tencent cloud

Feedback

qGPU Strengths

Last updated: 2022-05-09 11:41:40

    qGPU Strengths

    • Flexibility: Finely configure GPU computing capacity and vRAM size.
    • Strong isolation: vRAM and computing power can be strictly isolated.
    • Hybrid deployment: Supports online and offline hybrid deployment to maximize the GPU utilization.
    • Coverage: Supports popular architectures including Volta (such as V100), Turing (such as T4) and Ampere (such as A100 and A10).
    • Cloud nativeness: Standard Kubernetes and NVIDIA Docker solutions are supported.
    • Compatibility: No need to rewrite application code or replace CUDA libraries, and it is easily deployed in a way imperceptible to the application.
    • High performance: Virtualization is applied at the underlying layer of GPU devices, realizing efficient convergence and nearly zero loss of throughput.
    Contact Us

    Contact our sales team or business advisors to help your business.

    Technical Support

    Open a ticket if you're looking for further assistance. Our Ticket is 7x24 avaliable.

    7x24 Phone Support