VirtAITech
www.virtaitech.comVirtAITech was established in 2019, focusing on building an efficient AI computing resource pool, helping customers improve the utilization of AI computing resources, reducing TCO, and improving the efficiency of algorithm engineers. The company's self-developed OrionX AI computing power resource pooling software can help enterprise customers build data center-level AI computing power resource pools, and conduct unified management, maintenance and deployment of various AI computing power resources of customers. VirtAITech uses software defined computing power, subverting the traditional architecture of AI applications that directly call physical computing resources, decoupling AI applications and physical computing resources, not only supporting local computing power virtualization, but also breaking the physical boundary of scheduling, allows user applications to transparently use remote computing resources on other physical machines without modifying the code. With almost zero performance loss, it can achieve data center-level computing resource pooling management and flexible scheduling. Improve the utilization and management flexibility of the entire resource pool.
Read moreVirtAITech was established in 2019, focusing on building an efficient AI computing resource pool, helping customers improve the utilization of AI computing resources, reducing TCO, and improving the efficiency of algorithm engineers. The company's self-developed OrionX AI computing power resource pooling software can help enterprise customers build data center-level AI computing power resource pools, and conduct unified management, maintenance and deployment of various AI computing power resources of customers. VirtAITech uses software defined computing power, subverting the traditional architecture of AI applications that directly call physical computing resources, decoupling AI applications and physical computing resources, not only supporting local computing power virtualization, but also breaking the physical boundary of scheduling, allows user applications to transparently use remote computing resources on other physical machines without modifying the code. With almost zero performance loss, it can achieve data center-level computing resource pooling management and flexible scheduling. Improve the utilization and management flexibility of the entire resource pool.
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City (Headquarters)
Beijing
Industry
Founded
2019
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