It's also worth noting that the leading deep learning frameworks all support Nvidia GPU technologies. Moreover, when using Tesla V100 GPUs, these are up to 3 times faster than using Pascal-based ...

GPU-based solutions are empowering more informed, real-time decisions: “With the need to embed more intelligence and automation into data analytics to address scientific and business challenges, ...

Over the last few years we have detailed the explosion in new machine learning systems with the influx of novel architectures from deep learning chip startups to efforts from vendors and hyperscalers ...

Microsoft Azure cloud customers can now use Nvidia’s GPU Cloud for the training and inference of deep learning models. The Nvidia GPU Cloud provides software containers to accelerate high ...

Nvidia’s GPU Cloud offers developers preconfigured containers with software accelerated by its graphics processing units, which offer better performance than standard central processing units ...

Continuum Analytics, H2O.ai, and MapD Technologies have announced the formation of the GPU Open Analytics Initiative (GOAI) to create common data fram ...

For other general-purpose workloads, i.e. other than deep learning, the NVidia V100 is challenged from the performance and efficiency perspective. The re-configurability of FPGAs in addition to the ...

In this video from the NVIDIA GPU Technology Conference, Bruno Monnet from HPE presents: Improving Deep Learning scalability on HPE servers with NovuMind: GPU RDMA made easy. “ HPE Deep Learning ...