Hewlett Packard Enterprise’s $7.6B AI backlog is waiting on memory chips to catch up

Hewlett Packard Enterprise has a problem most companies would love to have: too many customers, not enough parts. The company exited fiscal Q3 2026 with a $7.6 billion AI backlog, up 14% from the prior quarter, driven by enterprise and government clients racing to deploy AI infrastructure at production scale. The bottleneck isn’t demand. It’s DDR5 DRAM and NAND flash memory, the critical components that power the high-bandwidth memory modules AI servers devour. Those supply constraints are expected to persist into 2027. The numbers behind the surge HPE’s quarterly revenue hit $12.2 billion, a 34% jump year-over-year. AI systems orders alone reached $2.4 billion for the quarter, climbing more than 30% sequentially. Networking wasn’t far behind. Orders in that segment rose 36% on a normalized basis, with AI-specific networking orders totaling $700 million in Q3. That figure got a boost from HPE’s acquisition of Juniper Networks, which plugged a gap in the company’s networking portfolio at exactly the right moment. To keep pace with the incoming orders, HPE has been stockpiling. Inventory swelled to $11.82 billion, a deliberate move to buffer against the memory shortage and ensure the...