TensorFlow is an end-to-end open source platform for machine learning from Google.
TensorFlow simplifies ML workflow with modular libraries for data preprocessing, model training, serving, and monitoring. It provides optimizations for diverse hardware like GPUs and TPUs. TensorFlow enables rapid experimentation and productionization of deep learning models.
With its scalability, flexibility, and ecosystem of tools, TensorFlow powers machine learning applications across industries. Leading organizations rely on TensorFlow for computer vision, NLP, recommender systems, time series forecasting, and more.
At SemperSys, our TensorFlow experts follow proven practices to build, deploy, and manage TensorFlow models in production. We customize solutions tailored to your AI needs.
Building and deploying AI solutions with TensorFlow
Rapid Experimentation
We utilize TensorFlow's modularity and abstractions to quickly iterate on ML ideas.
Robust Models
We leverage TensorFlow to build and optimize accurate deep learning models for your data.
Scalable Training
We architect distributed TensorFlow training pipelines leveraging GPU/TPU clusters.
Simplified Serving
We use TensorFlow Serving to reliably and efficiently deploy models in production.
Ongoing Monitoring
We continuously monitor, retrain, and improve your models in production.
Hybrid Deployments
We deploy TensorFlow seamlessly across cloud and on-prem environments.
Custom Extensions
We develop custom TensorFlow ops, layers, and models tailored to your use case.
End-to-End ML Lifecycle
Our TensorFlow experts oversee the full machine learning process from prototype to production.
From Our Minds to Yours
We immerse our expertise in your unique objectives to foster boundless acceleration as we dive into the DNA of your industry.
We Commit to Constant Improvement