Why Do We Need the Open Visual Cloud?
What is the Open Visual Cloud?
Building Blocks
Open Visual Cloud Services
- Increasing flexibility and optimizing processing: Virtualization and software-defined infrastructure (SDI) make it easier to balance workloads on available resources. The open source Scalable Video Technology is an example of using software to optimize processing on x86 machines.
- Scaling compute, storage, and network resources: Dynamic elasticity is a major advantage when contending with visual cloud workloads. Adopting a modern cloud infrastructure powered by a new generation of scalable processors increases resource availability substantially.
- Enhancing development processes: High performance, open sourced media, AI, and graphics software components, along with sample reference pipelines that demonstrate how to construct new Visual Cloud services quickly and easily support rapid application development and help reduce time to market for new revenue.
- Deploying purpose-built solutions for select use cases and edge computing: Specialized hardware—including discrete graphics processing units (GPUs), integrated GPUs, field programmable gate arrays (FPGAs), and video processing units (VPUs)—can boost performance for select applications in which a single, targeted workload must be handled on a large-scale basis.
- Implementing modern cloud architectures: For performing operations on large, complex data files and delivering elastic processing power to efficiently handle ebbs and flows in intensive computing operations, modern cloud architectures hold the key to effective workload distribution.