GPU-Accelerated Microsoft Azure
NVIDIA has been creating GPUs since 1993.
Since then, NVIDIA has evolved the original GPU into something far more intelligent; they now harness high-performance computing, artificial intelligence and virtual reality.
NVIDIA on Azure enables you to:
- Accelerate scientific discovery
- Develop new internet services
- Design self-driving cars and intelligent machines
- Create photorealistic virtual worlds
What is NVIDIA on Azure?
Microsoft Azure offers a global-scale cloud platform with key high-performance computing (HPC) enablement.
This is further enhanced with NVIDIA’s GPU technology.
NVIDIA offers a range of HPC Azure virtual machines that will allow you to do so much more with AI.
NGC (NVIDIA GPU Cloud)
These are a broad range of performance-engineered containers for AI, HPC and HPC visualisations. They can run on Azure N-series machines and contain all the necessary dependencies for optimal performance.
Meeting the needs of data scientists, developers and researchers with varying levels of AI expertise, NVIDIA’s NGCs:
- Accelerates productivity with easy-to-deploy AI frameworks and HPC application containers
- Lowers the barrier to AI adoption with pre-trained models and workflows
- Maximises utilisation. NGC can run on-prem, in the cloud and edge, or using hybrid and multi-cloud deployments
Azure Machine Learning Service
Use Azure Machine Learning service to accelerate the machine learning lifecycle. Driven by powerful NVIDIA GPUs.
- Tune hyperparameters faster with automated machine learning
- Increase productivity and cut costs with autoscaling GPU clusters and built-in machine learning operations
- Deploy to the cloud and the edge with one click
- Access all this through any Python environment
GPU-Accelerated Virtualised Graphics
Access the most demanding professional design and engineering applications from the cloud with NVIDIA Quadro Virtual Workstation for GPU-accelerated graphics on Azure.
NVIDIA’s developer solutions cover:
- High Performance Computing
- Machine Learning
- Autonomous Machines
- Ray Tracing
- Deep Learning
- Autonomous Vehicles
- Game Development
- Design and Visualisation