TensorFlow Enterprise delivers enterprise-grade support, performance, and managed services for your AI workloads. Together, these services and products can accelerate your software development and ensure the reliability and performance of your AI applications. TensorFlow Enterprise is the only offering brought to you by the creators of TensorFlow.
Supported and seamless
The best of TensorFlow meets the best of Google Cloud. Ensure your TensorFlow project's success with enterprise-ready services and support.
Optimized for performance
Accelerate and scale your ML workflows on the cloud with compatibility-tested and optimized TensorFlow.
Security patches and select bug fixes for up to three years.
Prioritized patches and bug fixes into the mainline TensorFlow code repository.
White-glove service to help solve your advanced AI challenges.
Prepackaged and optimized
Enterprise-ready and performance-tuned TensorFlow through containers and virtual machines.
Instant cloud scale
Automatic provisioning, optimizing, and scaling of resources across CPUs, GPUs, and Cloud TPUs.
Works across Google Cloud
Develop and deploy your application across managed services, like AI Platform and Kubernetes Engine.
What’s the difference between TensorFlow Enterprise and TensorFlow?
The TensorFlow Enterprise services and products are unique to Google Cloud, but are built using TensorFlow. TensorFlow Enterprise adds enterprise and cloud-specific features, like long-term version support.
Which products and services are included as part of TensorFlow Enterprise?
TensorFlow Enterprise currently includes Deep Learning VMs, Deep Learning Containers, or AI Platform Training and Prediction.
What does long-term support include?
The long-term support of TensorFlow Enterprise applies to specific versions of TensorFlow. These versions will include three years of support in the form of security patches and selective bug fixes. This support is separate from any other support (such as Technical Support Services/TSS) or Deprecation Policy offered for any related Google Cloud Platform Services under the Google Cloud Platform Terms of Service.
How do I qualify for the white-glove service?
The service is open to customers who have spent $500,000 annually or are willing to commit to a spend of $500,000 annually on Deep Learning VMs, Deep Learning Containers, or AI Platform Training and Prediction. White-glove service is a separate service from any standard Google Cloud Platform Support a customer may have purchased or otherwise qualified for and subject to different terms/response times.
TensorFlow Enterprise is available at no additional cost.
The white-glove service is available to select applicants, who must be customers of TensorFlow Enterprise or related products, like Deep Learning VMs, Deep Learning Containers, and AI Platform Training and Prediction.
Learn and build
New customers get $300 in free credits to learn and build on Google Cloud for up to 12 months.
This product is in beta. For more information on our product launch stages, see here.
Cloud AI products comply with the SLA policies listed here. They may offer different latency or availability guarantees from other Google Cloud services.