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  • AI HW SW CoDesign Workstream: A collaborative approach to designing hardware and software for artificial intelligence applications.
  • Advanced Cooling Facilities: State-of-the-art cooling solutions for data centers.
  • AI Hardware: Hardware components designed for artificial intelligence and machine learning applications.
  • AI/ML Workloads: Workloads related to Artificial Intelligence and Machine Learning processes.
  • APAC (Asia-Pacific): A region comprising countries in East Asia, South Asia, Southeast Asia, and Oceania.
  • Cloud Infrastructure: Infrastructure services and technologies for cloud computing.
  • Cloud Service Model Workstream: A group focusing on developing cloud service models.
  • Cloud Computing: Computing services and storage delivered over the internet.
  • Cold Aisle Containment: Cooling technique where cold air is directed to the front of server racks.
  • Cold Plate: A cooling technology used to dissipate heat in data centers.
  • Colocation Facilities: Data center facilities where multiple organizations can rent space for their servers and infrastructure.
  • Composable Memory System: A memory architecture that allows dynamic allocation of memory resources.
  • Containers & Kubernetes: Containerization technology and orchestration platform for managing containerized applications.
  • CUDA: A parallel computing platform and application programming interface created by NVIDIA.
  • Ceph: A distributed storage system designed for high performance and scalability.
  • Data Center Cooling: Techniques and technologies to maintain optimal temperatures in data centers.
  • Data Center Design: Architectural planning for efficient data center layouts.
  • Data Center Efficiency: Methods to optimize energy usage and resource allocation in data centers.
  • Data Center Facility: Infrastructure for housing servers, storage, and networking equipment.
  • Data Center Management: Strategies and software for managing data center operations.
  • Data Center Networking: Networking solutions designed specifically for data center environments.
  • Data Center Optimization: Techniques to enhance the efficiency and performance of data centers.
  • Data Center Solutions: Comprehensive solutions for data center infrastructure and management.
  • Data Center Sustainability: Environmentally conscious practices and technologies in data centers.
  • Data Center Technologies: Advanced technologies utilized in modern data centers.
  • Docker: A platform for developing, shipping, and running applications in containers.
  • Edge Computing: Decentralized computing infrastructure for processing data near the source.
  • Efficient Cooling Systems: Cooling systems designed to minimize energy consumption.
  • Enterprise IT Solutions: IT solutions tailored for enterprise-level organizations.
  • Enterprise Connectivity Solutions (ECS): Solutions for connecting enterprise networks.
  • Foundation Staff: The team behind the Open Compute Project (OCP) Foundation.
  • Hardware Design: Design principles and methodologies for creating efficient hardware components.
  • Hardware Fault Management – Incubation: Developing solutions for hardware fault management.
  • Hardware Management Module: Management module for efficient hardware control and monitoring.
  • High-Density Computing: Computing solutions designed to handle high volumes of data and processing.
  • High Performance Computing (HPC): Computing systems designed for high computational power.
  • Hyper-v: A virtualization platform developed by Microsoft.
  • Integrated Solutions: Comprehensive IT solutions that include hardware, software, and services.
  • Infrastructure as a Service (IaaS): Cloud computing services that provide virtualized computing resources.
  • Modular Data Center: A data center design that uses prefabricated modules for scalability.
  • Networking: Solutions and technologies for network infrastructure.
  • NIC (Network Interface Card): Hardware that connects computers to networks.
  • ONIE (Open Network Install Environment): An open-source initiative for network switch installation.
  • Open Compute Hardware: Hardware designed with open standards and specifications.
  • Open Compute Project (OCP): An open-source hardware community focusing on data center design and efficiency.
  • OpenRMC-DM: An open-source hardware management module.
  • Open System Firmware: Open-source firmware for server hardware.
  • OpenShift: A Kubernetes-based container platform developed by Red Hat.
  • OCP Community: The community of organizations and individuals involved in the Open Compute Project.
  • OCP Compliant Hardware: Hardware components that adhere to OCP specifications and standards.
  • OCP Experience Centers: Centers demonstrating OCP equipment and concepts to potential adopters.
  • OCP Initiatives: Specific projects and programs within the Open Compute Project.
  • OCP Ready™ certified data center facilities: Facilities supporting higher density compute, artificial intelligence (AI), and machine learning (ML) workloads.
  • OCP Specifications: Detailed requirements and guidelines outlined by the Open Compute Project.
  • ONIE (Open Network Install Environment): An open-source initiative for network switch installation.
  • Optimized Hardware: Hardware components fine-tuned for specific tasks and applications.
  • Platform as a Service (PaaS): Cloud services providing a platform for application development.
  • Public Cloud Services: Cloud computing services provided by third-party vendors accessible via the internet.
  • Rack Scale Design: Design approach where resources are scaled at the level of server racks.
  • Rack-Level Hardware: Hardware components designed to be integrated into server racks.
  • Rack-Mount Servers: Servers designed to be mounted in standard server racks.
  • Sustainability: Environmental considerations and sustainable IT practices.
  • Switch Abstraction Interface (SAI): An open standard for programming network switches.
  • Top-of-Rack Switches: Network switches placed at the top of server racks for efficient networking.
  • Traditional Data Centers: Conventional data centers with legacy infrastructure and design.
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