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

Agentic AI's repeated context favors cache memory and storage demand for Micron, SK hynix and Sandisk over fresh GPU computation. Per @demian_ai, about 95% of input tokens for DeepSeek V4.1 Flash on OpenRouter were cache hits; storage matters unless routing and caching keep almost everything in GPU memory. New products such as 3D DRAM and HBM-on-logic could be the final trigger for a full memory-stock re-rating. x.com  x.com 

Inflation, rising rates, Chinese competition and rising AI-related financial costs are pressuring the memory market. Micron, Samsung and SK hynix look exposed; waiting for the cycle to turn. x.com  x.com 

Networking, power and compute look more durable than cyclical memory in the AI buildout. Lumentum's revenue compounded year after year across the 2010s and 2020s, unlike Micron's; AWS revenue also compounded. Lumentum, Nebius, Bloom Energy and Credo should heavily outperform SanDisk and Micron from here, though AI itself remains heavily doubted. x.com  x.com 

CXL memory pooling breaks AI's second wall, memory, lifting effective DRAM utilization from about 50% to 85% with no new chips and enabling 3x concurrent LLM instances. Astera Labs is the purest, priciest play at about 31x forward sales, with CXL driving 179% Q4 revenue growth. Marvell is diluted but has the most durable balance sheet. Penguin Solutions is cheap and re-rating into AI-inference memory. Micron offers CXL as free optionality at about 9x forward, the cheapest in big-cap semis. x.com  … Show more

Memory makers' pricing power looks unsustainable because betting on a long-term bottleneck is betting against human ingenuity. Memory players are squeezing customers in a way ASML and TSMC historically chose not to; Micron may have the right to get back at Apple, but that hurts long-term relationships, and disregarding the non-AI business could come back to bite. Even if inference demand drives memory prices, as @bnemethbrown argues, whether regular DRAM gets commoditized is still open. x.com  … Show more

CXL memory has another growth market beyond AI inference: in-memory databases and real-time analytics such as fraud detection, recommendations and risk engines, which are bound by memory capacity, not compute. Penguin says its MemoryAI platform delivers 150% more transactions per second with Leo CXL expansion. Astera Labs' Leo controllers show 73% more recommendations per second and 40% faster chatbot responses. Marvell's Structera chips suit databases as much as LLM inference. x.com 

Kimi K3's engineering workarounds for memory limits should lift demand across AI infrastructure suppliers, and more such innovations are expected. Moving prompt history to CPU memory favors Astera Labs, with a 2027 custom Leo CXL design win, and perhaps Penguin Solutions. NVMe overflow memory favors Phison. Denser racks lift Semtech and Credo interconnects. Mass sandboxes favor JFrog and Cloudflare. Rambus supplies memory buffer chips; cluster migrations favor Lumentum's optical switching. x.com  … Show more

Micron faces a tough road through 2027 because the current AI spending path is not economically sustainable and tech progress can undercut memory demand. Micron's weak price action on blowout earnings is a tell. Token usage will keep rising, but Nvidia is already pivoting to LPUs with Groq, and tech progress should never be underestimated. x.com  x.com  x.com 

Memory is the part of the AI stack with pricing power now, as scarcity migrates from GPUs in 2023 to memory today. HBM is sold out, contract prices keep repricing higher, and Nvidia raised server prices citing memory costs; models cannot run without the memory to hold them. That supports Micron, SanDisk and Penguin Solutions. Micron's blowout print is not fully priced in if its trajectory and execution continue, leaving some alpha. x.com  x.com