在深度学习的背景下，NVIDIA的CUDA与AMD的ROCm框架缺乏有效的互操作性，导致基础设施资源利用率显著降低。随着模型规模不断扩大而预算约束日益严格，2-3年更换一次GPU的传统方式已不具可持续性。但是Pytorch的最近几次的更新可以有效利用 ...

Unlike Nvidia's previous V100 and T4 GPUs, which were respectively designed for training and inference, the A100 was designed to unify training and inference performance. This breakthrough ...

Nvidia CEO Jensen Huang said deep learning inference "is really kicking into gear" as the chipmaker's T4 GPUs surpassed its Tesla V100 in sales for the first time, a year after the inference chip ...