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GridGain Advances Its Unified Real-Time Data Platform to Help Enterprises Accelerate AI-Driven Data Processing

GridGain Advances Its Unified Real-Time Data Platform to Help Enterprises Accelerate AI-Driven Data Processing

GridGain推進其統一實時數據平台,幫助企業加速人工智能驅動的數據處理
PR Newswire ·  07/09 20:37

Proven Architecture Reinforced for Resiliency, Scalability, and Performance; Ensures Unprecedented Speed and Scale for AI Workloads

以經過驗證的架構爲基礎,增強了彈性、可擴展性和性能;確保爲AI工作負載提供前所未有的速度和規模。

FOSTER CITY, Calif., July 9, 2024 /PRNewswire/ -- GridGain today announced version 9 of the GridGain Unified Real-Time Data Platform. Building on the proven multi-dimensional data processing and analytics capabilities of version 8, GridGain 9 delivers the most stable, resilient, and high-performant solution for ultra-low latency data applications, powering the extreme speed, scale, durability and reliability critical to modern enterprise use cases and AI.

2024年7月9日,加州福斯特市/美通社——GridGain今天宣佈推出GridGain統一實時數據平台的第9個版本。基於第8版的經過驗證的多維度數據處理和分析能力,GridGain 9提供了最穩定、最具彈性和最高效的解決方案,用於超低延遲數據應用程序,支持現代企業用例和人工智能所必需的極高速度、規模、耐久性和可靠性。

According to Gartner, "Data & Analytics teams continue to be challenged to design, deploy and manage an ecosystem of technology choices that is supported by a resilient and scalable technical architecture."1

根據加特納的說法,"數據與分析團隊繼續面臨設計、部署和管理由一個有彈性和可擴展的技術架構支持的技術選擇生態系統的挑戰。"1

This is more true today than ever before. The explosion in real-time, data-intensive use cases – including the use of GenAI – for improved customer experiences, greater operational efficiency, and accurate decision-making, has put a focus on immediate and reliable data availability and accessibility across the enterprise.

現在比以往任何時候都更加真實。實時數據密集使用案例的激增——包括使用GenAI - 以改進客戶體驗、提高運營效率和做出準確決策——已經把對即時可靠數據可用性和可訪問性的關注點放在了企業範圍內。

With enhanced support for multiple data formats, models, and stores, including cloud data lakehouses, GridGain makes enterprise-wide data available for processing in real time, a key prerequisite for any AI-based initiative. GridGain 9 delivers the architectural resiliency and scalability necessary to power the data infrastructure foundation for large-scale, real-time data processing, AI and analytics applications.

通過增強對多種數據格式、模型和存儲的支持,包括雲數據湖屋,GridGain使得全企業範圍內的數據實時可用,這是任何基於人工智能的倡議的關鍵前提。GridGain 9提供了必要的架構彈性和可擴展性,以支持大規模、實時的數據處理、人工智能和分析應用的數據基礎設施。

"AI has shown the promise to deliver dramatic social and technological benefits. But it will never reach its full potential if businesses are unable to achieve the real-time insights, automations, and customer experiences they need," said GridGain CEO, Eoin O' Connor. "We have consistently evolved the GridGain platform to stay ahead of our customers' data requirements, and we have again invested in reinforcing our solution to make it even more resilient and high-performant. The result is GridGain 9, a more powerful platform that will make it faster and easier to deliver new features, enhancements, and scalability to support modern application and AI use cases."

GridGain首席執行官Eoin O'Connor表示:"人工智能已經展現出爲社會和技術帶來巨大利益的前景。但是,如果企業無法獲得所需的實時洞察、自動化和客戶體驗,那麼它將永遠無法發揮最大潛力。我們一直在不斷髮展GridGain平台,以保持其領先於客戶數據需求,並且我們再次投資於增強我們的解決方案,使其更具彈性和高性能。結果是GridGain 9,這是一個更強大的平台,將更快、更容易地提供新功能、增強和可擴展性,以支持現代應用程序和人工智能用例。"

Key Enhancements in GridGain 9

GridGain 9的主要增強功能

  • Dynamic, on-demand scaling: GridGain 9 introduces new platform features, allowing users to scale its flexible in-memory and on-disk storage and processing capacity easily. GridGain's industry-leading capabilities around dynamic scaling eliminate any impact on the overall system performance, even when users wish to extend their GridGain clusters to the cloud.
  • Enhanced performance: GridGain 9 boosts efficiency by enhancing parallel, concurrent data processing and utilizing memory-centric storage engines tailored to the specific needs of various workloads, including analytics and AI.
  • Stronger data integrity and consistency: With a more robust transaction management and consistency model for data – even in full SQL mode – GridGain 9 gives enterprises classic RDBMS capabilities with in-memory performance, making it easier to accelerate legacy applications and workloads.
  • Improved developer experience: Intuitive and simpler APIs, improved cluster configuration, and DevOps capabilities make it even easier for developers and DevOps engineers to build and manage highly scalable data-intensive applications using GridGain.
  • 動態、按需擴展:GridGain 9引入了新的平台功能,允許用戶輕鬆擴展其靈活的內存和磁盤存儲和處理容量。GridGain在動態擴展方面的領先能力消除了對整個系統性能的任何影響,即使用戶希望將其GridGain集群擴展到雲端。
  • 性能增強:GridGain 9通過增強並行、併發數據處理和利用專門針對各種工作量需要的存儲引擎,包括分析和人工智能,提高了效率。
  • 更強的數據完整性和一致性:藉助更強大的事務管理和數據一致性模型——甚至在完全SQL模式下——GridGain 9爲企業提供了傳統關係型數據庫管理系統的能力,同時提供內存性能,從而更容易地加速遺留應用程序和工作量。
  • 開發者體驗的改進:直觀和更簡單的API、改進的集群配置和DevOps功能,使開發者和DevOps工程師更容易地構建和管理使用GridGain的高度可擴展的數據密集型應用程序。

Availability

了解有關VAST與思科和NVIDIA的進一步合作,請單擊此處:

GridGain Platform v9.0 is available now. To download, visit the GridGain website.

GridGain平台v9.0現已推出。要進行下載,請訪問GridGain網站。

Additional Resources

額外資源

  • GridGain 9 product page
  • GridGain blog: What's New in GridGain 9
  • GridGain blog: Making Well-Informed AI-Driven Decisions in Real Time
  • GridGain 9產品頁面
  • GridGain博客:GridGain 9的新功能
  • GridGain博客:實時進行基於良好信息的人工智能決策

Connect with GridGain

與GridGain聯繫

  • LinkedIn
  • Twitter
  • YouTube
  • LinkedIn
  • 推特
  • YouTube

1 Gartner, Market Guide for AI and Data and Analytics Service Providers, Frances Karamouzis, Shubhangi Vashisth, Afraz Jaffri, 24 May 2023.

1Frances Karamouzis,Shubhangi Vashisth,Afraz Jaffri,《AI和數據和分析服務提供商市場指南》,加特納,2023年5月24日。

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.

關於趨勢科技

About GridGain Systems

關於GridGain Systems

GridGain is a unified real-time data platform. It enables a simplified and optimized data architecture for enterprises that require extreme speed, massive scale, and high availability from their data ecosystem. GridGain's distributed memory-first architecture and colocated compute deliver data processing and analytics at millisecond latencies, with configurable disk-based persistence for added durability. Horizontally scalable clusters can be deployed both on- premises and natively in public or private clouds, empowering companies to handle even the most demanding workloads in multi, hybrid, and inter-cloud environments. GridGain is trusted by companies like Citi, Barclays, American Airlines, AutoZone, and UPS to accelerate their existing applications, speed operational analytics and fraud detection, train machine learning models for AI, and provide fast-access data hubs. To learn more, please visit .

GridGain是一個統一的實時數據平台。它爲企業提供了一個簡化和優化的數據架構,這些企業需要他們的數據生態系統擁有極高速度、巨大規模和高可用性。GridGain的分佈式內存優先架構和協同計算在毫秒級別的延遲下提供了數據處理和分析,可配置的基於磁盤的持久性增加了耐久性。橫向可擴展的集群可以在本地以及原生地部署在公共或私有云中,使公司能夠在多雲、混合雲和互雲環境中處理甚至最具挑戰性的工作負載。GridGain得到像花旗、巴克萊、美國航空、汽車地帶和UPS的公司的信任,以加速其現有應用程序、加速運營分析和欺詐檢測、爲人工智能培訓機器學習模型,並提供快速訪問數據中心。請訪問了解更多信息。

CONTACT:
Brigit Valencia
For GridGain Systems
[email protected]
360.597.4516

聯繫方式:
Brigit Valencia
對於GridGain系統
[email protected]
360.597.4516

GridGain is a trademark or registered trademark of GridGain Systems, Inc. All other product and company names herein may be trademarks of their registered owners.

GridGain是GridGain Systems, Inc.的商標或註冊商標,此處所有其它產品和公司名稱可能是其註冊所有者的商標。

SOURCE GridGain

來源GridGain

譯文內容由第三人軟體翻譯。


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