- Razer introduces local AI hardware that focuses on developers and premise work
- Tenstorrent accelerator adds portable AI computing via Thunderbolt connected devices
- AI Device supports daisy-chained devices for local multi-accelerator workloads
Razer has unveiled an expansion beyond gaming hardware with an external AI accelerator and a new workstation platform aimed at developers working locally on high-end 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-premise solution is for developers who want 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, allowing large pooled VRAM configurations for multi GPU workloads.
Processor options include AMD Ryzen Threadripper PRO and Intel Xeon W chips, paired with support for eight DDR5 RDIMM slots for large memory capacity.
Networking is handled through dual 10Gb Ethernet ports, while storage includes up to four PCIe Gen5 M.2 NVMe drives and eight SATA bays.
Cooling is designed for sustained loads with multiple high-pressure fans designed to maintain airflow through tight internal components.
The workstation can function as a standalone tower or transition into rack environments, allowing it to scale from individual desks to clustered installations.
Alongside 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 over 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 for running LLMs, image generation models and other AI workloads.
Multiple units can be linked together with up to four units forming a small local cluster for larger models.
“A device that anyone can plug into their laptop unlocks the next generation of developers who build on our open platform,” said Christine Blizzard, Chief Experience Officer at Tenstorrent. “Our goal is to make artificial intelligence more accessible, and we trust Razer to deliver products that developers love.”
“AI developers on the edge demand power, flexibility and mobility – and this collaboration delivers all three,” said Travis Furst, Head of Notebook and Accessories at Razer. “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 advance AI development as part of Razer’s broader vision for AI – to bring portable, uncompromising computing to developers.”
Pricing and availability for the external AI accelerator has not yet been announced.
TechRadar will extensively cover this year’s CESand will bring you all the big announcements as they happen. Head over to ours CES 2026 news page for the latest stories and our hands-on verdicts on everything from wireless TVs and foldable screens to new phones, laptops, smart home gadgets and the latest in artificial intelligence. You can also ask us a question about the show in our CES 2026 live Q&A and we will do our best to answer it.
And don’t forget it follow us on TikTok and WhatsApp for the latest from the CES show floor!
