B. Consumer GPU supply and prices#

Status: Plan Last verified: 2026-09-26 Canonical for: the Gemini Deep Research prompt for the consumer-GPU workstream

Feeds decisions 1 (PC4 timing) and 3 (resale floor). Paste everything in the block below.

CONTEXT
I run a small AI inference business in Malaysia (image and video generation). In September 2026 I bought three consumer PCs, each with one NVIDIA RTX 5090 (32 GB), a Ryzen 9 9950X, 64–128 GB DDR5 and a PCIe 5.0 NVMe drive, for about RM115,000 in total (roughly USD 27,000). They serve my baseline load; bursts and jobs that need more than 32 GB of VRAM go to serverless cloud GPUs. I do not need data-centre redundancy; brief downtime is acceptable because traffic fails over to the cloud.

Amortised over 36 months with local electricity, the owned cost works out to roughly USD 0.40 per GPU-hour when the nodes are busy. My planning horizon is October 2026 to September 2029.

The decisions this research informs:
1. Whether and when to buy a fourth node (now, after memory prices fall, or never).
2. The rental price at which owning becomes the wrong call. The relevant alternative is a dedicated GPU server with fast local NVMe, not per-second serverless.
3. What a used RTX 5090 will be worth in 18–36 months.
4. Malaysia-specific risks to the cost of owning.

TASK: CONSUMER GPU SUPPLY AND PRICES
The RTX 5090 launched in early 2025 at a USD 1,999 list price. Street prices have since risen to roughly USD 5,000–6,000 in some markets. Research why, and where it goes. Answer these questions:

1. What is the RTX 5090 street price now (new) in the US, Europe, China and Southeast Asia (Malaysia and Singapore if available), and how has it moved month by month since launch? Separate board partners if the spread is large.
2. What are used RTX 5090 cards actually selling for (sold listings on eBay and equivalent marketplaces, not asking prices)? How does the used price compare with new?
3. What drives the premium: GDDR7 cost, NVIDIA shifting wafer and memory allocation to data-centre products, AI buyers using consumer cards, China demand (including the 5090D and grey-market flows), tariffs, or scalping? Weight each with evidence.
4. What share of NVIDIA revenue and supply now goes to gaming, and what have NVIDIA and its board partners said recently about gaming supply?
5. What is next: RTX 50 Super, a 5090 refresh, or the next-generation consumer architecture? Credible timing, VRAM configurations and expected prices. When the successor launches, what historically happens to the previous flagship's new and used price (use the 3090 to 4090 and 4090 to 5090 transitions as baselines, including how the 4090 held value)?
6. Are AMD or Intel consumer cards, or 32 GB+ workstation cards (for example the RTX PRO series), changing the value of a 32 GB consumer card for AI inference?
7. Are there signs of oversupply, such as inventory building, price cuts, or bundles?

Tell me: (a) the likely price of a new RTX 5090 in 6, 12 and 24 months, (b) a realistic used resale range at 18, 24 and 36 months with a bear case, and (c) whether waiting to buy a fourth card is likely to save money, and roughly how much.

SOURCES
- Today is late September 2026. Prioritise sources published in the last 90 days. Use older material only as a historical baseline, and label it as such.
- Prefer leading and primary sources: independent semiconductor analysts (for example SemiAnalysis), market trackers (for example TrendForce), company earnings calls and transcripts, regulatory filings, price indices, marketplace price histories and sold listings, supply-chain reporting.
- Investment banks, consultancies and auditors are acceptable but usually lag. When you cite them, say so.
- Where credible sources disagree, show both positions with their reasoning. Do not average them.
- Give a URL for every sourced claim.

OUTPUT FORMAT
1. Answer: at most 10 bullets answering the questions above directly, with numbers.
2. Evidence table with columns: claim | number | as-of date | source (URL) | observed / forecast / rumour | leading / lagging.
3. Scenarios for October 2026 to September 2029: base, upside and downside for my position. For each: a rough probability, what happens to the prices that matter to me, and the indicator that would tell me early that this scenario is unfolding.
4. What would change the call: concrete thresholds (indicator, level, where to watch it, how often it updates).
5. Unknowns: what you could not find or could not verify.

Do not give generic investment advice or stock recommendations. Keep the focus on the decisions above.