From Panzura, Vizion.Ai Open Analytics and ML Service Deliver Speed and Economics on Intel Optane Technology

Vizion.ai from Panzura, Inc. is delivering benefits to enterprise customers by optimizing the Vizion.ai solution for Intel Corp. architecture.

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Vizion.ai, built on 2nd Gen Xeon Scalable processors and accelerated by Optane technology, is a SaaS service that changes how customers search, analyze, and store massive volumes of data while lowering costs. By applying its AI and ML capabilities to machine-generated analytics data, customers get game-changing insights such as their alerts for unusual activity and pointers to problems that put organizations at risk.

Through this strategic partnership, customers and Intel partners can be assured that Vizion.ai is enabled and optimized on Intel’s core and adjacent products and platforms and represents a commitment for long-term support. Panzura is also working with Intel and data service providers like phoenixNAP LLC to accelerate sales by creating new opportunities for channel partners to differentiate and grow their businesses.

“Our vision with Vizion.ai is to bring the best open-source analytics and ML to the masses,” said Geoff Tudor, VP and GM, Vizion.ai. “Companies want to better manage their infrastructure, view their customer’s journey across applications, and detect possible security breaches, all of which Vizion.ai delivers. We are honored to work jointly with Intel on delivering to our customer’s needs and look forward to sharing the benefits of our high-performance Log Analytics solution.“

Jeremy Rader, GM, digital transformation and scale solutions, Intel said: “As we continue to push past barriers to innovate and help customers solve their most difficult data challenges, we look to revolutionary companies like Vision.ai who offer next-gen technology platforms, based on an Intel platform foundation. We anticipate sharing the benefits of their expertise in open source analytics and ML service for enterprise data with our joint customers and partners.“

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Vizion.ai keeps all data, including growing machine-generated data, ultra-warm, searchable, easily accessible, and available at a lower cost vs. other analytics services. Customers never have to tier off data for ML training, ensuring reliable and accurate results. They can also store analytics data indefinitely using cost reduction storage technology. Built on an Intel backbone of 2nd gen Xeon Scalable processors and accelerated by Optane persistent memory, Vizion.ai provides scale for higher-performance Log Analytics workloads while minimizing the cost economics.

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Channel enablement
An early adopter and channel partner benefiting from Vizion.ai’s performance and economic model is phoenixNAP.

When this later was looking to bring Elasticsearch Service into its product portfolio, it turned to Vizion.ai to help their customers manage vast volumes of metadata to be searched and stored in object storage.

“Organizations across the board are battling to manage the burgeoning amount of machine-generated data or metadata:” said William Bell, EVP, product, phoenixNAP. “Elasticsearch presents challenges in managing server clusters and usually requires data to be stored in flash storage, which becomes increasingly costly as data volumes increase. We used Vizion.ai to store the data in highly scalable object storage and Intel Optane DC persistent memory for caching. Delivering Elasticsearch as a Service powered by Vizion.ai, we have new opportunities to differentiate our data center services and help our partners grow.“

“We observed a reduction in latency by 80% and accelerated indexing by 3x compared to a popular hyperscale cloud environment. Our customers can now analyze the data they keep in our data centers without needing to validate the data sovereignty of a new provider. Also, Vizion.ai measures the performance of infrastructure using persistent memory and compares it to the speed of software running in a public cloud service,” he adds.

phoenixNAP customers leverage the Vizion.ai Analytics Service for Elasticsearch with Optane persistent memory for use cases such as log management and analytics, system health monitoring, application performance monitoring, real-time incident response, security information and event management (SIEM), IoT and more.

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