NVIDIA Fleet Command FAQs

• What is it?

  NVIDIA Fleet Command^™ is a managed platform for container orchestration that streamlines provisioning and deployment of systems and AI applications at the edge. It also simplifies the management of distributed computing environments with the scale and resiliency of the cloud, turning every site into a secure, intelligent location. You can get immediate access to a free hands-on lab of NVIDIA Fleet Command on NVIDIA LaunchPad.
• Who is it for?

  Fleet Command is for IT, operational technology (OT), and innovation teams needing a secure, centralized way to deploy and manage multiple AI workloads across distributed locations.

  Additionally, solutions integration partners building edge applications can leverage Fleet Command for managing multiple customer deployments.
• What are the benefits?

  Fleet Command is built to make edge computing easy and secure. It provides turnkey AI orchestration, layered security, global scale, and an extensive AI ecosystem for integrations with other tools and software.
• How can I buy it?

  NVIDIA Fleet Command subscriptions are available through NVIDIA. If you are interested in learning more about purchasing a subscription, fill out this form and an NVIDIA sales representative will contact you. You can also apply for a free hands-on lab of NVIDIA Fleet Command on LaunchPad here.
• Who provides support?

  A Fleet Command subscription includes NVIDIA Enterprise Support with 24/7 coverage for business critical issues and local business hours, excluding holidays and weekends, for all other severity levels. In addition to support on the platform, customers can purchase first project implementation support and administrator training known as a "Kick Start" or access to a technical account manager (TAM) to help manage support issues.
• Which servers are compatible with it?

  NVIDIA Fleet Command is currently compatible with NVIDIA-Certified^™ Systems. If you do not yet have an NVIDIA-Certified System, you can access a free hands-on lab of NVIDIA Fleet Command on LaunchPad.
• Can I talk to an NVIDIA representative about it?

  https://www.nvidia.com/en-us/contact/sales/
• What is edge computing?

  https://blogs.nvidia.com/blog/2019/10/22/what-is-edge-computing/
• What is edge AI?

  https://blogs.nvidia.com/blog/2022/02/17/what-is-edge-ai/
• What are the security concerns at the edge?

  https://developer.nvidia.com/blog/edge-computing-considerations-for-security-architects/
• Do I need edge computing?

  https://developer.nvidia.com/blog/considerations-for-deploying-ai-at-the-edge/
• What do I need to do to deploy AI applications?

  https://developer.nvidia.com/blog/getting-ai-applications-ready-for-cloud-native/
• Where can I learn more about edge computing?

  https://developer.nvidia.com/blog/an-introduction-to-edge-computing-common-questions-and-resources-for-success/
• What is the difference between deploying at the edge or in the cloud?

  https://blogs.nvidia.com/blog/2022/01/05/difference-between-cloud-and-edge-computing/
• What are the different types of edge computing?

  https://developer.nvidia.com/blog/different-types-of-edge-computing/
• Is edge computing more expensive than cloud computing?

  https://developer.nvidia.com/blog/building-an-edge-strategy-cost-factors/
• What are the benefits of edge AI?

  https://blogs.nvidia.com/blog/2022/02/17/what-is-edge-ai/
• How do I remotely access my edge applications?

  https://resources.nvidia.com/en-us-fleet-command/ai-for-smart-spaces
• How do I get started with edge AI?

  https://resources.nvidia.com/en-us-fleet-command/5-steps-for-edge-ai
• What systems do I need for the edge?

  https://developer.nvidia.com/blog/choosing-a-server-for-deep-learning-inference/