Private GPU Cloud for Education
Create a cloud-driven learning environment to evolve with the demands of academic users to do more on any device and anywhere, while cutting costs and increasing efficiency.
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How Private GPU Cloud
Enables a New Way of Learning
Cloud Classrooms are the Cloudalize way of teaching. It shifts the focus from physical to the Cloud. Cloud Workstations, a GPU-enabled Desktop-as-a-Service, allow users to easily access course content, applications, and data over 4G, 5G or Wi-Fi. Place and time are no longer barriers to learning. Teachers can collaborate with others on the same project or instantly upload learning materials anywhere. Students can easily learn or do group work at home or while on the go on a shared file and with access to the most updated course content.
Similarly, you can set up a virtual classroom and enable BYOD policies to bridge the gap where traditional classroom setup is not allowed. Virtual learning reduces both the infrastructural costs for physical classrooms and expenses of onboarding regular teachers in a faculty. They can create and deliver lessons on their devices from remotely – matching the convenience of accessing learning at the fingertips.
On-campus or Online Computer Labs
Cloudalize expands the use of the traditional computer labs used for lectures, presentations or focused group work. Cloudalize’s technology can be installed on the computers on-campus but access can be granted to any device off-campus. This extends the life of older legacy machines but gives the flexibly to institutions to implement a BYOD policy.
Having uninterrupted access to computer labs is important for students who need high-spec computers to do coursework and learn specialised programs such as Autodesk software or Adobe Suite. Built on cutting-edge GPU technology, Cloudalize Cloud Workstations offer high performance online computer lab environments – customised to suit your curriculum or training package.
Virtual Research Labs
The potential of the cloud is unmatched when it comes to resource allocation. Research scholars, particularly in the field of design and engineering, require more compute resources for demanding tasks such as creative production (graphics and video rendering), high-performance computing (HPC), and Artificial Intelligence (AI). You can quickly set up a virtual research lab within the private cloud environment and optimise resource allocation with Kubernetes GPU Cloud.
Kubernetes GPU Cloud is a Cloudalize technology that helps you effectively utilise the hardware 24/7 for research during the evening or off-peak hours. You can thus achieve economies-of-scale for your private cloud, as idle resources can be shared for animation rendering or AI calculations, which will provide a solid backing for animation teaching, research and experiment.
BYOD refers to educators and students using their own mobile devices, such as smartphones, laptops and tablets to connect to their organizational networks and access work-related or course-related systems and potentially sensitive or confidential data.
With a cloud-based platform as Cloudalize, the requirements of hardware resources are minimal, and security is guaranteed. Applications can operate seamlessly on internet browsers or via a gateway on different devices. Students can still access everything in a cloud-based storage and learn with any low-end devices that they own – eliminating investment in an expensive computer for taking specialised courses. Learning made simpler with the cloud!
Why Private GPU Cloud
In comparison with traditional Virtual Desktop Infrastructure (VDI), Cloudalize offers a fully-managed service which deploy large numbers of computing resources quickly and at a fixed price.
You can easily manage the usage peaks and traffic spikes from the Cloud Cloud Platform’s Admin Portal, for example, assigning extra resources at peak times – during course hours and reallocating compute power for AI workloads on the same hardware at off-peak times.
Private GPU Cloud provides IT automation capability that enables educational institutes to quickly scale up the learning applications and experiences if the number of students increases. It also allows you to scale down computing resources easily in the low activity season – enabling capacity management and budget control.
You can control access to the network and roll out cloud services in a secure environment, as our platform enables both single- and multi-tenancy – separating departments in your school, college, or university, each with its own organizational unit including a private network and isolating each project in its own private network container.