AI Infrastructure Reliability: Availability, Recovery & Operations
Learn how production AI changes infrastructure requirements for availability, recovery, storage, networking, monitoring, capacity, and Day 2 operations.
Lire la noteNotes de terrain / Dernières nouvelles
Des notes d’ingénierie issues de l’exploitation d’infrastructures ouvertes : pannes, décisions de conception et travail upstream qui améliorent l’infrastructure ouverte.
Parcourir toutes les notesLearn how production AI changes infrastructure requirements for availability, recovery, storage, networking, monitoring, capacity, and Day 2 operations.
Lire la noteNot sure whether to upgrade or migrate your OpenStack cloud? Learn how to evaluate architecture, hardware, storage, networking, technical debt, and operational complexity.
Lire la noteData residency isn't the same as data sovereignty. Five questions that actually determine who controls your workload, and why the answer matters more than where the servers sit.
Lire la noteAI, without the prescribed destination
GPU infrastructure, managed model inference and professional services. Use one offer or combine them around your data, systems and goals.
The portfolio
Buy accelerated infrastructure, consume a managed model endpoint, or bring us the business problem. Each offer stands alone. Together, they become a complete path to production.
Dedicated accelerated compute for training, inference and demanding technical workloads.
Production model endpoints without the burden of assembling and operating the serving stack.
Find the valuable work, select the right model and turn AI potential into a working system.
The AI Product Line
Start with infrastructure, consume a managed model endpoint or bring us the business problem. Each offer works independently and can connect with the others.
Dedicated accelerated compute for training, inference and demanding technical workloads.
Explore OfferProduction model endpoints without the burden of assembling and operating the serving stack.
Explore OfferFind the valuable work, select the right model and turn AI potential into a working system.
Explore OfferStart with the offer you need today. VEXXHOST can connect the other layers when your requirements grow.
Why VEXXHOST
AI projects become infrastructure, security and operational projects the moment they reach production. That is the work VEXXHOST already knows how to do.
Choose where requests are processed and where data lives instead of inheriting a single vendor's architecture.
Atmosphere, OpenStack and Kubernetes keep the infrastructure portable and understandable.
Monitoring, model operations, platform upgrades and infrastructure support remain part of the relationship.
Retention controls and jurisdiction-specific deployments can be scoped around the workload.
Use open, commercial or custom models according to quality, latency, cost and governance needs.
Strategy, application integration, inference and infrastructure can sit with one engineering organization.
Start with a real workload
Tell us what you want to improve, what data is involved and where it needs to run. We will shape the product and deployment around it.
Direct line / Sales engineering
A VEXXHOST specialist will follow up directly.