Tag Archives: rendering

Future cloud-based BIM

Traditional building design was largely reliant upon two-dimensional drawings (plans, elevations, sections, etc.). Building information modeling or “BIM” extends this beyond 3D, augmenting the three primary spatial dimensions (width, height and depth) with time as the fourth dimension (4D) and cost as the fifth (5D), etc.

BIM therefore covers more than just geometry. It also covers spatial relationships, light analysis, geographic information, and quantities and properties of building components (for example, manufacturers’ details).

The real added value of using BIM is in the supply chain. The interdisciplinary collaboration within a construction project proceeds much more efficiently by integrating BIM models with each other.

For instance, BIM gives tools to detect potential clashes between structural, architectural and MEP systems. This not only enables them to solve the problems but to save a large amount of money. If the clashes are detected well before in time there stays no space for further errors in the model.

Clashes can not been avoided without BIM
Clashes can not been avoided without BIM

Now, when cloud computing meets the BIM, the combination is a force to be reckoned with! BIM enables information from all disciplines to overlap and be compared in 3D and project teams to work together to come up with an integrated solution. It can now go much further than just store the BIM models in the cloud.

However, a number of disadvantages when putting GPU-intensive models in the cloud are still there. Hardware and networking upgrades, more robust computers with more memory, RAM, high end graphics cards and multiple CPUs are required.
WAN devices and bandwidth usage increases due to very large file sizes generated by BIM applications and the volume of information sharing arising from the collaborative nature of BIM projects. Autodesk 360 already gives the possibility for multidiscipline design and construction teams to improve project outcomes by moving computation-intensive tasks to the cloud. This enables more rapid simulation and optimized collaboration with access to intelligent, data-rich models.

But in this situation the end-users still rely on high performance on-premise workstations because they are required for the local design and visualization tasks. The deployment of these workstations for (international) project teams is a time-consuming and costly process and must be coordinated months before the deployment.

That’s where GPU Desktop as a Service (GDaaS) comes in the picture. GDaaS provides the project team members with powerful virtual desktops which are already running in a (private) cloud. For the end-users, there is no difference in look and feel and their CAD/CAE software now runs on the virtual Windows workstation. As a result, these virtual workstations can be used on any device such as tablets, thin-clients, personal laptops, etc.

It is to be expected that this will increase the performance of the whole concept since the cloud-based BIM models can be linked effectively to the GDaaS platform which also resides in the cloud.

BIM connected with GDaaS gives best of both worlds
BIM connected with GDaaS gives the best of both worlds

As a result, architect-, engineering- and construction firms can reduce costs on different levels by combining  cloud-based (integrated) BIMs with high performance virtual workstations. This allows them to easily deploy project infrastructure and gives interdisciplinary project collaborators the possibility to work flexible on any device, at highest possible performance and speed.

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What is GPU Desktop as a Service?

Wikipedia definition

GDaaS or GPU Desktop as a Service is a Desktop virtualization niche. Remote desktop virtualization can be provided via a Cloud computing environment similar to that provided using a Software as a service model. This approach is usually referred to as Cloud Hosted Virtual Desktops. Cloud Hosted Virtual Desktops are defined by two technologies: Managed VDI, which is based on VDI technology provided as an outsourced managed service and Desktop-as-a-Service (DaaS) which provides a higher level of automation and real multi-tenancy reducing the cost of the technology. The DaaS provider typically takes full responsibility for hosting and maintaining the compute, storage, and access infrastructure, as well as applications and application software licenses needed to provide the desktop service in return for a fixed monthly fee.

GDaaS or GPU Desktop as a Service. GDaaS infrastructure can effectively deliver graphics- or compute-intensive applications on a whole range of connected devices. By turning every computer or screen into a powerful graphics workstation, it greatly enhances mobile access and remote collaboration
GDaaS or GPU Desktop as a Service. GDaaS infrastructure can effectively deliver graphics- or compute-intensive applications on a whole range of connected devices. By turning every computer or screen into a powerful graphics workstation, it greatly enhances mobile access and remote collaboration

Cloud hosted virtual desktops can be implemented using both VDI and Remote Desktop Services-based systems and can be provided through public cloud, private cloud infrastructure, and hybrid cloud platforms. Private Cloud implementations are commonly referred to as “Managed VDI”.

GPU Desktop as a Service or (GDaaS) goes one step further. It combines latest generation DaaS with GPU in the cloud. This infrastructure can deliver graphics- or compute-intensive applications on a whole range of connected devices. By turning every computer or screen into a powerful graphics workstation.

 

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