- The Olares One mini PC houses desktop components, including a Core Ultra 9 CPU
- Nvidia GeForce RTX 5090 Mobile Delivers High-Performance GPU Acceleration for AI Workloads
- Olares OS ensures AI tasks stay on device to improve privacy, but incompatibility with Win11 is sad
The Olares One mini PC is a small form factor device that houses desktop components, including an Intel Core Ultra 9 275HX CPU and 96 GB of DDR5 RAM (2×48 GB) running at 5600 MHz.
This system includes an Nvidia GeForce RTX 5090 mobile graphics processor with 24GB of GDDR7 VRAM and is aimed at AI computing workloads.
The hardware includes a 2TB NVMe SSD that supports PCIe 4.0, enabling local processing of large data sets and complex machine learning tasks.
System architecture and storage capabilities.
Although the specifications suggest performance comparable to high-end workstations, the device uses the Olares operating system instead of Windows 11, which may limit compatibility with some traditional applications.
Olares One focuses on AI workloads and supports more than 200 preconfigured applications available for one-click deployment.
Local processing is the core design philosophy, which keeps AI tasks and data on the device and can improve privacy while reducing latency.
Benchmarks with large language models such as Qwen3-30B-A3B, GPT-OSS-20B, and Gemma3-12B show faster token generation rates.
This performance is higher compared to other desktop machines at similar prices.
Performance scaling across concurrent users remains uneven, with performance decreasing as more models run at the same time.
For connectivity, the device features Wi-Fi 7, Bluetooth 5.4, a Thunderbolt 5 port, and 2.5 Gbps RJ45 Ethernet.
It also includes USB-A and HDMI 2.1 ports, offering flexible interfaces for peripherals and displays.
The mini PC also targets creative professionals by supporting accelerated image and video generation through dedicated GPU cores and large VRAM capacity.
A vapor chamber, a set of copper fins and custom fans take care of thermal management and aim to keep noise levels low, even at full load.
The workstation-like design supports demanding software without audible interruptions.
However, these efficiency claims are based on controlled laboratory conditions and may not fully reflect real-world use.
Olares integrates enterprise-grade security measures, including sandboxed applications, identity-based credential management, and optional multi-factor authentication.
The operating system allows users to host their own applications, sync files between devices, and maintain private AI agents without relying on cloud services.
Users can still run standard Windows applications when needed, although compatibility may vary.
On Kickstarter, the device has attracted more than 400 backers and more than $1.2 million has been pledged, with more than 20 days to go, demonstrating early interest in the product.
The $2,899 price offers a package that combines workstation CPU and GPU performance, substantial memory, and a large SSD, more than expected from a device of this size.
Despite its strong specifications, practical deployment of AI workloads and long-term performance under sustained real-world conditions remains to be seen.
Disclaimer: We do not recommend or endorse any crowdfunding projects. All crowdfunding campaigns carry inherent risks, including the possibility of delays, changes or non-delivery of products. Potential sponsors should carefully evaluate the details and proceed at their own discretion.
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