- Razer introduces local AI hardware focused on developers and local work
- Tenstorrent accelerator adds wearable AI computing via Thunderbolt-connected devices
- AI appliance supports chained units for local multi-accelerator workloads
Razer has revealed an expansion beyond gaming hardware with an external AI accelerator and a new workstation platform aimed at developers working locally on advanced models.
Launched at CES 2026, the Razer Forge AI Dev Workstation is a high-performance system designed for training, inference, and simulation workloads without relying on cloud services.
The on-premises solution is for developers who want to have direct control over datasets, models, and experiments while avoiding subscription fees.
Tenstorrent External AI Accelerator
The Razer Forge AI Dev Workstation supports up to four professional graphics cards from Nvidia or AMD, enabling large pooled VRAM configurations for multi-GPU workloads.
Processor options include AMD Ryzen Threadripper PRO and Intel Xeon W chips, combined with support for eight DDR5 RDIMM slots for high memory capacity.
Networking is via two 10Gb Ethernet ports, while storage includes up to four PCIe Gen5 M.2 NVMe drives and eight SATA bays.
The cooling is designed for sustained loads, with multiple high-pressure fans intended to maintain airflow through dense internal components.
The workstation can operate as a stand-alone tower or move to rack environments, allowing you to scale from individual desktops to clustered deployments.
In addition to the workstation, Razer has been working with Tenstorrent on a compact external AI accelerator aimed at portable development workflows. Tenstorrent is led by Jim Keller, best known for his work on AMD’s Zen CPU architecture and early self-driving silicon at Tesla.
The accelerator connects via Thunderbolt 4 or Thunderbolt 5 and is designed to add local AI computing to laptops and other compatible systems.
It is based on Tenstorrent’s Wormhole architecture and supports the company’s open source software stack to run LLM, imaging models, and other AI workloads.
Multiple units can be connected together, forming up to four devices a small local group for larger models.
“A device that anyone can plug into their laptop opens the door to the next generation of developers building on our open platform,” said Christine Blizzard, chief experience officer at Tenstorrent. “Our goal is to make AI more accessible, and we trust Razer to deliver products that developers love.”
“AI developers at the edge demand power, flexibility and mobility, and this collaboration delivers all three,” said Travis Furst, head of Razer’s laptops and accessories division. “Our partnership with Tenstorrent combines their cutting-edge AI acceleration technology with Razer’s expertise in high-performance engineering and external case design. Together, we are advancing the development of cutting-edge AI as part of Razer’s broader vision for AI: bringing uncompromising, portable computing to developers.”
Pricing and availability of the external AI accelerator have not yet been announced.
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