Arm is expanding its business model from licensing Neoverse core IP and compute subsystem (CSS) technologies to selling finished server CPUs for artificial general intelligence (AGI) applications. Meta is a co-developer and primary customer, while OpenAI also plans to adopt the products. Customers can purchase processors directly, reducing the time and cost required to develop and deploy their own chips, while Arm can increase its chip sales revenue. This is a planned business model expansion; beyond the stated rationale, the source does not state any further cause, and no confirmed shipments or realized sales are reported.
Neoverse core IPcompute subsystem (CSS)finished server CPUsArmDigiTimes Asia
According to The Wall Street Journal, Apple, once one of the most powerful buyers in the NAND flash market, is losing some of its negotiating leverage as AI-driven demand gives memory suppliers greater pricing power. Meta, Microsoft, and Amazon have signed long-term supply agreements with Kioxia this year at higher prices, strengthening the chipmaker's negotiating position. Separately, South Korean outlet Economy Tribune reports that Apple has reportedly turned to a long-term NAND supply agreement, with market watchers identifying Kioxia as the likely partner; the terms remain undisclosed and this is a reported plan. The report adds that Apple may also pursue long-term agreements with Samsung Electronics, SK hynix, and Micron to secure future LPDDR5X and LPDDR6 supplies. According to TrendForce, memory's share of the 256GB iPhone Pro's bill of materials rose from around 10% a year earlier to 34% in 3Q26 and could exceed 40% in 1H27; TrendForce also estimates the iPhone 18 Pro's total BOM cost could rise 38% YoY, potentially forcing Apple to sacrifice margins to maintain shipments.
NAND flashLPDDR5XLPDDR6Apple, Kioxia and 5 totalTrendForcePrice Movement
Related manufacturers
Apple, Kioxia, Samsung Electronics, SK hynix, Micron
This is a background technology column published on October 29, 2026 (authored by Professor Younghyun Kim of Hanyang University ERICA), explaining — not reporting — industry developments; it contains no price, capacity or policy event. The article states that AI data center bottlenecks have shifted from GPU compute speed to data movement: copper interconnects suffer signal loss, heat and repeater power overhead at high speeds and longer distances, so networks are shifting to silicon-photonics-based optical interconnects; co-packaged optics (CPO) places optical engines next to the switch ASIC to shorten electrical paths, increase bandwidth density and save power. It cites Meta's evaluation of a CPO switch system presented at ECOC 2025, in which power consumption in the optical interconnect portion was approximately 65% lower than a comparable pluggable architecture, with connection stability confirmed under the specific test conditions; companies such as NVIDIA and Broadcom are accelerating commercialization by introducing network products incorporating CPO technology. The article also describes LPO (removable modules with the DSP eliminated) and NPO (optical engines close to but outside the switch package) as alternative approaches, explains that HBM and CPO reduce GPU data-wait time at the memory and network levels respectively, and notes remaining CPO challenges including laser light supply, fiber connection, heat from ASICs, and yield improvement.
co-packaged optics (CPO)silicon photonicsHBMNVIDIA, Broadcom and 3 totalSK Hynix Newsroom
This is a market roundup (paid press release) reporting that major U.S. indices pushed higher midweek on semiconductor and tech earnings: the S&P 500 rose 1.51% over the week's three sessions to close at 7,739.13; the Nasdaq Composite rose 1.98% for the week to 26,468.60; the Dow gained 0.62% for the week to 52,536.29; and the VXN, a measure of Nasdaq volatility, fell 3.51 points for the week to 24.79. The source attributes the gains to semiconductor and tech earnings. On earnings: Texas Instruments reported third-quarter revenue of $6.06 billion, up 28% from the same quarter a year ago, with net income of $2.43 billion, EPS of $2.62, and operating profit up 73% to $2.87 billion, and guided fourth-quarter revenue of $5.80 billion to $6.30 billion with EPS of $2.45 to $2.79. On Broadcom: Bank of America, Blackstone, Citi and Morgan Stanley announced a $63 billion financing structure, executed through a special purpose vehicle to purchase Broadcom XPU AI accelerators and networking solutions to be leased to Anthropic, with deliveries expected starting in calendar 2027 and Broadcom providing residual value support equivalent to the first lien portion of the financing. The article also mentions Meta, IBM and Lockheed Martin developments as additional company news.
Marvell is reportedly considering acquiring Lumentum to expand its product portfolio. Lumentum produces optical communication lasers and optical transceiver modules and currently has a market capitalization of approximately US$83 billion, compared with Marvell's US$221 billion; Lumentum has also attracted a US$2 billion investment from NVIDIA. A potential acquisition would further broaden Marvell's product portfolio, fill gaps in its optical component offerings, and strengthen its ability to compete with Broadcom. Bernstein analysts cautioned that the potential deal's size could raise concerns over financing and integration, noting Marvell may be unable to fund it entirely with cash; as of its latest quarter Marvell held approximately US$3.92 billion in cash and cash equivalents. Background: earlier this year Marvell acquired photonics company Celestial AI, gaining access to its Optical Multi-Chip Interconnect Bridge (OMIB) technology, and reached a chip agreement with Google granting Google the right to purchase up to US$12.2 billion worth of Marvell shares. The deal remains at a reported, considering stage and is not confirmed as agreed or completed.
On October 27, AMD said it will invest US$1 billion in Meta's equity offering, joining Nvidia in buying into the social media company's fundraising for AI infrastructure; critics describe this pattern as circular financing. Alongside this, AMD gave an update on its hardware work with Meta, with Helios racks entering testing. The investment is announced only, and the source does not state a completion timeline or the cause.
Helios racksAMD, Meta and 3 totalDigiTimes AsiaPartnership/M&A
According to a report dated October 27, 2026, Rosenblatt Securities named AMD its top semiconductor pick heading into earnings season, citing strengthening data-center fundamentals and broadening demand despite recent share price declines across the sector. The firm noted that semiconductor stocks with significant data-center revenue exposure declined approximately 25% on average over the past month, while citing strong earnings reports from Penguin Solutions, Micron, TSMC, and Texas Instruments, along with Supermicro's positive preannouncement, as evidence that data-center fundamentals continue to strengthen. Rosenblatt expects TSMC's 2nm capacity to double in 2027, which will support the ramp of AMD's Venice server CPU family; the firm views Venice as the market's highest-performing server CPU, featuring 16 memory channels compared to 12 in the prior generation. AMD CEO Lisa Su recently increased the projected 2030 server CPU total addressable market to $220 billion from $120 billion. The firm said Meta's Muse and other emerging personal AI agents are driving server CPU demand. Rosenblatt's primary concern for data-center growth in 2027 and beyond is supply-chain capacity rather than demand weakness: Lam Research cited near-term supply constraints and Texas Instruments highlighted extended lead times for back-end equipment, but the firm characterizes these as tactical challenges the industry can address rather than evidence of severe product shortages or weakening demand.
semiconductorserver CPU2nm capacityAMD, TSMC and 7 totalYahoo Finance — TXN
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AMD, TSMC, Penguin Solutions, Micron, Texas Instruments, Supermicro, Lam Research
Meta has become the first of the four major US hyperscale cloud providers to report its latest earnings, and supply chain players are closely monitoring changes in the company's capital expenditure plans and investment priorities. Per the title, Meta prioritizes high-margin AI inference, while Wiwynn and Quanta are eyeing CPU server demand. The source does not state the cause, and no specific figures or dates are provided.
AI inferenceCPU serversMeta, Wiwynn and 3 totalDigiTimes Asia
The 13th Criminal Division of the Seoul Southern District Court held the fourth hearing on Oct. 22 in the case against Fadu executives over alleged violations of the Capital Markets Act, with former CEO Lee Ji-hyo, current CEO Nam Yi-hyun and executive vice president Won Jong-taek attending as defendants. Prosecutors disclosed internal Microsoft Teams conversations from March 2023 — including 'If we can't go public, we'll have a funding hole' and 'So we'll just go under in July' — arguing Fadu pressed ahead with its IPO despite knowing revenue would plunge; Fadu went public in August 2023. Prosecutors also alleged Fadu used earlier order forecasts for its securities registration statement despite knowing major customers including SMART Modular, SpaceX and SK hynix had postponed or suspended orders for the second half of 2023, with Fadu having projected shipments of 3,200 SSDs for SpaceX satellite servers in Q4 2023. According to prosecutors, former CEO Lee Ji-hyo instructed staff on May 18, 2023 to 'assume no orders from SpaceX for now,' and the following day SpaceX informed Fadu there would be no additional POs before Q3 2024. EVP Won Jong-taek wrote in May 2023 that 'even if we lower the annual revenue target from 240 billion won to 150 billion won, actual results will likely be far lower.' Fadu's production plan from late May 2023 had removed H2 SpaceX orders, and contract manufacturer Quanta Storage demanded compensation for prolonged equipment downtime. The defense countered that the registration statement figures were conservative, worst-case estimates: Fadu included only about 50% of SMART Modular's anticipated order volume, excluded more than 30,000 additional units proposed by SMART Modular in late April 2023 and a 43,500-unit forecast from Hagiwara Solutions in May 2023; on the SpaceX suspension, the May 19 remark came from a SpaceX technical engineer rather than a purchasing official, and Lee Ji-hyo separately confirmed with SpaceX's sales organization the possibility of orders resuming within the year. Fadu resumed shipments toward the end of 2023, but supplied 2TB models for Falcon 9 rockets rather than the originally planned 8TB satellite models, with substantially smaller revenue contribution. Second witness Park Jong-hyun, head of Fadu's SoC business team, testified the sharp 2023 decline in SSD controller shipments for Meta stemmed from issues between SK hynix and Meta: SK hynix told Fadu in late 2022 it expected to supply about 900,000 controllers annually to Meta, but the forecast was abruptly cut to 350,000 units on Jan. 6 due to a dispute, and SK hynix discontinued the existing DRAM used in Meta SSDs and began redesigning. Fadu planned to cut the price of its third-generation SSD controllers from $43–$48 to around $30 to regain Meta's business, and included 434,000 controllers for Meta in its 2023 forecast — exceeding the 350,000-unit forecast — which appeared to contradict claims the estimates were conservative. Fadu ultimately failed to secure additional Meta orders through SK hynix; Meta switched its SSD supplier to SanDisk in 2024, and since 2024 Fadu has supplied SSD controllers to Meta through SanDisk.
SSD controllerssolid-state drives (SSDs)Fadu, SK hynix and 8 totalThe Elec
Meta Platforms is facing rising financial pressure from long-term AI infrastructure spending: free cash flow turned negative in Q3 2026, and future lease and non-cancelable contract commitments climbed to about US$825 billion. The company also raised the lower end of its 2026 capex forecast by US$5 billion to US$135 billion, signaling continued AI expansion as financing and investment returns become new challenges.
CleanMax has partnered with Apple, Meta, and other technology companies to supply green power for their AI data centers. According to the source, these partnerships highlight how artificial intelligence (AI) data centers are intensifying global demand for renewable power. The source does not state supply volumes, timelines, or deal values.
At PyTorch Conference 2026, held in San Jose, California, on Oct. 20 local time, Google and Amazon unveiled the open-source frameworks TorchTPU and TorchNeuron, respectively, designed to simplify migrating existing AI applications from Nvidia GPUs to their own chips and to challenge Nvidia's CUDA ecosystem dominance. PyTorch, developed in 2016 primarily by Meta's (formerly Facebook's) AI research lab FAIR and used by approximately 85% of AI application developers worldwide, was originally designed around Nvidia GPUs and the CUDA platform, making migration to other chips difficult. TorchTPU, developed by Google in collaboration with Meta, according to Google, allows more than 98% of existing PyTorch models to run on TPUs simply by changing the device string in the code to model.to("tpu"), with conversion taking from a few minutes to a few days, and Google said it enabled TPUs to operate as native devices on an equal footing with GPUs and CPUs at the core PyTorch level. AWS's TorchNeuron similarly allows PyTorch-based AI models to run directly on AWS's Trainium AI chips, requiring developers to change only a few lines of device settings, replacing Nvidia's cuda with AWS's neuron. Amazon has released TorchNeuron as a public beta through GitHub under the Apache 2.0 open-source license and is also contributing code directly to the main PyTorch open-source project. Previously, migrating AI applications optimized for Nvidia's ecosystem to Google's or Amazon's proprietary AI chips took at least several days and, in more complex cases, several months; the new tools effectively remove these time and cost barriers. As TorchNeuron, TorchTPU and similar tools gain adoption, dedicated AI chips are expected to compete primarily on underlying performance, power efficiency and pricing, though additional time will be needed to verify compatibility, performance and costs for individual models.
Nvidia CUDATorchTPUTorchNeuronGoogle, Amazon and 5 totalThe Elec
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Google, Amazon, Meta, Nvidia, Amazon Web Services (AWS)
Meta Platforms reported third-quarter results: for the quarter ended September 30, 2026, revenue rose 26% year on year to US$64.6 billion, and its core advertising business is still growing fast enough to carry one of the largest infrastructure programs in the technology industry (its AI build-out); meanwhile the operating margin fell to 20% from 40% a year earlier, with legal liabilities becoming a material cost line. The source does not state the cause.
Elon Musk said on October 20, during a live broadcast of SpaceX's Q3 2026 earnings call on X, that ASML and other critical semiconductor equipment suppliers have expedited shipments to the Terafab semiconductor manufacturing facility, a joint megaproject between Tesla and SpaceX, to support his aggressive timeline. He said the company is targeting volume chip production at Terafab's primary facility in Gibbons Creek, Texas, by the third or fourth quarter of 2028, emphasizing that the timeline is highly aspirational and carries 'big error bars'; SpaceX plans to manufacture its first experimental test chip at its research fabrication facility in Austin, Texas, around Q2 2027. Terafab will use traditional extreme ultraviolet (EUV) lithography systems utilizing Intel's 14A manufacturing node; Intel officially joined the Terafab venture in April 2026 to co-develop and refactor silicon fabrication technology. According to unofficial sources, Terafab's first EUV tool was reportedly slated for delivery in mid-2027, and it remains unclear if this is the expedited timeline Musk referred to. Other major suppliers include Applied Materials, Lam Research, and KLA Corporation, as well as Japan's Tokyo Electron; Tesla and SpaceX are also in talks with about 10 South Korean equipment makers, including Hanmi Semiconductor (advanced packaging equipment) and HPSP (high-pressure hydrogen annealing equipment). Musk also outlined AI compute goals: 2.5 to 3 GW of computing capacity active by the end of 2026, a total of 13 GW by the end of 2027, and plans to bring a 440,000-GPU Nvidia 'Vera Rubin' training cluster online by the end of Q2 2027. The event remains a plan/target and volume production has not been achieved.
EUV lithography systemslogic chipsmemoryASML, Tesla and 11 totalTom's HardwareCapacity Change
At GTC Berlin (report published the week of 21 Oct 2026), Nvidia unveiled modular datacenter containers called DSX pods, as a plan: starting in 2027, Nvidia and its partners will offer Vera Rubin rack systems fully plumbed, wired, and ready for deployment in modular bit barns. Each DSX pod weighs 28 metric tons and contains seven Vera Rubin NVL72 racks packing 504 GPUs and 252 Vera CPUs, built by partners such as HPE, Dell, and Schneider Electric, with customization between vendors such as HPE versus Dell and Eaton versus Schneider. Nvidia says the pods will cut datacenter deployment times from six months to as little as two weeks because every fitting, cable, and component will be validated before leaving the factory — a vendor claim and a plan, not an achieved result. The first DSX pods powered by Vera Rubin rack systems are expected to roll off the production line early next year. Nvidia also laid out new DSX specs for waterless datacenters using closed-loop coolants and dry coolers rather than water-thirsty cooling towers. The source frames this as part of the company's ongoing effort to quash supply chain challenges before they start eating into revenues.
Meta revealed this week that more than 11 percent of the GPUs at its Prometheus supercluster in New Albany, Ohio, are either dead or sitting idle, waiting to step in when a GPU fails. Prometheus is among Meta's largest compute deployments to date, powered by Nvidia's Grace Blackwell and (soon) Vera Rubin rack systems, and Meta says the supercluster will eventually scale to a gigawatt of capacity spanning about a million accelerators. The cluster is currently powered by a combination of GB200 and GB300 systems, each with 72 GPUs per NVLink domain, but only 64 are ever in use at any given moment, with the other eight essentially hot spares; Meta did this because a single failed GPU would take out an entire rack and interrupt the training run. Meta says that when it began the first phase of the Prometheus deployment it was experiencing roughly 1,000 interruptions per day for every 8,000 GPUs, and in the year since it has cut interruptions by 99 percent, to about 11 per day per 8,000 GPUs. Meta also says it achieved more than 85 percent goodput for pretraining and more than 90 percent for reinforcement learning on its latest model Muse Wonder, and as it works toward a million GPUs it hopes to reduce the interruption rate to just two per day for every 8,000 GPUs, or about 100,000 GPU-hours mean time between interrupts. The source does not state any implication for GPU market supply or demand.
Sandisk announced in a press release issued from Milpitas, California, on October 14, 2026, that it will be the exclusive provider of flash storage for Meta VR Glasses, supplying Meta-certified microSD Express memory cards and USB-C flash drives when the glasses launch in spring 2027. The arrangement remains at the announcement stage and the product has not yet launched. The source does not state the cause.
Sandisk announced on Oct. 19 that it will be the exclusive supplier of flash memory for Meta's virtual reality (VR) glasses, which are scheduled for launch in spring 2027. The products include microSD Express memory cards and USB-C flash drives. Sandisk recently entered into a partnership with Meta to jointly design flash memory products for VR applications, and the products have undergone preliminary testing to meet Meta's quality standards. Sandisk will begin selling the related storage products following the launch of Meta's VR glasses. Sujin Park, vice president of consumer products at Sandisk, said high-performance microSD Express memory cards are compatible with Meta VR glasses, allowing users to instantly expand their available storage. The source does not state any impact on price or supply.
On October 16, 2026, TrendForce reported that Apple reportedly plans to skip the M6 Pro, Max, and Ultra and jump straight to the M7, with the M7 Ultra targeted for 1H28 (first half of 2028). According to the report, a 2027 Mac Studio refresh looks unlikely, while OLED MacBook Pros may retain the M5 Pro and Max chips. The source does not state the cause.
M7 chipM7 Ultra chipM6 Pro chipAppleTrendForce Official (Market Data)
Following TSMC's 3Q26 earnings, foreign brokerages published takeaways: TSMC raised its 2026 revenue growth outlook to 44% YoY and forecast another record quarter in 4Q26, while maintaining 2026 capex guidance at US$60–64 billion but signaling significantly higher spending over the next three years; the article notes that amid reports of rising semiconductor equipment prices, TSMC acknowledged that "tool inflation is real," setting the stage for further capex increases. Brokerages accordingly raised capex forecasts: UBS is the most bullish, expecting spending to surge roughly 45% YoY to US$90 billion in 2027 before climbing to US$105 billion in 2028; Morgan Stanley, citing initial checks with equipment suppliers, suggested EUV tool bookings could double in 2027 followed by another 25–30% increase in 2028, and raised its capex estimates to US$83 billion and US$92 billion respectively; Goldman Sachs and BofA Securities both see 2027 spending reaching US$85 billion. These figures are plans/forecasts, not realized spending. Capacity: TSMC plans to accelerate 2nm production and expand 3nm capacity (four fabs planned for the latter); 2nm's revenue share jumped to 8% in 3Q26 from 3% the previous quarter, with management expecting capacity to "more than double in 2027." Margins face headwinds: 4Q gross margin guidance of 65–67% suggests limited upside from 3Q's 66.4% (brokerage assessments attribute this to the 2nm ramp weighing on profitability); Citi, UBS and Goldman Sachs all project a 66.6% gross margin for 2026, rising to 66.7–68.9% in 2027 and 67.1–68.9% in 2028. Pricing: Daiwa forecasts TSMC's blended ASP on 8-inch-equivalent wafers rising from US$3,513 in 2026 to US$4,034 in 2027 and US$4,231 in 2028; UBS's model is more bullish at US$3,691/US$4,417/US$5,177 for 2026/2027/2028. Advanced packaging: Aletheia expects cutting-edge wafer revenue to double and advanced packaging revenue to quadruple between 2026 and 2028; Goldman Sachs projects CoWoS capacity reaching 1.275 million wafers in 2026 (about 106,000 per month), surging 114% YoY to 2.73 million in 2027 (227,500 monthly), then climbing another 27% to 3.48 million wafers in 2028 (nearly 290,000 per month).