It offers a dedicated environment for developing and deploying AI models, providing enhanced control, security, and performance. The private cloud is particularly beneficial for resource-intensive AI workloads, where scalability and data privacy are critical. It allows you to maintain strict control over your infrastructure, data, and AI models, ensuring data sovereignty and compliance with regulations.
Security: If you have very sensitive personal data, the platform provides a long-term sense of security that it is located on local servers - in Denmark for compliance with EU regulations and in the US for compliance with US regulations. Hence, compliance management is made is easy.
Easy access to high-performance computing: The large computing power is absolutely crucial for developing and training AI models. The flexibility provided in the solution is important, so you can scale up the capacity when you train, and scale down when we go live in production.
HPC system underutilization vs. queues – the dilemma is over:
To meet disruption and have the ability to be innovative in the fourth industrial revolution, you need to achieve faster results of simulation benchmarking studies and simulation success stories. Lean-On HPC simulation services enable an organization to parallelize multiple projects at once and get the bandwidth and resources to simulate more. The ability to handle more simulations, allows you to take on more design work and get more tasks done in the same amount of time.
Lean-On's DaaS platform allows you to run many kernels for throughput-oriented applications. The architecture of the platform is designed with a focus on minimum latency.
Moving simulations to Lean-On HPC resources, enables companies to take advantage of a wide variety of purpose-built hardware at previously unimaginable scales, and have a streamlined workflow in relation to implementation and updates of all engineering software. This unlocks the potential of engineering staff and drives innovation to the next level.
