GTC 2018: Kinetica combines with NVIDIA GPU cloud to deliver insight through streamlined machine learning

Kinetica’s latest version of the instant insight engine for the Extreme Data Economy is now available on the NVIDIA GPU Cloud (NGC) for enterprises that want a “push button” method to quickly operationalize extreme analytics, machine learning and data visualization. Kinetica provides accelerated parallel compute, transforming data into business-critical insight.

In this era of extreme data management, companies need to address massive sets of complex data at unparalleled speed, with streaming data analysis, visual foresight and streamlined machine learning, all orchestrated around an innovation-focused ecosystem. Without these, it becomes impossible to maintain business in motion.

The Kinetica instant insight engine on NVIDIA GPU Cloud eliminates complexity and operationalizes machine learning, and businesses can now choose between cloud, on-premises or hybrid deployment models for flexible business operations.

Kinetica has a expanded partner ecosystem, including NVIDIA, Dell, HP, and IBM, and is privately held, backed by leading global venture capital firms Canvas Ventures, Citi Ventures, GreatPoint Ventures, and Meritech Capital Partners. Across healthcare, energy, telecommunications, retail, and financial services, enterprises utilizing new technologies like connected devices, wearables, mobility, robotics, and more can leverage Kinetica for machine learning, deep learning, and advanced location-based analytics that are powering new services.

Kinetica’s accelerated parallel computing brings thousands of GPU cores to address the unpredictability and complexity that result from extreme data.

“We live in the post-big data era, where businesses are expected to move with unprecedented agility. To do so, they need to ingest data from unpredictable sources, perform complex, real-time analysis and act on the insight instantly, before highly perishable data expires,” said Paul Appleby, CEO at Kinetica. “Given the recent customer uptake in AI/ML workloads, Kinetica provides our customers with a push-button method to deploy Kinetica via the NVIDIA GPU Cloud and run complex AI workloads on their choice of NVIDIA DGX Systems. Now AI researchers can do what they do best — harness the power of machine learning to deliver immediate insight to the data-powered business.”

Data shapes business strategies and with accelerated parallel compute and GPUs, businesses can derive more value from their data than ever,” said Jim McHugh, vice president and general manager of deep learning systems, NVIDIA. “Kinetica’s instant insight engine, working in concert with the NVIDIA GPU Cloud and NVIDIA DGX Systems, will be a catalyst for analytics and AI breakthroughs across every industry, from retail and banking to hospitality and healthcare.”

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