Sentence examples for learning workloads from inspiring English sources

Next, I will show how we can exploit the structure of machine learning workloads to build low-overhead performance models that can help users understand scalability and simplify large scale deployments.

The focus here is mostly on graphics speed, but it can now also be used to speed up machine learning workloads on the GPU.

Google notes that these preemptible GPUs should be a good fit for any fault-tolerant machine learning workloads and other computation-heavy workloads that run in batches.

The Titan V features 5120 Cuda cores and additional 640 tensor cores that have been optimized to speed up machine learning workloads.

Google's Tensor Processing Units (TPUs), the company's custom chips for running machine learning workloads written for its TensorFlow framework, are now available to developers.

In addition to these machine learning workloads, Google Cloud users also can use the GPUs for running remote display applications that need a fast graphics card.

Schiller noted that the chip can now figure out what the machine learning workload looks like and then decide whether to run it on the GPU, CPU or the Neural Engine.

The same was true for role clarity, learning, workload, and skill or staff mix.> These patterns suggest that researchers are missing opportunities to study aspects of health workforce outcomes (e.g., recruitment, collaborative practice) that could be important for the sustainability of healthcare systems and the quality of patient outcomes.

The same is true for perceptions of learning opportunities, orientation to learning, workload, goal direction and emphasis on scholarship.

Sadly, you'll have to wait a bit before you can get started with running your own machine-learning workloads on the Google Cloud Platform.

With this update, the company is building on its strength in this area, but it's also clearly interested in supporting newer machine-learning workloads.