Razer Targets AI Developers with New Forge Workstation

Razer, long known for its gaming laptops and peripherals, is making a bold leap into AI development. With the launch of its Forge AI workstation, the company is offering a machine built from the ground up for AI training, inference, and simulations. For developers asking, “Which PC can handle multiple GPUs for AI work?” Razer now has an answer. The Forge promises high performance, flexibility, and cluster-ready configurations that could appeal to serious AI researchers and creators.

High-Power Hardware for Demanding AI Tasks

The Razer Forge workstation is designed to support up to four professional AMD or Nvidia GPUs, making it a powerhouse for training complex models. Eight DDR5 memory slots provide the bandwidth needed for large datasets, while the AMD Ryzen Threadripper Pro processor powers heavy computations with ease. For fast networking, dual 10GB Ethernet ports ensure data moves without bottlenecks, and the system can accommodate a massive 2,000W power supply to support demanding workloads.

Modular Design for Cluster Setups

One standout feature of the Forge AI workstation is its rack-ready design. Users can easily configure a single tower into dense cluster setups, enabling scalable AI infrastructure without needing multiple separate machines. This modular approach positions Razer’s workstation as not just a high-performance PC, but a flexible solution for labs, studios, or companies looking to expand AI capacity quickly.

Razer Expands AI-Focused Gear Beyond Workstations

Razer isn’t stopping with the Forge. The company has also begun marketing its existing hardware, like the Blade 18 laptop and Core X V2 external GPU enclosure, as AI development tools. While these aren’t entirely new machines, labeling them for AI tasks highlights Razer’s strategy to bridge its gaming expertise with the growing AI market.

Pricing and Availability Remain Bespoke

Razer has not disclosed pricing or launch dates for the Forge AI workstation. Interested buyers must contact Razer’s sales team directly, reflecting the product’s custom, enterprise-focused nature. This move aligns Razer with other tech companies like Nvidia, which recently unveiled the Digits personal AI supercomputer at CES. The trend suggests a growing race to provide accessible, high-powered AI computing.

Razer Joins the AI Hardware Race

By entering the AI workstation market, Razer joins a competitive field of companies targeting developers and researchers. As AI adoption accelerates, demand for specialized hardware capable of running complex models is skyrocketing. With its gaming pedigree and high-performance engineering, Razer could carve out a unique space among AI professionals seeking both power and reliability.