Skip to main content

IBM Service Provider Delivery Environment

IBM outlined its IMS (Internet Protocol Multimedia Subsystems) architecture to help telecom service providers transition to Next Generation Networks. The strategy uses various industry components and leverages the IBM Service Provider Delivery Environment (SPDE) framework. Legacy and evolving components are integrated by using open computing standards.

IBM will provide its telecommunications industry clients pre-integrated business solutions that are fully tested and designed to meet carrier grade quality standards. The integrated hardware and software components will form a high-performance service delivery platform based on Rational, Tivoli and WebSphere software.

IBM plans to leverage its eServer BladeCenter T and CarrierGrade Linux computing platform. The company said it will soon announce related software offerings for creating, integrating, executing current and next generation services in a flexible, cost-effective manner.

Popular posts from this blog

AI-Driven Data Center Liquid Cooling Demand

The rapid evolution of artificial intelligence (AI) and hyperscale cloud computing is fundamentally reshaping data center infrastructure, and liquid cooling is emerging as an indispensable solution. As traditional air-cooled systems reach their physical limits, the IT industry is under pressure to adopt more efficient thermal management strategies to meet growing demands, while complying with stringent environmental regulations. Liquid Cooling Market Development The latest ABI Research analysis reveals momentum in liquid cooling adoption. Installations are forecast to quadruple between 2023 and 2030. The market will reach $3.7 billion in value by the decade's end, with a CAGR of 22 percent. The urgency behind these numbers becomes clear when examining energy metrics: liquid cooling systems demonstrate 40 percent greater energy efficiency when compared to conventional air-cooling architectures, while simultaneously enabling ~300-500 percent increases in computational density per rac...