CloudSherpa helps organizations build cloud and AI architectures that power their business — From Cloud strategy, infrastructure architecture and migration to AI platforms, GPU infrastructure and production-ready GenAI solutions. We combine senior Cloud architecture expertise with AI advisory and engineering to move from design to production.
CloudSherpa helps organizations identify and prioritize AI use cases and design the Cloud and AI architectures required to run critical workloads in production.
We support Cloud migration, hybrid and multi-cloud architectures, as well as AI platforms combining LLMs, GPU infrastructure, Kubernetes and enterprise integration.
Our focus is on building architectures that are secure, scalable, operable and aligned with business requirements.
CloudSherpa combines senior advisory, architecture and delivery capabilities across Cloud and AI, supporting organizations from strategic decisions through implementation and production.
Our portfolio also includes production-ready AI solutions designed to accelerate the deployment of selected use cases.
Define the target Cloud architecture and the path from existing infrastructure to secure, production-ready platforms.
Design the infrastructure and platform layers required to run modern Cloud and AI workloads at scale.
Turn AI opportunities into deployable use cases, platforms and operating models.
CloudSherpa can extend advisory engagements into migration, operational support and ongoing optimization.
Assessment, migration strategy, architecture and transformation leadership.
Senior technology leadership and DSI-as-a-Service without building a full-time function.
Operational support for Cloud environments, availability and platform lifecycle.
Cloud cost visibility, optimization, governance and continuous improvement.
We recommend technologies, architectures and deployment models based on customer requirements, not vendor commitments.
Whether the right fit is a public Cloud hosted abroad, a sovereign Cloud, a private platform or an on-premises deployment, we select the environment that best matches data, security, performance, regulatory and business constraints.
CloudSherpa is founded by Stéphane Guelfo, a senior Cloud architect with more than 25 years of experience across infrastructure, enterprise architecture and complex IT transformation, now extending this expertise to AI platforms and production GenAI architectures.
His background covers Cloud strategy, Move to Cloud programmes, hybrid architecture, infrastructure governance and complex delivery, with leadership experience at Orange France, Inetum Maroc and N+ONE / OneCloud.
Meet the founder →Architecture notes, AI platform patterns, technology comparisons and transformation lessons — focused on decisions that matter in production.
From use-case intake to platform, governance and delivery model.
How to choose between frontier models, private deployments and hybrid patterns.
Key architecture choices for vLLM, Kubernetes and production-grade LLM serving.
Not every AI workload belongs in the same environment. CloudSherpa designs architectures using frontier AI services, private Cloud platforms or sovereign infrastructure depending on data, performance, security and regulatory requirements.
Let's discuss your objectives, architecture constraints and the best path from strategy to execution.
[email protected] →