Research Notes
Research Note: UALink Consortium Expands Board, adds Apple, Alibaba Cloud & Synopsys
The Ultra Accelerator Link Consortium (UALink), an industry organization taking a collaborative approach to advance high-speed interconnect standards for next-generation AI workloads, announced an expansion to its Board of Directors, welcoming Alibaba Cloud, Apple, and Synopsys – joining existing member companies like AMD, AWS, Cisco, Google, HPE, Intel, Meta, and Microsoft.
Research Note: Red Hat OpenShift Virtualization Engine
Red Hat announced the general availability of Red Hat OpenShift Virtualization Engine, a tailored version of its OpenShift orchestration platform for virtualization workloads.
The new offering utilizes the open-source KVM hypervisor and can run on-premises hardware with Red Hat Enterprise Linux and bare-metal cloud services.
Research Note: HPE Aruba Introduces Retail-Specific Offerings at NRF
At NRF, HPE showed off advancements to securely connect IoT devices, deliver real-time AI insights at the edge, and provide reliable pop-up and backup connectivity for critical applications like credit card processing.
Research Note: Oracle Exadata X11M
Oracle recently launched of its latest Exadata platform, the Oracle Exadata X11M. Purpose-built to optimize the performance of Oracle Database, including Oracle Autonomous Database, X11M is a significant leap forward in speed and efficiency compared to previous generation Exadata systems for cloud, multi-cloud, and customer data centers.
Research Note: Marvell Custom HBM for Cloud AI
Marvell recently announced a new custom high-bandwidth memory (HBM) compute architecture that addresses the scaling challenges of XPUs in AI workloads. The new architecture enables higher compute and memory density, reduced power consumption, and lower TCO for custom XPUs.
Research Note: Enfabrica ACF-S Millennium
First detailed at Hot Chips 2024, Enbrica recently announced that its ACF-S “Millennium” chip, which addresses the limitations of traditional networking hardware for AI and accelerated computing workloads, will be available to customers in calendar Q1 2025.
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