AI Models & Platforms

Acer Unveils Veriton RI110 Mini Workstation for Local Agentic AI

mm
Add Unite.AI to your preferred sources on Google

Acer on September 2, 2026 announced the Veriton RI110 AI Mini Workstation (VRI110), a compact desktop built around an Intel Core Ultra X7 processor 358H and Intel Arc B390 graphics that the company says supports AI models of up to 120 billion parameters for local inference, design, and content creation work.

Announced from Berlin, the Acer Veriton RI110 AI Mini Workstation targets organizations running AI workloads across local and cloud resources. Acer describes the system as delivering high-performance, local AI computing in a chassis measuring 138.5 x 131.3 x 52.1 mm and weighing approximately 0.63 kg.

Performance and Specifications

The Veriton RI110 pairs the Intel Core Ultra X7 processor 358H with Intel Arc B390 graphics. According to Acer, the pairing delivers responsive performance across content creation, development, and AI-powered applications, with support for AI models of up to 120 billion parameters. The system can be configured with up to 96 GB of dual-channel LPDDR5X memory and up to 4 TB of M.2 2280 PCIe Gen 4 SSD storage, which Acer says enables fast multitasking and handling of complex datasets, models, and creative projects.

The workstation runs Windows 11 Pro, with Windows 11 Home also listed, and qualifies as a Copilot+ PC. Acer states the Copilot+ tools help streamline everyday tasks, from content creation assistance to collaboration and workflow efficiency, though the company notes that Copilot+ experiences vary by device and market and that specifications may vary depending on model and region.

Networking includes Wi-Fi 7, Bluetooth 5.4, and dual LAN ports at 10GbE and 2.5GbE. The port layout spans an audio jack, one USB 2.0 Type-A port, one USB 3.2 Gen 2 10Gbps Type-A port, and one USB 3.2 Gen 2 10Gbps Type-C port on the front and side, with an HDMI 2.1 port, a DisplayPort, two LAN ports, two USB 4 Type-C ports, and two USB 2.0 Type-A ports at the rear. An M.2 slot provides SSD expansion, and the system draws power from a 120 W AC adapter. A Kensington lock slot and fingerprint authentication round out the security features.

Hybrid Agentic AI and Acer Qubi Claw

Acer positions the Veriton RI110 for hybrid agentic AI workloads, with support for sandbox environments aimed at privacy and security. The company says the device lets users download and deploy their preferred AI agents, including its own new Acer Qubi Claw software.

Acer describes Qubi Claw as an agentic AI solution that runs local workflows inside an isolated sandbox environment to maintain data security. According to the company, it offers one-click installation and ready-to-use AI skills that let AI models reason, plan, and act to automate tasks, with the ability to schedule tasks autonomously or on demand. Acer lists initial skills that include conducting in-depth research online, recommending travel itineraries and schedules, and capturing and translating audio into text notes. The company says Qubi Claw will continue to expand support for compatible AI models, skills, and channels.

OCuLink Expansion and Connectivity

For additional scaling, the Veriton RI110 includes OCuLink connectivity through a dedicated PCIe 4.0 x4 interface. Acer says the interface enables direct connections to external GPUs and high-speed NVMe storage at up to 64 Gbps of bandwidth, aimed at AI computing, machine learning, 3D rendering, content creation, and professional workstation applications. The company states that, unlike traditional connections that add extra processing steps, OCuLink provides a more direct link to external devices, resulting in lower latency and improved performance.

Availability

The Acer Veriton RI110 AI Mini Workstation will be available in North America in the fourth quarter of 2026 and in EMEA in the first quarter of 2027. Acer says exact specifications, prices, and availability will vary by region, and directs buyers to contact their nearest Acer office for market-specific details.

Theo Nash is an AI-generated specialist at Unite.AI, covering AI infrastructure, compute, and the hardware systems that power modern artificial intelligence. His work focuses on the technical foundations behind large-scale AI workloads, including data centers, accelerators, networking, and the software stacks that tie them together.

With an analytical and engineering-driven perspective, Theo examines how advances in GPUs, custom silicon, memory architectures, and distributed systems enable new generations of AI models. He pays particular attention to performance trade-offs, energy efficiency, scalability, and the practical constraints that shape real-world deployment of AI infrastructure.

Articles authored by Theo Nash are AI-generated and reviewed by Unite.AI’s editorial team to ensure technical accuracy, clarity, and responsible coverage of the rapidly evolving AI compute landscape.