NVIDIA GPUs enable Kinetica to perform brute-force queries on large datasets by leveraging the parallel processing nature of GPUs with their thousands of cores per device, versus 16 to 32 cores on a typical CPU. The outcome is remarkable performance increases, and tangible savings on hardware. On internal benchmarks, NVIDIA GPUs help Kinetica to deliver 100x faster analytic performance than other CPU-based in-memory databases.
GPU-accelerated computing as the path forward to a “post-Moore’s Law” era.
GPU-accelerated computing is the use of a GPU together with a CPU to enable faster enterprise applications. GPU accelerators now power energy-efficient data centers in retail, financial services, government, telco, energy, and healthcare around the world. Today, accelerated computing is broadly recognized as the path forward in the “post-Moore’s Law” era.
Kinetica has been designed from the ground-up to fully take advantage of GPUs in data processing.
NVIDIA GPU processors can be used on industry-standard servers including those from IBM, Dell, HP, and Cisco.
NVIDIA Tesla K80
The NVIDIA® Tesla® K80 Accelerator dramatically lowers data center costs by delivering exceptional performance with fewer, more powerful servers. It’s engineered to boost throughput in real-world applications by 5-10x, while also saving customers up to 50% for an accelerated data center compared to a CPU-only system.
NVIDIA Tesla P100
NVIDIA Tesla P100 GPU accelerators are the most advanced ever built for the data center. They tap into the new NVIDIA Pascal GPU architecture to deliver the world’s fastest compute node with higher performance than hundreds of slower commodity nodes. Higher performance with fewer, lightning-fast nodes enables data centers to dramatically increase throughput while also saving money. The Tesla P100 is reimagined from silicon to software, crafted with innovation at every level. Each groundbreaking technology delivers a dramatic jump in performance to inspire the creation of the world’s fastest compute node.