Transform the network from a connectivity platform to a connectivity and compute platform with dynamic workload allocation. Get flexibility in how you manage, run, and operate your network and support various workload requirements. Edge computing, orchestration of virtualized applications, and acceleration together enable agile business methods that lead to optimal use of infrastructure to drive down costs, the ability to offer differentiating services that use edge capabilities, quicker time-to-market for new network and application features, and more flexibility to scale capacity up or down as required to meet customer needs.
Opensource:
Time, space, and power are all critical for edge deployments. When you use accelerators such as FPGAs and GPUs, managing the low-level software (drivers) to run them can be a challenge. As part of our efforts around the Adrenaline project, we’ve shared tools to ease the management of hardware accelerators in Kubernetes. These tools are available .
Get Involved:
Project Adrenaline only scratches the surface of what’s possible with accelerated edge computing. The uses for edge compute are vast and rapidly evolving. As you plan your edge strategy, be sure to include the capability to manage programmable accelerators and reduce your dependence on single-purpose ASICs. Deploying redundant and flexible platforms is a great way to reduce the time and expense of managing components at thousands or even millions of edge locations. We encourage you to share your experiences and help us add support for a broader set of accelerators. Find out how by checking out our page.
Why Adrenaline?
Transform the network from a connectivity platform to a connectivity and compute platform with dynamic workload allocation. Get flexibility in how you manage, run, and operate your network and support various workload requirements. Edge computing, orchestration of virtualized applications, and acceleration together enable agile business methods that lead to optimal use of infrastructure to drive down costs, the ability to offer differentiating services that use edge capabilities, quicker time-to-market for new network and application features, and more flexibility to scale capacity up or down as required to meet customer needs.
Opensource:
Time, space, and power are all critical for edge deployments. When you use accelerators such as FPGAs and GPUs, managing the low-level software (drivers) to run them can be a challenge. As part of our efforts around the Adrenaline project, we’ve shared tools to ease the management of hardware accelerators in Kubernetes. These tools are available.
Get Involved:
Project Adrenaline only scratches the surface of what’s possible with accelerated edge computing. The uses for edge compute are vast and rapidly evolving. As you plan your edge strategy, be sure to include the capability to manage programmable accelerators and reduce your dependence on single-purpose ASICs. Deploying redundant and flexible platforms is a great way to reduce the time and expense of managing components at thousands or even millions of edge locations. We encourage you to share your experiences and help us add support for a broader set of accelerators. Find out how by checking out our page.