Swiss...

Swiss GPU Servers for AI & Machine Learning

Tesla GPU-powered dedicated servers in Switzerland for AI inference, machine learning training, video rendering, and high-performance computing. Combine raw GPU compute power with Swiss data sovereignty — ideal for organizations processing sensitive data under strict privacy requirements.

Standard Server
linux
GPU PRO Server V1
$290.00 /month
Configure
  • CPU
    DUAL Intel E5-2680V4
  • RAM
    64GB DDR4
  • STORAGE
    1TB SSD
  • BANDWIDTH
    100TB
  • PORT SPEED
    1Gbps
  • IP ADDRESSES
    1 IP
Medium
windows
GPU PRO Server V2
$1050.00 /month
Configure
  • CPU
    Dual Intel E5-2680V4
  • RAM
    64GB DDR3
  • STORAGE
    1TB SSD
  • BANDWIDTH
    UNMETERED
  • PORT SPEED
    10Gbps
  • IP ADDRESSES
    1 IP

Why Swiss GPU Servers for AI?

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.

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GPU Specifications & Use Cases

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:

  • AI model inference and serving (LLMs, computer vision, NLP)
  • Machine learning training on sensitive or regulated data
  • Video transcoding and rendering pipelines
  • Scientific computing and data analysis
  • Game streaming and cloud gaming backends

Cost Comparison: Dedicated vs. Cloud GPU

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.

  • GPU PRO V1 (Tesla P4) — $290/mo vs. ~$730/mo+ for equivalent cloud instances
  • GPU PRO V2 (Tesla T4) — $1,050/mo vs. ~$1,460-$2,920/mo+ for equivalent cloud instances
  • No egress fees — cloud providers charge per GB of data leaving their network
  • Full root access — install any framework, driver, or CUDA version you need
  • Swiss jurisdiction — your training data stays under Swiss law, not US CLOUD Act

For sustained GPU workloads, dedicated servers can save 50-70% compared to cloud instances while providing better data sovereignty.

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