Ship AI Features without an ML Platform Team
Deploy scalable AI workloads on managed Kubernetes infrastructure with pre-integrated monitoring, GPU orchestration, and European hosting without building an MLOps platform.
Hosted in EU data centers
Monitoring
with Prometheus
Kubernetes-native
deployments
Built for Reliability
Server-grade GPU hardware. High-availability. Scalable, enterprise-level performance.
No vendor lock-in
We choose the right hardware for your use case and keep it compatible with your stack.
Secure & private
EU-hosted by default for data sovereignty and privacy.
AI-Ready Infrastructure
Prebuilt GPU infrastructure for AI workloads
Pre-configured GPU clusters with the observability, orchestration, and deployment tools AI teams need— eliminating weeks of integration work.
Observability without the MLOps overhead
Out-of-the-box Prometheus, Elasticsearch, Grafana, and Fluent Bit. Just label or annotate your pods, and your data is automatically collected, stored, and visualized.
Prometheus
Elasticsearch
Grafana
Fluent Bit
Private OCI Registry for instant AI deployments
Clusters are pre-authenticated with our high-performance OCI registry. Push once, and your apps can pull securely without extra steps.
Pre-authenticated cluster access
Artifact caching for faster pulls
Supports Docker + OCI formats
Why Asergo
GPU Infrastructure Without Cloud Lock-In and MLOps Overhead
Choose Your Hardware
We deploy H200, GB200, or A100 clusters based on your workload— not what's available in a cloud region.
Kubernetes-Native
Extends your existing K8s infrastructure with GPU nodes— no separate ML platform to manage.
EU Data Sovereignty
Hosted exclusively in European data centers for GDPR compliance and data residency requirements.
Predictable Costs
Fixed monthly infrastructure costs with transparent pricing— no surprise egress or API charges.
Our Approach
Custom AI Infrastructure
Reliable AI infrastructure starts with your workload. We design, build, and operate GPU capacity on Kubernetes without lock-in.
Contact our engineersUnderstanding Your AI Workload
Technical consultation to map GPUs, frameworks, and constraints (air-gapped, hybrid). Output: a clear requirements brief.
Extend your Kubernetes cluster by adding GPU nodes.
Integrate a dedicated private GPU server in your Kubernetes cluster.
Building Your Custom Infrastructure Blueprint
Tailored GPU architecture for performance, cost, and scale. Integrates with your Kubernetes. Power-efficient and future-ready.
Rapid Deployment with Continuous Expertise
Go live in EU data centers. We operate and scale it—or your team runs it with our expert support.
Usecases
Workload
Multi-GPU distributed training for foundation or domain-adapted models (pretraining / SFT / LoRA).
Asergo Solution
High-memory GPU nodes on Kubernetes with fast NVMe, 100–200GbE networking, NCCL/RDMA, and object storage. Ray/PyTorch operators supported.
Integrations
Workload
Low-latency, high-throughput text/chat embedding & generation (batching, tensor parallel).
Asergo Solution
vLLM/Triton deployments with GPU-aware autoscaling, token-throughput-based HPA, and blue/green rollouts.
Integrations
Workload
Fast prototyping: notebooks, small fine-tunes, eval pipelines, and dataset exploration.
Asergo Solution
Self-service GPU workspaces (Jupyter/VS Code), ephemeral namespaces, budget quotas, and PVCs for datasets.
Integrations
Workload
Production RAG, multimodal services, and internal copilots with strict SLOs and compliance.
Asergo Solution
HA GPU services with canary/blue-green deploys, SLO-driven scaling, zero-trust networking, and audit trails.
Integrations
Ready to deploy AI infrastructure?
Our infrastructure engineers will design a GPU cluster tailored to your workload, compliance requirements, and scale. Schedule a technical consultation.
FAQ
Frequently Asked Questions
Here are some of the most frequently asked questions about Asergo. If you have any other questions, please contact us.