AI Workstation — Multi-GPU Deep Learning Desktop
Purpose-built for AI training, local LLM inference, and GPU-accelerated computing. Up to 2× NVIDIA RTX 5090 or 4x RTX PRO 6000 Blackwell GPUs, AMD Threadripper PRO 9000WX up to 96 cores, and custom liquid cooling — all in a near-silent desktop.
Features
Ready for AI Out of the Box
Power on and start training in minutes — not days. Every BIZON X5500 ships preconfigured with NVIDIA-optimized AI and deep learning frameworks: PyTorch, TensorFlow, vLLM, Hugging Face Transformers, Docker, CUDA, and cuDNN. No driver debugging, no dependency conflicts. Plug in, power on, train.
Custom Liquid-Cooled, Near-Silent
A full custom-loop liquid cooling system covers the CPU and every GPU — not a cheap single-fan AIO. Temperatures stay 30–40 °C lower than air-cooled alternatives, keeping noise up to 20% below comparable workstations. Quiet enough for any office, lab, or home studio.
Data-Center Power at Your Desk
Multi-GPU AI compute that fits under your desk, not in a server room. The BIZON X5500 delivers the same class of performance found in data-center GPU clusters — in a compact, liquid-cooled desktop chassis designed for your office.
Skip the Build. Start the Research.
Building and configuring a multi-GPU workstation from scratch costs weeks. BIZON ships fully assembled, stress-tested, and optimized — with lifetime expert support from our in-house AI engineers. Focus on your research, not your hardware.
Latest-Generation Hardware Inside
Up to 2× NVIDIA RTX 5090 (32 GB VRAM each) or 4x RTX PRO 6000 Blackwell (96 GB VRAM each). AMD Threadripper PRO 9000WX processors up to 96 cores. DDR5 ECC memory up to 512 GB. PCIe 5.0 NVMe storage. Every component selected for maximum AI throughput.
Own Your GPU — Stop Renting the Cloud
A 4-GPU cloud instance (AWS, CoreWeave) at 8 hours/day, 5 days/week costs more than a BIZON X5500 within 4–6 months. After break-even, every hour of compute is free. Full data privacy, no per-token API fees, no queue, no egress costs, and up to 2× better real-world throughput on local hardware.
Run Large Language Models Locally
The BIZON X5500 is built for local LLM deployment. Run Llama, Gemma, Mistral, DeepSeek, Qwen, and other open-weight models on your own hardware — zero API costs, complete data privacy, no rate limits.
With up to 4× RTX PRO 6000 Blackwell GPUs (384 GB total VRAM), run 70B–405B parameter models without quantization. With 2× RTX 5090 (64 GB total VRAM), 70B models run comfortably at Q4/Q8 quantization with room for KV cache. Fine-tune with LoRA, QLoRA, or full-parameter training using PyTorch, Unsloth, or Hugging Face TRL — all preinstalled.
No cloud queue. No per-token billing. Your data never leaves your building.
Built for Every GPU Workload
Deep learning & AI training — TensorFlow, PyTorch, JAX, Keras
Local LLM inference & fine-tuning — vLLM, Ollama, llama.cpp, Hugging Face
Computer vision — YOLO, Detectron2, OpenCV with CUDA acceleration
Scientific computing & HPC — molecular dynamics, CFD, GROMACS, NAMD
3D rendering & simulation — Blender, V-Ray, Unreal Engine 5, Unity 6
Data science — RAPIDS, cuDF, Pandas on GPU, Jupyter
Digital forensics — Passware, Hashcat GPU-accelerated password recovery
Video production — DaVinci Resolve, Adobe Premiere, NVIDIA Broadcast
