H2O.AI Brings Lightning-Fast Machine Learning to Enterprises with NVIDIA GPU Acceleration

[GPU Technology Conference Coverage] H2O.ai, today announced that it has collaborated with NVIDIA to offer its best-of-breed machine learning algorithms in a newly minted GPU edition. In addition, H2O’s platform will be optimized for NVIDIA® DGX-1™ systems.

BOXX Expands Product Line and Services by Acquiring Cirrascale

[GPU Technology Conference Coverage] BOXX Technologies, a leading innovator of high-performance computer workstations, rendering systems, and servers, announced the acquisition of Cirrascale Corporation, a premier developer of multi-GPU servers and cloud solutions designed for deep learning infrastructure. The acquisition enables BOXX to add Cirrascale’s deep learning hardware to its line of multi-GPU solutions and solidifies BOXX as the leader in multi-GPU computer technology. Cirrascale Cloud Services, a BOXX subsidiary, will continue to expand its growing business and provide GPU-as-a-Service along with other professional services.

Neurala Announces Deep Learning AI for Self-Driving Cars, Drones, Toys and Other Machines That Can Learn on the Device Without Using the Cloud

[GPU Technology Conference Coverage] Neurala announced a major advance in deep learning with software that can learn with or without the cloud and eliminates the risk of forgetting its previous knowledge. The new patent-pending approach means that for the first time a self-driving car can be personalized by each owner or dealer to a specific neighborhood; a parent can teach a toy to recognize a child, without infringing on privacy; and industrial machines can be updated in the field for specific tasks.

Kinetica and Fuzzy Logix Partner to Bring GPU-Accelerated Advanced Analytics to Market

[GPU Technology Conference Coverage] Fuzzy Logix, Inc., provider of high performance, advanced analytic solutions and Kinetica, provider of the fast, in-memory analytics database accelerated by GPUs, today announced a partnership to offer a joint solution that will allow customers of both companies to leverage high performing advanced analytics with acceleration of 100-500x over CPU-only solutions.

GPU Technology Conference 2017 in Silicon Valley, May 8-11

GTC is the largest and most important event of the year for GPU developers. GTC and the global GTC event series offer valuable training and a showcase of the most vital work in the computing industry today – including artificial intelligence and deep learning, healthcare, virtual reality, accelerated analytics, and self-driving cars. The event is hosted by GPU giant NVIDIA,

Baidu Advances AI in the Cloud with Latest NVIDIA Pascal GPUs

NVIDIA announced that its deep learning platform is now available as part of Baidu Cloud’s deep learning service, giving enterprise customers instant access to the world’s most adopted AI tools. The new Baidu Cloud offers the latest GPU computing technology, including Pascal™ architecture-based NVIDIA® Tesla® P40 GPUs and NVIDIA deep learning software. It provides both training and inference acceleration for open-source deep learning frameworks, such as TensorFlow and PaddlePaddle.

IBM First to Deliver Latest NVIDIA GPU Accelerator on the Cloud to Speed AI Workloads

IBM (NYSE: IBM) today announced that it is the first major cloud provider to make the NVIDIA Tesla® P100 GPU available globally on the cloud. By combining NVIDIA’s acceleration technology with IBM’s Cloud platform, businesses can more quickly and efficiently run compute-heavy workloads, such as artificial intelligence, deep learning and high performance data analytics.

Tencent Cloud Adopts NVIDIA Tesla for AI Cloud Computing

NVIDIA announced that Tencent Cloud will adopt NVIDIA® Tesla® GPU accelerators to help advance artificial intelligence for enterprise customers. NVIDIA’s AI computing technology is used worldwide by cloud service providers, enterprises, startups and research organizations for a wide range of applications.

NVIDIA Jetson TX2 Enables AI at the Edge

NVIDIA unveiled the NVIDIA® Jetson™ TX2, a credit card-sized platform that delivers AI computing at the edge — opening the door to powerfully intelligent factory robots, commercial drones and smart cameras for AI cities. Jetson TX2 offers twice the performance of its predecessor, or it can run at more than twice the power efficiency, while drawing less than 7.5 watts of power. This allows Jetson TX2 to run larger, deeper neural networks on edge devices. The result: smarter devices with higher accuracy and faster response times for tasks like image classification, navigation and speech recognition.

UMass Amherst Boosts Deep Learning Research with Powerful New GPU Cluster

With a new cluster of specialized graphics processing units (GPUs) now installed, the University of Massachusetts Amherst is poised to attract the nation’s next crop of top Ph.D. students and researchers in such fields as artificial intelligence, computer vision and natural language processing, says associate professor Erik Learned-Miller of the College of Information and Computer Sciences (CICS).