Walmart updates Onn 4K Pro with Gemini, Matter

Walmart is already stocking the unreleased Onn 4K Pro (2026) at select stores for $59.88, delivering a budget Google TV streamer upgraded with first-party AI and smart-home features. The unit ships with Google TV and Gemini preinstalled, offers a voice-locatable remote, and adds Matter over Thread compatibility to control other smart devices. Hardware highlights include 3GB RAM, 32GB storage, a quad-core CPU built on Cortex-A55 cores and an ARM G310 V2 GPU, Wi-Fi 6, and a 100Mbps Ethernet port. Video and audio formats supported include Dolby Vision and Dolby Atmos.

The board-level configuration visible on boxes and teardown images indicates a conservative SoC choice centered on efficiency rather than raw compute. Key platform details are:

• •Cortex-A55 quad-core CPU and ARM G310 V2 GPU
• •3GB RAM and 32GB onboard storage
• •Wi-Fi 6, 100Mbps Ethernet, and a physical mic toggle for privacy
• •USB 2.0 port (a step down from previous USB 3.0 ports on earlier models)

The device runs Google TV with Gemini integrated for hands-free queries, contextual search, and AI-assisted recommendations. Matter over Thread support positions the box as a low-cost smart-home hub, enabling direct control and local networking with compatible devices. The remote gains a voice-activated locate function that uses the TV streamer as a companion anchor.

Integrating Gemini into an inexpensive set-top box demonstrates how large-language-model capabilities are migrating into mainstream consumer devices. For practitioners, this is notable for three reasons: first, it expands the deployment surface for assistant-style LLM features beyond phones and smart speakers; second, it tightens the coupling between content discovery and conversational AI in living-room UX flows; third, it signals vendor priorities around cost-optimized hardware running cloud-augmented AI stacks. The inclusion of Matter over Thread aligns with the industry push to consolidate smart-home control into fewer, trusted endpoints, while the mic toggle addresses basic privacy concerns customers increasingly expect.

The hardware choices emphasize price sensitivity. The ARM G310 V2 plus 3GB RAM will be adequate for UI responsiveness and media decoding, but any on-device LLM inference would be limited; expect most Gemini interactions to rely on cloud processing or small on-device models for wake-word and local heuristics. The downgrade to USB 2.0 is meaningful for power users who rely on external storage or peripherals. From a systems perspective, the combination of Wi-Fi 6 and Thread support is useful for low-latency home control, but the 100Mbps Ethernet cap suggests vendor cost balancing.

Confirm whether Gemini features are cloud-first or include any on-device fallbacks, how firmware updates expose developer hooks or logging, and whether Walmart expands availability and pricing. Monitor privacy policy details for voice data, the OTA update cadence for Gemini feature parity, and whether other low-cost streamers follow with integrated LLM assistants and Matter hub functionality.