UMVA has learned that the long‑awaited Steam Deck has finally resurfaced, but it arrives with a staggering price tag that dwarfs its original launch.
The 512 GB OLED version now commands $789 USD, while the 1 TB upgrade climbs to $949. The once‑affordable LCD model, which debuted around $400, has vanished from the market entirely.
Across the globe, the price surge is even more brutal: the 512 GB OLED retails for $1,129 in Canada, £649 in the UK, €779 in Europe, $1,199 in Australia, and 3,279 PLN in Poland. The 1 TB variant pushes higher, hitting $1,349 CAD, €919, £779, $1,429 in the U.S., and 3,879 PLN.
Under the hood, the device still relies on the six‑year‑old Zen 2 AMD integrated graphics—a hardware generation that struggles to justify a near‑$1,000 price for the performance it delivers.
According to information obtained by UMVA, Valve’s official statement bluntly attributes the hike to soaring memory and storage costs, echoing similar price jumps seen in other portable gaming hardware like the Lenovo Legion Go series.
The root of the crisis lies in chip manufacturers diverting the bulk of their capacity to high‑margin AI data centers, leaving RAM and SSD supplies scarce and expensive for consumer devices.
This squeeze has turned the once‑reasonable dream of a sub‑$1,000 desktop capable of running the latest AAA titles into an almost impossible goal, with pre‑built systems sometimes offering better value than DIY builds.
Even Valve’s broader hardware ambitions—such as the Steam Machine console and the Steam Frame VR headset—are now delayed into late 2026, and analysts predict their price points will likely breach the $1,000 barrier as well.
There are faint glimmers of relief: memory producers that previously served only the Chinese market are beginning to export, and a few Corsair RAM kits now feature chips from CXMT, though availability remains limited.
The ultimate hope for affordable memory and storage hinges on the AI hype cooling off; early signs appear as community opposition to new data‑center projects grows, but the entrenched demand for AI resources makes any rapid correction uncertain.
