Core Insights - The company reported lower-than-expected revenue in the fiscal fourth quarter due to delays faced by customers in the development of their AI products [1] Summary by Category - **Financial Performance** - The company experienced a revenue shortfall in the fiscal fourth quarter, which was attributed to customer delays in AI product development [1]

Company Overview - Proactive is a financial news publisher that provides fast, accessible, informative, and actionable business and finance news content to a global investment audience [2] - The company operates with a team of experienced and qualified news journalists across key finance and investing hubs including London, New York, Toronto, Vancouver, Sydney, and Perth [2] Market Focus - Proactive specializes in medium and small-cap markets while also covering blue-chip companies, commodities, and broader investment stories [3] - The content delivered by the team includes insights across various sectors such as biotech and pharma, mining and natural resources, battery metals, oil and gas, crypto, and emerging digital and EV technologies [3] Technology Utilization - Proactive is committed to adopting technology to enhance its workflows and content production [4] - The company utilizes automation and software tools, including generative AI, while ensuring that all published content is edited and authored by humans [5]

Hewlett Packard Enterprise forecast first-quarter revenue below Wall Street estimates on Thursday, signaling cautious enterprise spending. ...

Dec 4 (Reuters) - Hewlett Packard Enterprise forecast first-quarter revenue below Wall Street estimates on Thursday, as it sees ​a fall in AI server income due to ‌customers shifting their orders to the second half of the year. Shares of HPE, ‌which provides AI-optimized servers that run on high-end Nvidia processors, fell over 9% in extended trading. "In cloud and AI, we continue to see the impact of lumpiness and AI server revenue ⁠and expect a ‌sequential decline in the AI server revenue with the majo ...

Hewlett Packard Enterprise Company (NYSE:HPE) recently unveiled a major expansion of its AI-native networking and cloud portfolio, and will release Q4 earnings results on Thursday, Dec. 4.Analysts expect the company to report quarterly earnings at 58 cents per share — the same as last year’s Q4. The consensus estimate for Hewlett Packard Enterprise's quarterly revenue is $9.91 billion ($8.46 billion last year), according to Benzinga Pro.In the meantime, investors may be eyeing potential dividend gains from ...

Group 1 - Hewlett-Packard Enterprise Company (HPE) is focusing on AI stocks, with an Outperform rating and a price target of $28.00 from Evercore ISI analyst Amit Daryanani [1] - HPE is selling its remaining ~9% stake in H3C for approximately $643 million, which will be divided among three buyers, including Unisplendour [2][3] - The total proceeds from the divestiture will amount to around $1.3 billion, enhancing HPE's balance sheet and aligning with its financial goals [2][3] Group 2 - The sale is part of HPE's strategy to deleverage the business following the Juniper acquisition and allows for a stronger focus on integrating the two companies [4] - The cash received from the transaction reflects the same valuation as the previous 10% sale, indicating consistency in HPE's financial strategy [4]

Core Insights - Traefik Labs has joined the HPE Unleash AI Partner Program, integrating its Triple Gate security architecture with HPE Private Cloud AI to provide a sovereign AI infrastructure with zero external dependencies [1][3][4] Group 1: Partnership and Technology Integration - The collaboration with HPE and NVIDIA aims to deliver a sovereign AI runtime platform, combining Traefik's AI Gateway, MCP Gateway, and API Gateway for offline prompt filtering and agent governance [2][4] - The HPE Unleash AI Partner Program is designed to create a strategic ecosystem of software providers to deliver production-ready AI solutions [3][6] Group 2: Security Architecture - Traefik's Triple Gate security architecture includes: - Gate 1: AI Gateway for deploying NVIDIA Nemotron Safety models to filter malicious prompts [4] - Gate 2: MCP Gateway for enforcing Task-Based Access Control for AI agents accessing enterprise systems [4] - Gate 3: API Gateway for protecting backend services with centralized credential management and rate limiting [4] Group 3: Key Benefits - The solution allows organizations to deploy complete AI workloads on customer-controlled HPE infrastructure, ensuring compliance with security and governance objectives [6][7] - The platform supports air-gapped environments, enabling true sovereignty without external service dependencies [7] - Governance policies can be defined once and deployed uniformly across various environments, enhancing operational efficiency [7] Group 4: Company Background - Traefik Labs has over 3.4 billion downloads and is trusted by Fortune 500 companies, providing enterprise-grade security for cloud-native applications and AI workloads [8]

Core Insights - HPE expands its GreenLake cloud portfolio to assist enterprises in modernizing IT and addressing increasing AI demands, with over 80% of enterprises re-evaluating their workload deployment strategies due to rising costs and hybrid cloud growth [1][2]. Hybrid Cloud Innovations - HPE introduces new capabilities in HPE Morpheus Software, providing an agile and secure enterprise-grade virtualization alternative, significantly reducing VM license costs by up to 90% [3]. - The updated GreenLake cloud platform accelerates the adoption of hybrid cloud operating models, enhancing operational efficiency and performance [3][8]. Security Enhancements - HPE implements zero-trust security with software-defined networking, enhancing agility and multi-layered security for virtual machines [4]. - New data protection solutions, including HPE StoreOnce appliances, are designed for high-performance data protection, capable of ingesting up to 300 TB/hour [12]. AI and Data Management - HPE collaborates with NVIDIA to enhance AI capabilities, introducing HPE Alletra Storage MP X10000 Data Intelligence Nodes for real-time data enrichment in AI pipelines [7]. - The integration of HPE Zerto Software with HPE Morpheus provides continuous data protection for VMs, ensuring operational continuity [11]. Financial Services and Cost Efficiency - HPE Financial Services extends financing programs for HPE CloudOps Software and HPE Alletra Storage, allowing customers to spread costs over three years with potential savings of up to 10% [9].

Core Insights - HPE and Veeam have launched integrated solutions aimed at enhancing data resilience for modern enterprises [1] Company Developments - The collaboration between HPE and Veeam focuses on providing simplified data protection solutions [1] - These solutions are designed to empower enterprises in managing their data more effectively [1] Industry Trends - The emphasis on data resilience reflects a growing need for businesses to safeguard their information in an increasingly digital landscape [1]

Core Insights - AMD has announced an expanded collaboration with HPE to accelerate the development of open, scalable AI infrastructure using AMD's advanced computing technologies [2][4] - The new AMD "Helios" rack-scale AI architecture will be adopted by HPE, integrating specialized networking solutions for enhanced performance [7][9] - The "Helios" platform is designed to deliver up to 2.9 exaFLOPS of FP4 performance per rack, utilizing AMD's latest hardware and software technologies [5][6] Collaboration Details - HPE will leverage AMD's "Helios" architecture to provide cloud service providers with faster deployment and greater flexibility in scaling AI computing [4][9] - The partnership aims to redefine high-performance computing capabilities, focusing on open standards to foster innovation [4][8] Technical Specifications - The "Helios" platform combines AMD EPYC CPUs, AMD Instinct GPUs, and advanced networking technologies to create a cohesive system optimized for AI workloads [3][5] - The system is built on the OCP Open Rack Wide design, facilitating streamlined deployment for demanding AI applications [6][7] Future Developments - HPE plans to offer the AMD "Helios" AI Rack-Scale Architecture globally in 2026, enhancing AI capabilities for various industries [7][9] - A new supercomputer named "Herder," powered by AMD technologies, will be deployed at the High-Performance Computing Center Stuttgart in Germany, expected to enhance HPC and AI research [8][10]