At HPE Discover 2026, HPE announced enhancements to Morpheus, Zerto, and Alletra that extend a common management framework across virtualization, workload mobility, cyber resilience, and AI-ready data infrastructure.
Databricks’ DAIS announcements position it as an open foundation for building, deploying, governing, and scaling agents across enterprise data.
Capacity climbed 116% since 2017 while drive throughput rose just 18%, and WD’s access-density push is built to close that widening gap
The Dragonwing IQ10 blueprint shows Qualcomm delivering complete solutions to partners, milliwatt to megawatt; conversion will be the test of the Compute Continuum Vision.
NetBox Labs is transforming the network automation landscape by evolving its open-source system of record into an end-to-end infrastructure intelligence platform designed to orchestrate multi-vendor environments for both human engineers and autonomous AI agents.
Equinix leverages its expanded alliance with Cisco, NVIDIA, and Presidio to transform its carrier-dense infrastructure into a turnkey AI Factory ecosystem, enabling enterprises to mitigate technical risk, validate hybrid workloads in a live lab environment, and scale production AI faster than wholesale competitors can facilitate.
Understanding Platform Engineering 2.0: Five forces shaping the AI era, why your infrastructure needs a reset, and how to evolve your internal platforms now.
HPE recruits eight quantum partners across four qubit modalities, wagering that exascale Cray leadership, not hardware ownership, decides the hybrid quantum race.
HPE is advancing its agentic enterprise strategy by delivering a unified, full-stack AI infrastructure that integrates self-driving networking portfolios, open AMD Helios architectures, and unified SASE platforms to eliminate operational complexity, maximize GPU efficiency, and enforce autonomous Zero Trust security across highly distributed environments.
Accelerate 2026 expands Enterprise Data Cloud with new capabilities for data discovery, contextualization, governance, and automation as organizations work to prepare information for AI initiatives.
