Nvidia GPUs may retain high residual values while memory, power, data centers and chips remain scarce. Ornn Data's chart shows B200 rentals in October still more than twice their January level, with older H200 rentals higher still. This may last longer than expected, but normal depreciation returns once newer generations ramp and supply catches up. x.com  x.com 

Rising rental rates even for older GPUs strengthen the case that IREN and CoreWeave's compute assets retain value. The quoted a16z data puts year-to-date rental gains at 160% for H200s, 120% for B200s and 35% for H100s; even six-year-old A100s rent for more than at the start of the year. x.com 

Semiconductors may be nearing peak AI-infrastructure euphoria as hyperscalers appear to have overspent on capex. Per a Bloomberg leak, Meta plans to sell excess AI capacity to third parties, entering cloud; one of the world's largest GPU buyers placing surplus capacity is a first warning. The same session showed a textbook rotation, with semis (SOXX) down 6.4% and cloud software (WCLD) up 3.6%. AI is here to stay, but innovation doesn't equal investment success. x.com  x.com  x.com  x.com 

Better chips explain falling AI token prices, while rising GPU rents reflect demand for Nvidia's hardware. B200 rentals rose 28% in the first eight months of 2026 even as token prices more than halved since May. A Vera Rubin rack is estimated at ~$7.8M, almost twice a Blackwell GB300 rack's price, but Nvidia says Rubin cuts cost per token by up to 10x versus Blackwell; its September agentic-coding benchmark puts the gap at up to 45x. x.com 

Lower AI token prices drive more usage, making GPUs scarcer and raising rental rates for neocloud capacity. Gavin Baker reports rising GPU rental prices even as token prices fall; the GPU constraint never left, and higher rental prices make the ARR math work again. x.com  x.com 

Meta's plan to build a cloud business could mark the top of the 2026 memory and semiconductor trade, much as its metaverse pivot ended the 2021 crypto bubble. Meta shares jumped 8.6% on the news, which @zerohedge reads as the market starting to reward capex cutters. If hyperscalers become more efficient or have spare compute supply, the acute shortage narrative eases, and this could be the start of a long-hyperscalers, short-memory-and-semis trade. x.com 

Semiconductor demand could withstand slower OpenAI and Anthropic growth if open-source models and post-training add more chip demand than it removes. Falling token prices need not erode per-GPU economics as cost per token falls and output per GPU rises, potentially keeping rental rates firm. The balance is unresolved; the lean is bullish, but markets may focus on the easier-to-see slowdown. Shares could chop until numbers defeat the bears, or a well-founded bear case could trigger heavy selling. … Show more

SpaceX's exclusive use of Nvidia GPUs and other supply constraints make Musk's 13-20 GW operational compute forecast for end-2027 too high. A substantial buildout is still incredibly enticing, but reaching that scale likely requires cheap capacity from struggling neoclouds, mostly through capacity deals and some acquisitions. Its attractive $40B off-balance-sheet GPU lease deal is only a drop in the bucket of the debt needed. Capacity can still grow quickly over time. x.com  x.com  x.com  x.com  … Show more

Semiconductor gains will now have to come from earnings growth rather than multiple expansion, but NVIDIA at 19x forward earnings can still make money. Rising margins normally compress multiples because peak margins signal peak cycle; this cycle ran long and euphoric buying drove multiples up, so a correction was bound to happen. With capex growth projected to slow from 2028, semis growth will likely slow too, and the window to profit from buying chip stocks at 25x sales is closed. x.com 

Financing announcements point to more accelerator demand, supporting semiconductors. About $200bn in announced Meta, Anthropic/Broadcom and SpaceX/Nvidia financing likely drives $400bn in XPU purchases. Data centers burn cash until lit, then cash flow 20-40% annually; AI spend rising from 0.1% to 0.5-1% of current payroll could balance the buildout if agents replace roles. Sustainable token demand is the bet, but smaller local models are the bigger risk, though not an immediate concern. x.com  … Show more