Deploy Models.
Serve at Scale.
Deploy trained models as production-ready APIs with auto-scaling and load balancing. vLLM, Triton, TGI. From REST endpoints to high-throughput pipelines. All on sovereign European infrastructure.
From model to production API in minutes.
Our inference infrastructure handles scaling, load balancing, and monitoring. So your team can focus on building great AI products instead of managing infrastructure.
One-Click Model Deployment
Deploy any model as a production-ready API endpoint with a single command. Bring your own model or choose from our model registry. We handle containerization, GPU allocation, and load balancing automatically.
- REST & gRPC endpoints
- Starlex AI compatible API
- Deploy in under 60 seconds
High-Throughput Performance
Serve your models with sub-millisecond time-to-first-token and sustained high throughput. Our infrastructure uses continuous batching, PagedAttention, and speculative decoding to maximize GPU utilization.
- Continuous batching
- PagedAttention (vLLM)
- Speculative decoding
Intelligent Auto-Scaling
Scale from zero to hundreds of GPU instances automatically based on incoming traffic. Our scheduler predicts demand spikes and pre-warms instances to eliminate cold starts. Pay only for what you use.
- Scale to zero when idle
- Predictive pre-warming
- Per-second billing
A/B Testing & Monitoring
Roll out model updates with confidence. Split traffic between model versions, measure performance differences in real time, and roll back instantly if needed. Built-in monitoring for latency, throughput, and error rates.
- Traffic splitting & canary deploys
- Real-time latency monitoring
- Instant rollback capability
Works with the tools you already use.
No proprietary SDKs required. Deploy models trained with any framework and serve them via industry-standard inference engines.
vLLM
High-throughput LLM serving with PagedAttention. Optimal for text generation workloads with continuous batching.
NVIDIA Triton
Multi-framework inference server supporting PyTorch, TensorFlow, ONNX, and TensorRT with dynamic batching.
TGI (Text Generation Inference)
Hugging Face's production inference server. Token streaming, quantization, and watermarking out of the box.
Powering production AI applications.
Conversational AI & Chatbots
Serve LLMs for customer-facing chatbots and internal copilots with low latency streaming responses. Auto-scale during peak hours and scale to zero overnight to optimize costs.
Document Processing
Extract, classify, and summarize documents at scale. Process thousands of pages per minute with parallel inference pipelines.
Real-Time Translation
Deploy multilingual models for real-time translation APIs with sub-100ms P99 latency across all EU languages.
Embedding & Search
Generate embeddings for semantic search, RAG pipelines, and recommendation systems. Batch and real-time modes with high throughput GPU-accelerated inference. Starlex AI compatible embedding endpoints.
Secure capacity before we go live.
Your early commitment helps finance the build. Founding Partners co-create Europe's GPU future. With preferred pricing, guaranteed capacity, and direct influence on the platform.