Razer Forge AI Workstations: Custom Xeon W & Threadripper Pro Desktops

Key Takeaways

1. Razer introduced the Forge AI Dev Workstation for AI developers at CES 2026, designed for running large-language models (LLMs) locally.
2. The workstation features powerful specifications, including Intel Xeon W or AMD Threadripper Pro CPUs with up to 96 cores and support for multiple high-end GPUs.
3. Users can connect multiple workstations with dual 10-Gigabit Ethernet ports to create compute clusters and can optionally rack the units for space-saving.
4. Razer offers tailored builds and quotes for the Forge AI Dev Workstation, encouraging users to reach out for more information.
5. Budget-friendly alternatives exist, such as distilled AI LLM models that can run on more affordable laptops like the HP EliteBook Ultra G1q 14.

Razer has introduced the Forge AI Dev Workstation to AI developers during CES 2026. This product offers customers a specially designed desktop capable of running the most extensive artificial intelligence large-language models (LLMs) locally, providing greater security and cost efficiency compared to cloud servers or rented solutions.

Powerful Specifications

The Forge AI Dev Workstations are built with either Intel Xeon W or AMD Threadripper Pro CPUs, boasting up to 96 cores. They can support as many as four Nvidia RTX Pro or AMD Radeon Pro GPUs, alongside eight DDR RDIMMs, four PCIe Gen5 M.2 NVMe SSDs, eight SATA drives, and a robust 2,000W power supply. To ensure proper cooling, there are four 120 mm fans located at the front and back of the system, enabling airflow to all internal components.

Network and Expandability

Users can connect multiple Forge AI Dev Workstations using their dual 10-Gigabit Ethernet ports to form compute clusters. Moreover, these units can be optionally racked to save space in a work environment.

If you’re interested, it’s recommended to reach out to Razer for tailored builds and quotes, as well as more information regarding the specifications of the Forge AI Dev Workstation.

Budget-Friendly Alternatives

For those who may not have the budget for a high-end workstation or at least an Nvidia 5070 GPU, there are alternatives. Distilled AI LLM models (like the one available on Hugging Face) can be utilized on more affordable laptops, such as the HP EliteBook Ultra G1q 14, which is available for purchase on Amazon.

Razer’s

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