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One of the Kinetica engine’s unique and compelling differentiators is its ability to consume vast amounts of real-time data in parallel from multiple sources. Using our unique multihead ingest technology and the power of NVIDIA GPUs, Kinetica can consume real-time data feeds and analyze billions of rows of data at sub-second speeds – truly extreme…
At Kinetica we know our customers and partners want to deploy our engine in a variety of different configurations. To support them, we’re excited to share our recent contributions to Docker Hub where we’ve made Kinetica images available. We’re keeping these images updated and aligned with our latest releases to ensure our customers running Docker…
Video is a risingsource of data, and with consumers’ increasing preference for image and video content, it is time you became aware of the importance of intelligent video analytics (IVA). To get insights and make decisions based on video usage, you’ll need to become familiar with machine learning and deep learning models along with high…
Today we’re excited to announce our partnership with Dell EMC to tackle the challenges of the Extreme Data Economy. Now, you can purchase a bundle of Dell PowerEdge servers and the Kinetica’s engine directly from the team at Dell EMC OEM. This combines a GPU database, location-based visualization, machine learning and high density compute in…
Kinetica is an insight engine with a GPU-accelerated database that allows you to analyze data in real time as the database engine processes the data in GPU memory. TensorFlow is a library for machine learning and deep learning, that can leverage the power of GPUs as well. Bringing these two technologies together allows you to…
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