- The Olares One mini PC features desktop-class components, including a Core Ultra 9 CPU
- Nvidia GeForce RTX 5090 Mobile delivers high-performance GPU acceleration for AI workloads
- Olare’s OS ensures that AI tasks stay on the device for enhanced privacy, but Win11 incompatibility is sad
The Olares One mini PC is a small form factor device that packs desktop-grade components, including an Intel Core Ultra 9 275HX CPU and 96GB of DDR5 RAM (2x48GB) running at 5600MHz.
This system includes an Nvidia GeForce RTX 5090 Mobile graphics processor with 24GB of GDDR7 VRAM and is targeted at AI computing workloads.
The hardware includes a 2TB NVMe SSD that supports PCIe 4.0, which allows local processing of large datasets and complex machine learning tasks.
System architecture and storage capacity
Although the specs suggest performance comparable to high-end workstations, the device uses Olares OS 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 speeds.
This performance is higher compared to other desktop machines at similar price points.
Performance scaling across concurrent users remains uneven, with output decreasing as more models run at the same time.
For connectivity, the device has Wi-Fi 7, Bluetooth 5.4, a Thunderbolt 5 port and RJ45 Ethernet at 2.5 Gbps.
It also includes USB-A ports and HDMI 2.1, which offer flexible interfaces for external devices 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, copper fin array and custom fans handle thermal management and aim to maintain low noise levels even under full load.
The workstation-like design supports demanding software without audible interruption.
However, these efficiency claims are dependent on laboratory-controlled conditions and may not fully reflect the real world.
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 across 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 over 400 backers and more than $1.2 million pledged, with over 20 days to go, showing early interest in the product.
The $2,899 price tag offers a package that combines workstation-class CPU and GPU performance, significant memory, and a large SSD, more than expected from a device of this size.
Despite its strong specs, the practical implementation 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 project. All crowdfunding campaigns have inherent risks, including the possibility of delays, changes or non-delivery of products. Potential backers should carefully assess the details and proceed at their own discretion.
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