BIZON AI & Training/Inference Workstations

All BIZON NVIDIA AI workstations ship pre-installed with Ubuntu, NVIDIA drivers, CUDA, Docker, and popular inference frameworks (vLLM, Ollama), Tensorflow, Torch/PyTorch, Keras, Caffe 2.0 Caffe-nv, RAPIDS, Anaconda, MXnet, Theano. Our BIZON Z-Stack Tool has a user-friendly interface for easy framework installations and upgrades. If a new version of any framework is released, you can upgrade with a click of a button, avoiding complicated command lines.

All tested and tuned to work together immediately with no additional setup.

BIZON GPU workstations are optimized for local LLM inference and training — no cloud, no API costs, full data privacy. Run Kimi K, DeepSeek , Qwen, Llama, Gemma, Mistral Large, GLM-5, Phi-4, MiniMax, NVIDIA Nemotron, MiMo , and other open-source models out of the box with pre-installed vLLM, Ollama.

From 7B models on a single GPU to 1T-parameter models on 8× NVIDIA RTX PRO 6000 Blackwell — plug in and start inference.

• Efficient Resource Management

  BIZON AI optimized workstations come preinstalled with SLURM workload manager (multi-node). This ensures efficient allocation of your GPUs, minimizing downtime and maximizing productivity.

• Scalable Cluster Management

  BIZON’s SLURM-equipped workstations offer scalable cluster management, allowing clients to easily expand GPU nodes as their research grows. This ensures consistent performance and adaptability, whether for small labs or large research facilities.

• Why Choose Our GPU Workstations?

  By integrating SLURM, our workstations offer advanced resource management, scalability, and intelligent job scheduling with dedicated GPU support. This combination delivers an efficient, scalable infrastructure for groundbreaking AI/ML research.