Micron's HBM4 Capacity for 2026 Is Fully Sold Out as Revenue Triples and the AI Memory Story Widens

Micron sees 230% YTD stock gain, HBM4 capacity sold out for 2026, Q2 revenue hits $23.86B, and expands memory products from data center to edge and automotive.

Micron's stock has more than tripled in 2026, gaining over 230% year-to-date as the memory maker rides the artificial intelligence wave harder than almost any other semiconductor supplier. But the company used its COMPUTEX keynote in Taipei to insist the opportunity runs far deeper than a single product line. With second-quarter revenue surging to $23.86 billion — up from $8.05 billion a year earlier — Micron is betting that every layer of the memory stack will feed the AI boom.

The headline-grabbing news from the show floor is that every unit of HBM4 production capacity for 2026 has already been spoken for. Micron's 36-gigabyte, 12-layer HBM4 stack, built for NVIDIA's upcoming "Vera Rubin" architecture, is now in mass production. It delivers transfer speeds above 11 Gb/s and more than 2.8 TB/s of bandwidth per stack. Internal simulations show the new memory improves inference throughput on large language models by a factor of 2.6 compared with HBM3E while cutting energy consumption by 20%. A denser 48-GB, 16-layer variant is already being sampled for the most compute-intensive workloads.

The HBM4 bonanza is only one piece of a deliberately broad product offensive. Micron introduced the world's first 256-GB SOCAMM2 module, an LPDDR-based design that consumes one-third the power and occupies one-third the board space of traditional RDIMMs, running at 9.6 Gbps. On the SSD front, the 9650 is the company's first commercially available PCIe Gen6 drive for AI inference, while the 6600 ION packs up to 245 TB and can slash rack footprint by as much as 82% compared with conventional hard-drive arrays.

The push extends well beyond the data center. Micron is targeting AI inference at the edge with LPCAMM2 modules hitting 9,600 MT/s using LPDDR5X, and GDDR7 memory that promises 1.5 TB/s of system bandwidth — 60% more than GDDR6 and up to 33% higher AI inference throughput. Client SSDs such as the 4600 PCIe Gen5 model can load large language models in under a second and are 107% more power-efficient than the prior generation. In automotive, UFS 4.1 storage supports speeds of 4.2 GB/s, thermal resilience up to 115°C, and functional safety for driver-assistance systems.

The financial engine behind this product blitz is running hot. Micron's fiscal second quarter, which ended February 26, 2026, delivered not only $23.86 billion in revenue but also a GAAP net income of $13.79 billion and operating cash flow of $11.9 billion. That revenue figure compares with $13.64 billion in the prior quarter and just $8.05 billion in the year-ago period — a vivid illustration of how sharply the memory cycle has turned. For the current third quarter, management has guided toward $33.5 billion in revenue, with results due on June 24.

The stock's trajectory mirrors the financial momentum. Shares hit a 52-week high of €888 on Monday, up 15.1% in the past week and 80.2% over the past month. The 12-month gain stands at an extraordinary 935%, and Micron's market capitalization has crossed the $1 trillion threshold. CEO Sanjay Mehrotra sold roughly 40,000 shares in early May under a predetermined Rule 10b5-1 trading plan, at prices between $511.91 and $545.39. He still holds more than 424,000 shares directly and over 600,000 indirectly through trusts — a position that signals continued confidence even as the stock sits near all-time highs.

Yet a potential headwind looms. Industry reports indicate possible quality issues with the base chip of NVIDIA's Vera Rubin platform, affecting both Micron and rival SK Hynix. If the problem proves material, the ramp of NVIDIA's next-generation architecture could slow, temporarily dampening near-term HBM4 demand. Micron's next earnings call on June 24 will provide the first real test of whether the AI memory story can maintain its blistering pace — or whether the market has already priced in perfection.