Kinetica Webinar Will Examine NVIDIA GPU Acceleration for Real-Time Analysis of Streaming and IoT Use Cases

SAN FRANCISCO, Nov. 09, 2016 -- Kinetica, provider of the fastest, in-memory database accelerated by GPUs, today announced it will host a live webinar with NVIDIA®, the pioneer of GPU-accelerated computing, about using GPUs to efficiently and quickly ingest, explore and visualize streaming datasets in new commercial and consumer use cases. 

The webinar is entitled, “How GPU Computing is Revolutionizing Real-Time Analytics,” and will be held on Thursday, November 17th at 10:00 am PST / 1:00 pm EST.  Featured speakers will include Kinetica’s Mark Brooks, principal systems engineer, and NVIDIA’s John Barco, ‎senior director of DGX-1 partner solutions.

To register, please visit here.

Join this webinar to hear Mark and John discuss how:

• GPUs have evolved from being primarily a consumer-gaming focused component to having new commercial and consumer applications in real-time data analytics 
• Retailers and manufacturers gain real-time visibility across the supply chain for advanced Transportation Analytics, Real-time Route Planning and Optimization, and Inventory Optimization
• Businesses can track huge volumes of moving assets and inventory in real time, enabling faster and more relevant intelligence that can be quickly shared across their supply chain and operations

Kinetica and NVIDIA have partnered together to provide enterprises the fastest and most scalable GPU-accelerated, in-memory database solution that’s used to solve real-world business and analytics problems for all types of data in motion. The unique multi-core architecture of GPUs makes it possible to process many computations efficiently and quickly, making it ideal for today’s streaming datasets and IoT use cases as well as for optimizing logistics and allocating resources on the fly. NVIDIA offers a range of GPU computing technologies to accelerate Kinetica’s workloads, including the flagship DGX-1 product line.

Tweet this: Kinetica hosts  webinar on #GPU acceleration with @NVIDIA for real-time analysis of streaming #data. #bigdata @NVIDIAAI  http://bit.ly/2fBJ7JX

About Kinetica
Kinetica addresses today’s data paradigm by bringing Graphics Processing Units (GPUs) to the datacenter. Built from the ground up to scale linearly, Kinetica’s distributed, in-memory database accelerated by GPUs delivers truly real-time actionable intelligence on large, complex and streaming data sets: 100x faster performance at 1/10 of the hardware of traditional databases. Kinetica makes real time a reality. Organizations use Kinetica to simultaneously ingest, explore, analyze and visualize streaming data within milliseconds to make critical decisions and find efficiencies, lower cost, generate new revenue, and improve customer experience. Learn more at kinetica.com.

Media Contact:
Michele Nemschoff
Kinetica
(415) 604-3444 ext. 3012
[email protected]