GRD Core Technology
Aggregate distributed computing power. Users work first when they work, and provide computing services for devices that require computing power when they are not working.
You only need to install the corresponding program and related software or plug-in in your computer management system to start the job directly to the rendering node. Provides on-demand batch calculation, multiple model configurations covering CPU / GPU rendering, provides a scheduling framework, automatically manages resources, and achieves extremely fast rendering.
Batch computing is a distributed cloud service suitable for large-scale parallel batch jobs. Supports massive scale of concurrent jobs, the system automatically completes resource management, job scheduling and data loading, and charges based on actual usage. Widely used in biological data analysis, multimedia transcoding, financial insurance analysis, scientific computing and other fields.
Lower rendering prices
|Cost comparison||GRD cloud rendering cost||Cloud rendering cost in the same industry|
|Fixed cost||Use idle computing power in the market||machine room investment $ 704.533 / machine 8 card Geforce1080 $ 704.533 / set|
|Operating costs||GRD public chain technology, co-governance, no need for human operation and electricity costs||Electricity fee: $ 3116.6284 / set / 2 years|
|Technical optimization||Hash chip adjusts hash power according to its own situation to provide computing services||Always working to provide services through cloud-focused data centers|
|Total cost||No upfront investment||equipment cost + power cost + labor cost|
|Unit cost||No cost input||Each Geforce1080 graphics card 0.93 / 8 = $ 0.017 per card / hour 4.46 / 8 = $ 0.079 per USD / card / hour|
Nanjing, ChinaUnder the trend of 5G development, commercial demand for supercomputing has grown geometrically, and marginal computing power has thus solved the huge central computing power investment!
Provide a full range of computing, storage, network and security services. Massive computing resources are available on-demand without human maintenance, which has a cost advantage.
Massive resource scheduling, ready-to-use, no need for low-level maintenance, it is convenient for film and television enterprises to focus on improving core capabilities.
Small teams can also make big productions, allowing creators to pay more attention to the quality of the work itself.
Massive computing resources, any lightweight terminal can also get high-quality 3D rendering.
Significantly reduces the time-consuming drawing, high-quality network transmission experience, and greatly improves work efficiency.
Multiple jobs are rendered at the same time, and the pictures are displayed at a fast speed.
GPU idle computing power is a huge number of computing power in the world. Service providers vary from country to country, from white night time period to electricity cost and cost. This has created a strong market for complementary computing power needs.
Apply GPU mining machine, GPU display, cloud computing resources to the public chain
Provide computing power services, get rewards based on computing power and computing time
Using extra graphics card GPU computing power in the world
Together to provide services for the public chain and get rewards