Independent Cloud & AI Advisory

Cloud & AI

Your Trusted partner, Every Step of The Way.

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.

Cloud ArchitectureMove to CloudAI Advisory AI FactoryLLM & GPU Platforms
Cloud & AI Architecture

Build production-ready Cloud and AI platforms.

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.

ThinkStrategy, use cases & architecture Identify priorities, assess readiness, define target architectures, roadmaps and governance for Cloud and AI initiatives.
BuildPlatforms, migration & industrialization Design and implement Cloud and AI platforms, migrate workloads, integrate technologies and move use cases from design to production.
RunOperate, optimize & evolveSupport production environments, optimize performance and costs, and continuously improve Cloud and AI platforms as requirements evolve.
Core expertise

Senior expertise across Cloud and AI.

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.

☁

Cloud Strategy & Move to Cloud

Define the target Cloud architecture and the path from existing infrastructure to secure, production-ready platforms.

  • Cloud readiness & strategy
  • Target architecture & landing zones
  • Migration roadmap
  • Hybrid & multi-cloud
  • Move to Cloud leadership

Architecture

Design the infrastructure and platform layers required to run modern Cloud and AI workloads at scale.

  • Cloud platform architecture
  • GPU & inference infrastructure
  • Kubernetes platforms
  • LLM & GenAI architecture
  • Architecture governance & Design Authority

AI Advisory & AI Platforms

Turn AI opportunities into deployable use cases, platforms and operating models.

  • AI strategy & roadmap
  • Use-case identification & prioritization
  • AI Factory advisory
  • RAG & agentic architectures
  • Sovereign, hybrid & Cloud AI
Technology lifecycle

Support beyond the architecture.

CloudSherpa can extend advisory engagements into migration, operational support and ongoing optimization.

Move to Cloud

Assessment, migration strategy, architecture and transformation leadership.

Technology Advisory

Senior technology leadership and DSI-as-a-Service without building a full-time function.

CloudOps

Operational support for Cloud environments, availability and platform lifecycle.

FinOps

Cloud cost visibility, optimization, governance and continuous improvement.

Why CloudSherpa

Independent by design.

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.

From strategy to productionWe bridge the gap between advisory, architecture and implementation to turn decisions into working production environments.
Pragmatic architectureWe design solutions that are not only technically sound, but also secure, operable, scalable and economically sustainable.
Cloud & AI as one continuumWe connect infrastructure, Cloud platforms, AI architectures and business use cases instead of treating them as separate silos.
Local insightWe work closely with our clients and bring a strong understanding of the Moroccan market and its regulatory constraints.
Stéphane Guelfo, founder of CloudSherpa
Built on senior expertise

Architecture depth. Business perspective.

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 →
Insights

Practical thinking for real-world AI & Cloud decisions.

Architecture notes, AI platform patterns, technology comparisons and transformation lessons — focused on decisions that matter in production.

01

Designing an enterprise AI Factory

From use-case intake to platform, governance and delivery model.

02

When sovereign AI really matters

How to choose between frontier models, private deployments and hybrid patterns.

03

GPU platforms for inference

Key architecture choices for vLLM, Kubernetes and production-grade LLM serving.

Deployment freedom

Cloud, hybrid or sovereign AI.

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.

Frontier models
Private LLMs
GPU infrastructure
Hybrid & sovereign AI
Start a conversation

Planning an AI or Cloud initiative?

Let's discuss your objectives, architecture constraints and the best path from strategy to execution.

[email protected] →