As AI and machine learning workloads grow, so do concerns about data sovereignty. Training models on financial data, medical records, or proprietary business intelligence requires infrastructure you can trust. Our Swiss GPU servers combine Tesla-class accelerators with Switzerland's world-leading privacy laws, giving you the compute power you need without compromising data protection.
Unlike cloud GPU instances that bill by the hour and can become prohibitively expensive for sustained workloads, our dedicated GPU servers offer predictable monthly pricing. Run your inference pipelines, training jobs, or rendering tasks 24/7 at a fixed cost — no usage meters, no surprise bills.
Tesla P4 GPU (GPU PRO V1) — 5.5 TFLOPS FP32, 8GB GDDR5. Optimized for inference workloads, video transcoding, and lightweight ML tasks. An excellent entry point for deploying AI models in production at a fraction of cloud costs.
Tesla T4 GPU (GPU PRO V2) — 8.1 TFLOPS FP32, 65 TFLOPS INT8 with Tensor Cores, 16GB GDDR6. Purpose-built for AI inference at scale, deep learning training, and mixed-precision computing. Ideal for NLP models, image recognition, recommendation engines, and real-time analytics.
Common use cases:
Cloud GPU instances from AWS, GCP, or Azure charge by the hour — often $1-4/hour for comparable GPU compute. Running 24/7, that adds up to $730-$2,920/month per instance.
For sustained GPU workloads, dedicated servers can save 50-70% compared to cloud instances while providing better data sovereignty.