Olares One: The Ultimate Portable AI Workstation for Privacy-Conscious Developers

December 22, 2025
Olares One: The Ultimate Portable AI Workstation for Privacy-Conscious Developers
  • Hardware highlights include Intel Core Ultra 9 275HX with 24 cores up to 5.4 GHz, NVIDIA GeForce RTX 5090 Mobile with 24 GB, 96 GB DDR5 RAM, and a 2 TB NVMe SSD in a compact chassis.

  • The platform combines top-tier CPU, GPU, and fast memory (GDDR7) to support demanding AI tasks like text generation, image processing, and video rendering.

  • Additional specs include 1824 AI TOPS, 175 W TGP, PCIe 4.0 NVMe, and a compact form factor (roughly 320 x 197 x 55 mm, about 2.15 kg).

  • Automatic AI model management, an app marketplace, and compatibility with models like Olama and GPT OSS are supported, though very large models may require CPU offloading.

  • The system supports a broad local AI toolchain, including chat agents, retrieval-augmented generation, document/media management, observability, and a no-CLI Kubernetes interface for power users.

  • Beyond AI, it can function as a home server and supports gaming and Windows workloads, with GPU sharing modes to allocate resources efficiently.

  • Open source and privacy-first design underpin the product, with Olares OS available on GitHub to customize the platform and prioritize on-device processing.

  • The Olares One is a portable, high-performance local AI workstation designed for developers, tech enthusiasts, and professionals who want privacy-first data handling and the flexibility to work from anywhere, serving as a versatile home server and workstation.

  • Pricing notes place a pre-order price at $2,899, with an argument that ownership is cost-efficient for five-person teams compared with yearly AI subscriptions totaling about €32,280, underscoring the freedom from ongoing fees.

  • Cooling and acoustics are optimized with a 2.8 mm vapor chamber, a 176-layer copper heatsink, two 54-blade fans, yielding idle noise around 19 dB and under load about 38.8 dB while keeping temperatures near 43.8°C.

  • The device’s performance is benchmarked against Mac Studio and Nvidia DJX Spark to help users set realistic expectations for capabilities.

  • Software is comprehensive and open-source, featuring Kubernetes orchestration, a user dashboard, and robust security with multi-factor authentication, VPN, and secure remote access via a personal URL.

Summary based on 3 sources


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