tencent cloud

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.