Inference's move toward edge devices and dense, memory-hungry racks should drive demand for specialized chips, links, power delivery and cooling. McKinsey projects inference at 60% of AI computing demand by 2030. Ambarella makes on-device AI chips; Astera Labs links GPUs, memory and networks; Credo supplies short copper connections; Rambus earns from memory interfaces; Navitas reduces power waste; Modine cools dense racks; and Super Micro builds inference-specific server racks at volume. x.com  … Show more

Qualcomm could rerate from a handset chipmaker into an AI infrastructure story now that Amazon is co-developing multiple generations of inference silicon with it. As AI shifts toward stacks built around workloads, power and cost, Qualcomm need not beat Nvidia, only help optimize around the GPU. Amazon and Qualcomm are also working on 1.6T links using Qualcomm SerDes and optical DSPs, entering a space led by Broadcom and Marvell. Deployment volumes and further design wins would confirm it. x.com 

Qualcomm's huge mobile exposure is a reason to be wary of the stock even if it looks cheap. Its server CPU effort is promising, but how much share it can take from incumbents remains to be seen. x.com 

Qualcomm is becoming a fuller AI infrastructure player, and the market may re-rate it if its $5B fiscal 2027 data center revenue target is met. Most of that target comes from custom chips for one US and one Chinese hyperscaler, about $2B each at mid-30s gross margins. Its High Bandwidth Cache stacks memory on logic for about 6x HBM's bandwidth per watt, easing the inference memory wall. Alphawave's 800G DSPs already earn revenue, and a Meta custom CPU deal carries a minimum share guarantee. … Show more

Qualcomm's new HBC near-memory computing architecture, unveiled at Investor Day, is technically meaningful despite dismissals that LPDDR cannot beat SRAM or HBM. The 3D IC design fits Qualcomm's long-prepared LPDDR strategy for AI, an era even Jensen Huang acknowledges has arrived. That assumes the yield ramp is executed successfully. x.com 

Qualcomm is unlikely to rebound meaningfully this year because on-device AI needs more mobile DRAM that phones are not getting. Industry checks suggest Apple walked back full WMCM packaging for the iPhone 18, adopted to fit more DRAM for on-device AI, using it only in high-end models with no RAM upgrade. If Apple, with the strongest buying power, faces this, Qualcomm would need an extraordinary breakthrough past the memory wall. This counters @citrini's view of it as an edge-AI winner. x.com 

Qualcomm's data center option is not yet in the price, even after a 75% one-month rally that prices its edge AI story in smartphones, cars and glasses. Its AI200 and AI250 data center chips are going to a hyperscaler this year, taking Qualcomm directly into Nvidia's territory with more programmable chips, a point flagged by @KatieTarasov. x.com 

Qualcomm looks undervalued among tech stocks given its opportunities in physical AI, CPUs and an emerging data-center market. x.com 

Qualcomm's multi-generation custom silicon pact with Amazon extends into optical connectivity, making it a second source for AWS's 1.6T DSPs. The companies are building solutions up to 1.6T and beyond on Qualcomm's SerDes and optical DSP technology, and Qualcomm issued Amazon a warrant for up to 25 million shares. Volume 1.6T DSPs at AWS are unlikely before late 2027 given long qualification cycles, but the deal pressures Marvell's DSP pricing at AWS, its most profitable product. x.com 

Broadcom, Arista, Celestica, Credo and Astera Labs should inherit AI network spending as flatter data-center designs shift dollars from optical transceivers to silicon, integration and copper. B. Riley warns Amazon's RNG and OpenAI's MRC protocols could cut transceiver demand 40-50%, though the facility-wide drop looks nearer 25-35%. Broadcom ASICs run MRC routing, Arista enables flat clusters, Celestica builds custom racks, Credo copper replaces short optics, Astera retimers ease bottlenecks. … Show more