Jess Weatherbed is a news writer focused on creative industries, computing, and internet culture. Jess started her career at TechRadar, covering news and hardware reviews.
Razer is the latest PC gaming company to pivot to chase that sweet, sweet AI money, but it isn’t just slapping an AI label onto its existing products. Well, it is doing that a little bit — Razer is now categorizing its powerful Blade 18 laptop and Core X V2 eGPU enclosure as “AI dev hardware” — but it’s also launching a new workstation that’s specifically designed to handle AI training, inference, and simulation workloads.
The Razer…
Jess Weatherbed is a news writer focused on creative industries, computing, and internet culture. Jess started her career at TechRadar, covering news and hardware reviews.
Razer is the latest PC gaming company to pivot to chase that sweet, sweet AI money, but it isn’t just slapping an AI label onto its existing products. Well, it is doing that a little bit — Razer is now categorizing its powerful Blade 18 laptop and Core X V2 eGPU enclosure as “AI dev hardware” — but it’s also launching a new workstation that’s specifically designed to handle AI training, inference, and simulation workloads.
The Razer Forge AI dev workstation features a rack-ready design that makes it easier to configure a single tower into dense cluster configurations. It supports up to four AMD or Nvidia graphics cards, has eight DDR5 slots, and is powered by AMD’s Ryzen Threadripper Pro processor. The Razer Forge supports up to 2,000W power supply and includes dual 10GB Ethernet ports for speedy data transfers.
Razer hasn’t shared pricing or availability, as this will be a bespoke product that requires users to contact Razer’s sales team. This latest launch from Razer follows Nvidia’s announcement of its own Digits personal AI supercomputer at CES last year, and more companies will likely follow suit.
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- Jess Weatherbed
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