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Today’s Storystream

Marc Hamilton, VP of Solutions Architecture at NVIDIA, will headline Data Center World 2025 with a keynote on AI-fueled data center advancements. Focusing on NVIDIA’s Omniverse-powered digital twin technology, Hamilton will showcase how accelerated computing and energy-efficient designs are transforming facilities to support massive GPU deployments. The event, April 14-17 in Washington, D.C., promises insights into next-gen sustainability and operational excellence.

Meta Platforms plans to secure up to 4 GW of nuclear energy for its data centers by the early 2030s, exploring both conventional and small modular reactors. This bold move underscores Meta’s commitment to clean, reliable energy for AI advancements. Following similar efforts by Alphabet and Amazon, Meta’s initiative could accelerate the development of next-gen nuclear technologies, bridging the gap between tech and energy innovation.

At AWS re:Invent, Amazon Web Services unveiled its Trainium2-powered EC2 UltraServers, delivering 83.2 petaflops for training massive AI models. A collaboration with Anthropic, dubbed Project Rainier, will leverage these capabilities for groundbreaking advancements in AI. AWS also teased the Trainium3 chip, promising double the performance and 40% energy efficiency gains by 2025. Enhanced data center innovations further optimize AI workloads, solidifying AWS as an AI powerhouse.

OVHcloud plans to complete its Milan 3-AZ cloud region by 2025, marking its first tri-zone deployment outside France. The company aims to launch five more 3-AZ regions globally and scale its Local Zones initiative to 100 locations by 2026. By achieving certifications like SecNumCloud and ISO 27001, OVHcloud reinforces its leadership in delivering secure and high-performance cloud solutions tailored for enterprise resilience.

HostColor.com introduces Remote Desktop hosting and RDP servers, compatible with Windows, Linux, and MacOS. Offering scalable cloud or bare metal options, customers can choose from over 100 global data centers. Designed for SMBs and professionals, the service features complimentary infrastructure support, no data transfer fees, and up to 300Gbps connections—streamlining secure, on-the-go access for modern businesses.

Elastic has integrated Amazon Bedrock into its Observability platform, empowering Site Reliability Engineers to monitor LLM performance metrics like errors, latency, and usage. This collaboration streamlines proactive issue resolution for generative AI applications. Elastic’s AI Assistant further aids by analyzing data and offering actionable insights. Elastic’s move underscores its commitment to optimizing LLM-based application performance through cutting-edge AI observability tools.

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