Google Cloud recognized NVIDIA as the 2018 Google Cloud Partner of the Year for media and entertainment today at Google Cloud Next ‘19 in San Francisco. The award honors NVIDIA for the company’s achievements in the Google Cloud ecosystem, helping joint customers to succeed.
NVIDIA GPUs have long powered stunning visual effects for feature films, including all the best visual effects nominees and winners at the Academy Awards for the last 10 years. As content creators know well, creating Hollywood-caliber visual effects and animated features is no easy task. Creators need access to powerful compute resources and specialized hardware, so they can collaborate easily and produce awe-inspiring movie magic.
NVIDIA helps artists create captivating visual effects, renders and animations faster than ever through innovations such GPU-rendering to AI acceleration.
We’ve been working with Google Cloud to allow Google Cloud Platform (GCP) users to deploy next-generation computer graphics — including real-time ray tracing, AI, simulation and rasterization — from any location, on any device, using virtual workstations.
This week, we announced that GCP is the first major cloud vendor to support the latest NVIDIA Turing architecture with Quadro Virtual Workstation (Quadro vWS) and NVIDIA T4 GPU-powered virtual workstations. The Turing architecture of the T4 features new RT Cores to accelerate ray tracing and new Tensor Cores for AI inference. Together, they make real-time ray tracing possible, opening up creative possibilities that were previously thought to be years away. Artists and designers can now access the power of the RTX platform from the cloud.
GPU-Accelerated Google Cloud Platform
NVIDIA works with Google Cloud to provide creative professionals, AI researchers and data scientists the tools they need to boost performance and workflows. The collaboration includes:
- The NVIDIA NGC container registry, which enables GCP users to easily access the latest GPU-accelerated deep learning and machine learning software and deploy them on high-performance NVIDIA GPU instances.
- NVIDIA’s continuous contribution to Kubernetes.The massive processing power of Google Kubernetes Engine combined with NVIDIA GPUs gives users the ability to tackle compute-intensive workloads such as training and inferencing.
- NVIDIA TensorRT integration with TensorFlow. GCP users can easily access TensorRT to optimize neural network models, calibrate for lower precision with high accuracy and deploy models to the cloud.
- NVIDIA RAPIDS integration into Kubeflow. GCP users can leverage GPUs to enhance speed-up for data pre-processing and machine learning. Data center inference with NVIDIA TensorRT Inference Server on GKE with Kubeflow also allows users to leverage inference in applications.
Experience Cloud-Based Creation
Attendees at NAB this week in Las Vegas can stop by the Google Cloud booth (SU218) to see how broadcasters use NVIDIA T4 GPU-accelerated cloud workstations for all kinds of workflows, from content creation to remote video editing.
Learn more about NVIDIA and Google Cloud.