According to a new press release, “ZeroStack, creators of a self-driving cloud that lets users focus on their businesses, today announced that its Self-Driving Cloud Platform can now detect and provide selective end-user access of NVIDIA GPUs to deliver GPU-as-a-Service. This makes the ZeroStack platform the first solution to offer cloud-based, fine-grained access to GPU […]
Kinetica Maps Future of Automotive Industry Powered by Extreme Data
According to a new press release, “Kinetica, the insight engine for the Extreme Data Economy, is taking steps to bring advanced analytics, artificial intelligence and its GPU engine to the global automotive industry. The company announced today that it is becoming a silver member of The Linux Foundation and a bronze member of Automotive Grade […]
Intelligent Video Analytics for Today’s Enterprise
Click to learn more about author Dipti Borkar. The proliferation of connected devices, wearables, mobility and robotics as well as the advancements in Artificial Intelligence and compute hardware has transformed not only how individuals carry on their daily lives, but also how businesses operate. The data from these new technologies comes in all shapes, forms […]
Brytlyt Launches Spotlyt 2.0, an Interactive Analytics and Collaboration Workbench
According to a recent press release, “Brytlyt, developer of the fastest and most advanced GPU database technology in the world according to independent benchmarking, announced today the release of Spotlyt 2.0, a GPU-accelerated visualization and collaboration workbench that can be used as a stand-alone solution or as an add-on to a company’s current visualization technology. […]
Benchmarking the Full AI Hardware/Software Stack
Click to learn more about author James Kobielus. Artificial Intelligence (AI) is a resource hog. AI-powered programs will grind to a halt unless developers continue to seek out the fastest, most scalable, most power-efficient and lowest-cost hardware, software and Cloud platforms to run their workloads. As the AI arena shifts toward workload-optimized architectures, there’s a growing need […]
AMAX Launches AI and DL Optimized Server Platform
In a recent press release, AMAX, “a leading manufacturer of high-performance servers for AI and Deep Learning development, announced the launch of the DL-E48A, a reconfigurable single/dual root high-density GPU platform designed for AI training and inference. AMAX will be showcasing the highly anticipated solution at CVPR 2018 (Booth #304), to be held at Salt […]
Adobe and NVIDIA Partner to Deliver New AI Services for Creativity and Digital Experiences
by Angela Guess A recent press release reports, “Adobe and NVIDIA today announced a strategic partnership to rapidly enhance their industry-leading artificial intelligence (AI) and deep learning technologies. Building on years of collaboration, the companies will work to optimize the Adobe Sensei AI and machine learning (ML) framework for NVIDIA® GPUs. The collaboration will speed […]
The Future of Big Data: Next-Generation Database Management Systems
In 2009, the U.S. Army Intelligence and Security Command wanted the ability to track, in real-time, national security threats. Potential solutions had to provide instant results, and use graphics to provide insight into their extremely large streaming datasets. At the time, there was nothing available to meet their needs. Both NoSQL solutions and classical relational […]
Low-Cost AI Chipsets Will Take the Mobility Market by Storm in 2018
Click to learn more about author James Kobielus. Artificial Intelligence (AI) is rapidly being incorporated into diverse applications in the Cloud and at the network’s edge. The pace at which the technology is being adopted depends on the extent to which it is incorporated into commodity chipsets. To be ready for widespread adoption, AI’s algorithmic smarts need […]
Moving from AI Science Experiment to Operationalized Pipeline
Click to learn more about author Dipti Borkar. Organizations have spent the past few years educating themselves on various Artificial Intelligence frameworks and tools. But for AI to become mainstream, it will need move beyond small-scale and often ad hoc experiments being run by Data Scientists, to becoming an automated pipeline with the inference and […]