A field notebook on the platters, cells, and file systems holding up the AI build-out — for the people who build and buy that infrastructure, and the leaders they report to.
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Samsung's HBM5 and zHBM roadmap, Micron's widening HBM silicon penalty, the race for 16-Hi HBM4, AWS's new Graviton5 memory instances, SSD pricing at 6.5x, and this week's Uplevel Highlight on hybrid bonding.
Read Issue 04 →MayaNAS hit 32.42 GB/s of MLPerf-validated checkpoint throughput straight from S3-compatible object storage, showing GPU-scale AI training no longer needs expensive local-SSD tiers to reach parallel-filesystem speeds.
All-flash array revenue hit $1.31B on 350 new AI and data-lake deals, another sign enterprises now treat data readiness, not just GPU supply, as the bottleneck to production AI.
Samsung's first public roadmap details show HBM5 targeting 2x HBM4E performance (mass production ~2028) and a new 'zHBM' design stacking DRAM directly on the processor for up to 8x performance after 2029, mapping out where AI memory bandwidth is headed for years to come.
A second major memory vendor is now previewing an HBM alternative aimed at the AI-driven processor-to-memory bandwidth gap, this one promising more than 10x HBM's bandwidth at lower energy per bit.
DDR5-8800 memory (up from DDR5-5600) and 5x larger L3 cache directly target the memory-bandwidth bottleneck in LLM inference and real-time analytics, showing hyperscalers are now tuning general-purpose compute specifically for AI memory pressure.
Tape remains the low-power archival tier under AI storage hierarchies; the dip and rebound (tied to trade uncertainty and a new 40TB cartridge) matters for anyone modeling the cost curve below all-flash and disk.
Checked twice daily. The full story gets the proper treatment in the next weekly issue.
Most weeks are a fast read. Occasionally, a topic gets the long treatment instead.
This week's numbers, curated news with a "why it matters" take, one rotating deep-dive story, a quick storage/memory term explained, and what's coming up.
Occasional full-market issues covering every enterprise storage vendor, hyperscaler storage, the HDD capacity race, memory and flash, field reliability data, and an optimization playbook.
AI DevOps engineers, infra leads, and the executives they report to — the people who actually buy and operate storage and memory infrastructure. Sponsor slots are open. Get in touch to inquire.
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