April 2026 – MINIX, a pioneer in compact high-performance computing, today officially announces the MINIX T4000 and T5000 Generative AI Mini Workstation—powerful, space-saving solutions built for professional generative AI, local large language model (LLM) inference, content creation, on-premise enterprise deployment, and lightweight model training.
Powered by the NVIDIA® Jetson AGX Thor series modules (T4000 / T5000) with the flagship Blackwell architecture, the T4000 / T5000 delivers exceptional on-device AI horsepower in a small desktop footprint. Engineered for professionals, developers, creators, and IT teams, this mini workstation redefines edge and on-premise AI without bulky server hardware.

Next-Gen NVIDIA Blackwell Architecture
At the core of the T4000 / T5000 lies NVIDIA’s cutting-edge compute platform:
• T4000: 1200 Sparse FP4 TFLOPs AI performance
• T5000: Up to 2070 Sparse FP4 TFLOPs AI performance
• 1536–2560 core Blackwell GPU with fifth-generation Tensor Cores
• Multi-Instance GPU (MIG) for parallel task efficiency
• NVIDIA PVA 3.0 dedicated vision processing engine

The workstation natively supports smooth local inference for 7B–70B parameter large language models, making private, low-latency AI accessible for businesses and creators.
Powerful CPU & High-Bandwidth Memory
To eliminate bottlenecks in large model operations, the T4000 / T5000 features high-core-count Arm processing and large, fast memory:
• 12‑core (T4000) or 14‑core (T5000) Arm® Neoverse®‑V3AE 64‑bit CPU
• Up to 128 GB high-bandwidth LPDDR5X (4266 MHz, 273 GB/s)
• Massive memory headroom for LLMs, multi-modal AI, and concurrent workloads
High-Speed Connectivity & Rich I/O
Designed for professional workflows, the mini workstation includes enterprise-grade networking and flexible expansion:
• Dual 10GbE Ethernet for ultra-fast data transfer
• Wi‑Fi 6E + Bluetooth 5.3 for stable wireless connectivity
• 2× HDMI 2.1 TMDS (4K@60 Hz) for dual high-resolution displays
• 4× USB 3.2 Gen 1 Type‑A + 1× USB 3.2 Gen 2 Type‑C
• 24V DC input, up to 200W max power
Massive Storage & Compact Design
The T4000 / T5000 balances performance, storage, and space efficiency:
• 1 TB / 2 TB PCIe 4.0 NVMe M.2 SSD (expandable up to 4 TB)
• Compact dimensions: 139.3 × 131 × 76.8 mm
• Lightweight: 1420 g
• Durable metal + plastic chassis
• Twin turbo intercooler for sustained high-load performance
• No rack required — plug‑and‑play desktop deployment

On-Premise AI & Full NVIDIA Software Ecosystem
Security, privacy, and compatibility are central to the T4000 / T5000 design:
•Local private deployment: All data and models processed on‑device, no cloud upload needed
• Pre-installed Ubuntu 24.04 LTS (NVIDIA JetPack 7.1)
• Full support for CUDA, TensorRT, NIM, and containerized AI workflows
• Industrial‑grade reliability: 255-level programmable watchdog, ESD immunity Grade 4, and wide environmental tolerance
Ideal Use Cases

The MINIX T4000 / T5000 is built for professional generative AI workflows:
• Local LLM Inference: Private, low-latency AI chat, reasoning, and document processing
• Generative AI Creation: AI image, video, 3D, and digital content production
• On-Premise AI Computing: Enterprise private AI hub, secure team AI services
• Lightweight Model Training: LoRA fine-tuning, model distillation, and dataset processing
About MINIX
MINIX is a leading brand of compact, high-performance computing solutions, focusing on mini PCs, workstations, and AI computing devices for consumer, professional, and industrial applications. With a commitment to innovation, reliability, and user experience, MINIX continues to deliver next-generation computing for global users.
Connect With MINIX
Learn more: www.minix.com.hk
Sales Inquiries: sales@minix.com.hk
PR & Media Inquiries: marketing@minix.com.hk































![H1 HDMI to HDMI Wireless Display Dongle [UK]](http://www.minix.com.hk/cdn/shop/files/H1_main.jpg?v=1763373885&width=1600)





Leave a comment
All comments are moderated before being published.
This site is protected by hCaptcha and the hCaptcha Privacy Policy and Terms of Service apply.