NVIDIA Picasso
NVIDIA Picasso is a cloud-based generative AI foundry from NVIDIA for building, training, and deploying visual generative models that produce images, video, and 3D content from text prompts.
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Offline inference
Offline inference (also called batch inference, static inference, or bulk scoring) is the practice of running a trained machine learning model over a known set of inputs ahead of time and storing the resulting…
Online inference
Online inference (also called dynamic inference, real-time inference, or on-demand prediction) is the practice of running a trained machine learning model synchronously inside a request path
Post-processing
In machine learning, post-processing is any operation applied to a model's raw outputs after the prediction step but before the results reach a downstream system or end user.
Static inference
Static inference is a machine learning serving pattern in which a model generates a batch of predictions offline, ahead of time, and caches them so that applications read the precomputed answer from storage…
TensorFlow Serving
TensorFlow Serving (often shortened to TF Serving) is Google's open source system for serving machine learning models in production: it loads trained models, exposes them over gRPC and REST APIs, and manages…