Cloud-Based Rendering Solution
Provide a variety of computing power resources to meet the needs of rendering on GPU, CPU, support the rapid creation and management of clusters, minimize labor and cost investment, so that users can focus on the creative business of rendering.
Business Challenges
High investment cost
When users build their own rendering clusters, they need to purchase a large number of hardware devices, and the investment costs and subsequent maintenance and operation costs are very high.
Low resource utilization
As business changes, self-built rendering clusters are unable to achieve on-demand elasticity and scalability of resources, and resources cannot be efficiently utilized during business downturns.
Single computing power resource
In the face of different rendering scenarios, customers need to maximize the acceleration effect by matching different computing power units, and self-built services can’t temporarily adjust the type of hardware.
Difficult to adapt to business expansion
Rendering business has obvious peaks and valleys effect, regular rendering service can’t flexibly expand the capacity to meet the business demand during the peak period of the customer’s business.
Solution Strengths
Efficient data management
Massive video files are managed through shared file storage, which facilitates data access to computing nodes for processing while safeguarding data security.
High rendering efficiency
Minute-by-minute elasticity and high-performance resource scheduling can easily cope with larger-scale rendering clusters and parallel demand for rendering tasks.
Strong scalability
High-performance computing resources and storage resources can be called up on demand, avoiding business peaks and vacant resources.
Hybrid cloud architecture
Support customers’ on-premise and cloud networks to build an integrated rendering service on and off the cloud.
Product Selection
Cloud-Based Rendering Architecture
Provide a variety of professional GPU rendering power to help users build their own rendering process and utilize the scheduling ability of massive GPU computing power resources to efficiently complete visual creation work.
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