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 http://www.kinetica.com/events/gpu-computing-revolutionizing-real-time-analytics/
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.
The Kinetica Active Analytics Platform combines streaming and historical data with location intelligence and machine learning-powered analytics. Organizations across automotive, energy, telecommunications, retail, healthcare, financial services, and beyond leverage the platform’s GPU-accelerated computing power to build custom analytical applications that deliver immediate, dynamic insight. Kinetica has a rich 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. For more information and trial downloads, visit kinetica.com or follow us on LinkedIn and Twitter.