Workflow
Pure1 AI Copilot
icon
Search documents
Seagate's 32TB HDDs Launch Expands Its Reach in AI Video Analytics
ZACKS· 2026-01-13 15:15
Core Insights - Seagate Technology Holdings plc (STX) is launching new edge-to-cloud storage solutions featuring 32TB hard disk drives (HDD) across its Exos, SkyHawk AI, and IronWolf Pro product lines, aimed at supporting AI-driven video analytics and data-intensive applications [1][10] Group 1: Product Launch and Market Demand - The introduction of 32TB HDDs is a response to the rapid data creation driven by AI-powered video image analytics, with over 75% of organizations expecting their video data volumes to double in the next five years [2] - Seagate's new drives are designed to help enterprise customers scale AI workloads across hybrid and multi-cloud infrastructures, leveraging the company's CMR technology [3][10] - The demand for scalable and cost-efficient storage solutions is increasing as AI-generated annotations and metadata for video data become more prevalent [2] Group 2: Competitive Landscape - Seagate faces significant competition from traditional HDD manufacturers like Western Digital Corporation (WDC) and flash-based alternatives, which are also expanding their product offerings [4][5] - Western Digital has reported strong demand for its ePMR and UltraSMR products, with shipments exceeding 2.2 million units in the September quarter, indicating a competitive market for high-capacity drives [5] - Pure Storage is a notable player in the flash storage segment, focusing on innovations for modern data workloads, particularly in AI and high-performance computing [7][8] Group 3: Financial Performance and Estimates - Seagate's shares have increased by 12.5% over the past month, outperforming the Computer Integrated Systems industry, which grew by 11.2% [11] - The forward price/earnings ratio for Seagate is currently at 24.33X, higher than the industry average of 17.73X [13] - The Zacks Consensus Estimate for Seagate's earnings for fiscal 2026 has been revised up by 2.2% to $11.26 over the past 60 days, indicating positive sentiment among analysts [14]
PSTG Q3 Earnings Lag Despite Solid Revenues, Stock Up on Upbeat View
ZACKS· 2025-12-03 14:06
Core Insights - Pure Storage (PSTG) reported third-quarter fiscal 2026 non-GAAP earnings per share (EPS) of 58 cents, missing the Zacks Consensus Estimate of 59 cents, but up from 50 cents in the prior-year quarter [1] - The company generated $964.5 million in revenues, a 16% year-over-year increase, surpassing management's expectations and the consensus mark [2] - Pure Storage raised its fiscal 2026 revenue outlook to $3.63–$3.64 billion, indicating 14.5–14.9% year-over-year growth [4] Financial Performance - Product revenues amounted to $534 million, up 18% year-over-year, contributing 55.4% to total revenues [7] - Subscription services revenues rose 14% to $430 million, accounting for 44.6% of total revenues [7] - Subscription annual recurring revenues (ARR) reached nearly $1.8 billion, up 17% year-over-year [8] Operational Highlights - The company exceeded its full-year goal of 2 exabytes of hyperscale shipments in the fiscal third quarter and anticipates further shipments in the fiscal fourth quarter [3] - Non-GAAP gross margin improved to 74.1% from 71.9% in the prior-year quarter, with product gross margin at 72.9% [12] - Non-GAAP operating income was $196.2 million, exceeding the outlook and up from $167.3 million in the year-ago quarter [13] Cash Flow and Shareholder Returns - Pure Storage ended the fiscal third quarter with cash and cash equivalents of $1.5 billion, unchanged from the previous quarter [14] - Cash flow from operations was $116 million, compared to $97 million in the prior-year quarter, with free cash flow at $52.6 million [14] - The company returned $53 million to shareholders through share repurchases during the quarter [15] Future Guidance - For fiscal Q4, Pure Storage expects revenues in the range of $1.02-$1.04 billion, indicating a 17.1% increase at the midpoint from the year-ago level [16] - Non-GAAP operating income is projected to be $220-$230 million, reflecting around 47% year-over-year growth at the midpoint [16]
Pure Storage's Enterprise Data Cloud Unifies Data to Give Businesses Greater Control of their AI Initiatives
Prnewswire· 2025-09-25 10:00
Core Insights - Pure Storage has announced enhancements to its platform aimed at improving data accessibility and management, particularly in the context of AI and cloud environments [1][2][3] Group 1: Platform Enhancements - The Pure Storage Platform now supports expanded workload coverage into the cloud, facilitating streamlined workflows across on-premises and cloud environments [1][3] - The Enterprise Data Cloud architecture provides a unified operating model that enhances data control, automation, and cyber resilience [2][8] Group 2: AI and Data Management - Access to data is emphasized as critical for AI readiness, with a focus on managing data securely and consistently across various environments [3][4] - The introduction of Pure Storage Cloud aims to unify data landscapes for hybrid cloud storage, making data accessible for AI tools [5][8] Group 3: New Integrations and Features - New integrations include Pure Storage Cloud Azure Native, which simplifies the migration of VMware workloads to Azure, enhancing operational efficiency [5][10] - The Portworx integration with Pure Fusion allows for unified data and storage management across traditional and modern applications [5][10] Group 4: AI Copilot and Automation - The Pure1 AI Copilot has been expanded to enhance user interaction with storage systems, allowing for easier management through natural language queries [5][6] - AI Copilot's integration with Model Context Protocol servers enables IT teams to manage systems without deep technical expertise, enhancing operational efficiency [6][7] Group 5: Performance and Sustainability - The Key Value Accelerator is designed to improve AI inference workloads, reducing computational overhead and carbon footprints [10] - The next-generation data reduction engine, Purity Deep Reduce, aims to enhance efficiency while maintaining performance [10]