference demand outgrows training1 people argue yes
Stronger if no · 1 people

Memory export records do not materialize

Kerrisdale Capital Management LLCSep 1

Training workloads require high-end GPUs and can be run remotely, aligning with CoreWeave's model of renting expensive, cutting-advantage capacity on long-term contracts. Inference, by contrast, is steady-state, latency-sensitive, and cost-conscious…

Stronger if yes · 1 people

Inference demand outgrows training

GaetanoMay 14

Training is compute-bound and GPU-focused, but inference is memory-bound and latency-sensitive. As AI moves into production across enterprises, the full system around the GPU matters more: memory capacity, context length, responsiveness, and data…

What would change the Call
  • The research and development expense Nvidia reports for the quarters ended October 25, 2026 and October 26, 2025 would move the call.
The Call · Thesis 06 · Inference demand outgrows training

The house leans to "Inference demand outgrows training".

The dossier · 5 minutes
The machines' reasons

3 models ran this one. Their numbers and reasons appear after you lock yours.

The thesis

Will Korea's monthly memory semiconductor exports set a new all-time monthly record in any month between 2026-11-15 and 2027-12-31?

Inference workloads are read by some as memory-bound rather than compute-bound, pulling HBM, DRAM and CXL demand toward record levels, while this side tests whether Korean export data actually registers a new all-time monthly high.