Research Notes
Research Note: IBM to Acquire Confluent for Real-Time Event Streaming
IBM has entered a definitive agreement to acquire Confluent for $11 billion in cash ($31 per share), adding enterprise-grade Apache Kafka streaming infrastructure to its
Research Note: Lenovo’s Expanded Storage and HCI Portfolio for Enterprise Modernization & AI Workloads
Lenovo announced a comprehensive update to its storage and hyperconverged infrastructure portfolio. The announcement includes four new ThinkSystem DS Series all-flash SAN arrays, three ThinkAgile HCI product lines supporting VMware, Nutanix, and Microsoft Azure Local environments, and expanded lifecycle services.
Research Note: Qualcomm Acquires RISC-V Player Ventana
Qualcomm Technologies this week announced the acquisition of Ventana Micro Systems, a developer of high-performance RISC-V CPU designs for datacenter and enterprise applications. The acquisition brings proven RISC-V engineering talent and existing chiplet designs into Qualcomm’s portfolio, complementing its custom Arm-based Oryon CPU development.
What the 5G‑OT Alliance Summit Revealed About Private 5G
2025 was defined more by adoption than by technical breakthroughs.
Research Note: Marvell to Acquire Silicon Photonics Player Celestial AI
Marvell Technology recently announced a definitive agreement to acquire Celestial AI for $3.25 billion in upfront consideration ($1 billion cash plus $2.25 billion in stock), with potential earnout payments of up to an additional $2.25 billion based on revenue milestones through fiscal 2029.
Research Note: AWS S3 AI-Focused Enhancements
AWS announced several enhancements to its S3 storage platform at its recent re:Invent 2025, strengthening its object storage capabilities for adjacent markets, including vector databases, enterprise file systems, and enterprise data lakes.
The announcements include the general availability of S3 Vectors with substantially increased scale limits, new S3 integration with FSx for NetApp ONTAP file systems, cost-optimization features for S3 Tables, and expanded performance monitoring through S3 Storage Lens.
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