Virtual Machines
KVM, OpenStack, Proxmox VE and KubeVirt
GPU Infrastructure
AI infrastructure, without giving away your data.
We build GPU infrastructure for AI inference in your environment: GPU servers and VMs with passed-through GPUs, local language models, embeddings and retrieval. Your data never leaves your premises.
- NVIDIA
- PCIe Passthrough
- vLLM
- OpenAI-compatible API
- Qdrant
- KVM
- Kubernetes
Features
GPU servers and GPU VMs
Dedicated GPUs on bare metal or through PCIe passthrough in virtual machines.
Local model inference
Open language models behind an OpenAI-compatible API, with vLLM.
Retrieval and embeddings
Vector database and embedding models for RAG, right next to inference.
Data stays in-house
Prompts, documents and results never leave your infrastructure.
Storage for models
Models and datasets on block, file or object storage.
Operations and monitoring
GPU utilisation, memory and throughput at a glance.
Use cases
01
Internal AI assistants
Language models for knowledge, documents and support, without external AI services.
02
Document analysis
Classification, extraction and semantic search across large document collections.
03
Evaluation
Test and compare models before they go to production.
Services
Let's talk about your infrastructure.
An architecture review, a new environment from the ground up or support in operations: talk directly to the engineers who will deliver it.