GPU Servers

Infrastructure optimized for AI/ML, inference and professional rendering.

NVIDIA RTX PRO 4000

  • 24 GB GDDR7 for inference on small and mid-size models.
  • Models up to roughly 14 billion parameters.
  • Light fine-tuning (LoRA/QLoRA) on small models.
  • Suited to AI assistants, classification and embeddings.
  • Entry tier for prototypes and production.

NVIDIA RTX PRO 6000

  • 96 GB GDDR7 for large models (around 70 billion parameters).
  • Fine-tuning of large models.
  • Inference for many concurrent users.
  • Professional GPU for advanced rendering.
  • Also suited to visualization and creative workloads.

AI/ML Ready

  • Stack ready with CUDA and common frameworks.
  • Fast start without complex setup.
  • Compatible with modern ML flows.
  • Consistent environment for teams.
  • Shorter path from idea to production.

GDDR7

  • High memory bandwidth for large models.
  • Fast memory-to-GPU transfers.
  • Advantage on large-batch inference.
  • Better performance on dense workloads.
  • Scalability for serious AI projects.