Back to top

PORTFOLIO

Ai With Cloud Hpc


Advances in predictive computing require more and more computing resources. This observation concerns all sectors and requires ever greater needs for skills in HPC and AI.

A flexible and efficient approach is to use the HPC resources of cloud providers to generate the artificial intelligence models. This makes it possible to use the most efficient HPC resources in terms of computing power but also energy performance.

Migrate the whole IT in the Cloud


Today, the expected benefits of a cloud migration project relate to improved profitability, scalability and resilience.

One of the key challenges is then to make this transfer without degrading the quality of service and with a guarantee of the integrity of the company's data at all stages of the project. A detailed mapping of IT resources but also of current and expected business processes makes it possible to write a pragmatic roadmap, linking needs and strategy.

Kubernetes for Data Analytics


Now we often read "Kubernetes is boring"...

Leader of container orchestrators has reached the maturity necessary to allow an infrastructure to be managed efficiently and with great reliability. The business constraints, sometimes very specific, can be transmitted to him so that he applies them faithfully.

Kubernetes is a solution of choice for building a Data Analytics platform capable of orchestrating a large number of processes, and of processing and valuing a high volume of data on a daily basis, while maintaining control over the cost / benefit ratio.

Think'Up Labs - Your Digital Innovation Lab
linkedin

Direct Links