Cloud computing is more prevalent today than it was some years ago, but bigger companies still face compatibility and scalability issues.
A cloud platform being not compatible with various technologies and software is a problem that many face, but it especially affects the field of engineering. Many engineers have to run countless complex simulations that require high computational power. And while the cloud may be faster than an on-premises environment, if it’s not perfectly tailored to a particular use case, the results might be even worse.
To discuss the importance of a highly adaptable cloud computing environment and the role of cloud experts in organizations, Cybernews reached out to Wolfgang Gentzsch, the President of UberCloud, which is a cloud simulation platform for engineers. In this Cybernews interview, we touched on many engineering cloud simulation topics, such as:
To discuss the importance of a highly adaptable cloud computing environment and the role of cloud experts in organizations, Cybernews reached out to Wolfgang Gentzsch, the President of UberCloud, which is a cloud simulation platform for engineers. In this Cybernews interview, we touched on many engineering cloud simulation topics, such as:
- Automated, self-service engineering cloud simulation platform
- With HPC containers guarded by Login & Password
- For Ansys, Dassault, Siemens, Comsol, etc etc workloads
- On AWS, Azure, Google, Oracle, and other clouds
- Cloud and application agnostic
- Dedicated single-tenant servers
- Running on engineer’s company cloud account
- In a Fort-Knox-like hyperscaler infrastructure
- Under full & exclusive control of the engineer
- Highly customizable cloud platform
- Macro- versus micro-services
- Multi-node multi-container scalability
- GPUs, MPI, Infiniband interconnect
- Batch and interactive processing
- Software license servers in the cloud
- Job scheduling & workload management
- Fully equipped virtual desktop
- Unlimited computing power
- Cost control
- Innovation, competitiveness
- Engineering productivity, time to market
- Working from home, working from anywhere
- On-demand, reserved, and spot instances
- C-level responsibility, C-level commitment
- Do-it-yourself??
- Roadblocks to the cloud
- Lengthy internal disputes resulting in delays
- Lack of cloud experts and cloud expertise
- Multi-cloud portability
- Cyberattacks and cybersecurity
- Multi-Physics simulations
- AI/Machine Learning
- Digital Twins
- Data Analytics
- Personalized Healthcare and Medical Devices
- Natural Language Processing
- Autonomous Driving
- And IoT/Edge
For the full 8-minute interview, please go to HERE.
