GigaSpaces, provider of in-memory computing (IMC) platforms, announced this week new capability to simplify artificial intelligence (AI) through an integration between GigaSpaces’ InsightEdge platform and the Intel BigDL open source deep learning library for Apache Spark. The combined solution forms an enhanced insight platform based on Apache Spark; offering a distributed deep learning framework that empowers insight-driven organizations.
BigDL eliminates the need for a dense specialized hardware for deep learning, meaning low cost compute infrastructure using Intel Xeon Scalable processors that can train and run large-scale deep learning workloads without relying on GPUs.
Deep learning scenarios are complex and require advanced and complex training workflows. InsightEdge’s simplified analytics stack, leveraging BigDL and Apache Spark (open source and widely adopted) eliminates cluster and component sprawl complexity; radically minimizing the amount of moving parts, while capitalizing on existing Spark competency.
The integration allows organizations to innovate on text mining, image recognition, and advanced predictive analytics workflows from a handful of machines to thousands of nodes in the cloud or on-premises, using the same application assets and deployment lifecycle.
Adoption of AI innovations like deep learning is growing rapidly across industries such as financial services, healthcare, transportation, and retail; where GigaSpaces has a strong track record in delivering high performance solutions. In addition, the company has expanded its analytics portfolio over the past year to incorporate full-stack analytics (SQL, streaming, machine learning) through Apache Spark.
The BigDL and AI portfolio provide an infrastructure-optimized solution for deep learning workloads leveraging Intel Xeon Scalable processors. Together the technologies fill a critical market gap by creating an intelligent insight platform that makes it easy to innovate on real-time advanced analytics applications with low risk and TCO.
“Harnessing the business value of artificial intelligence is often challenged by the lack of mature compute infrastructure and technology complexity, leading to inefficiency and slower time-to-analytics,” said Ali Hodroj, Vice President of Products and Strategy at GigaSpaces. “Our integration with BigDL helps enterprises deploy, manage, and optimize a simplified and comprehensive AI technology stack for automated intelligence without the need for expensive, specialized hardware or complex big data solutions.”
This week, GigaSpaces also announced next-generation of its in-memory computing platform, unifying the company’s in-memory data grid, XAP, with its open-source data science and analytics product, InsightEdge.
Built on its mature cloud native in-memory data grid, and combining best in class analytics frameworks, InsightEdge serves as a real-time digital insight platform, eliminating the traditional separation between analytics and applications.
The platform overcomes the complex obstacles to operationalizing big data analytics at scale, and empowers organizations to generate greater business value through instant insights and faster actions.
