How GPU Computing Is Revolutionizing Analytics for Logistics and Retail

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 fast high-speed data ingest and real-time data analytics. NVIDIA offers a range of GPU computing technologies to accelerate Kinetica’s workloads, including the flagship DGX-1 product.

Listen to Kinetica’s Mark Brooks, Principal Systems Engineer, and NVIDIA’s John Barco, Senior Director of Partner Solutions, to learn more about 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
• You can track huge volumes of moving assets and inventory in real time, enabling faster and more relevant intelligence that can be quickly shared across your supply chain and operations