Framework Will Open Pre-orders for 192 GB Desktop
The modular computer maker will launch its high-capacity system on September 30.
Updated on Sept. 28, 2026 in Computers
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Framework is set to open pre-orders for its new desktop PC featuring 192 GB of unified memory on September 30, 2026. The high-performance machine is powered by the AMD Ryzen AI Max+ Pro 495 CPU.
Why it matters
This release significantly expands memory capacity for desktop users, allowing for intensive AI and computational tasks previously restricted by hardware limits. The system targets power users by offering substantial unified memory that can be heavily allocated to graphics workloads.
The system utilizes an AMD Ryzen AI Max+ Pro 495 CPU with 16 cores, 32 threads, and a 5.2 GHz boost clock. It features 131 TOPS of total AI compute, 273 GB/s memory bandwidth, and 40 RDNA 3.5 Compute Units.
The players
Framework
This company is a modular computer manufacturer known for producing laptops and desktops that allow users to repair and upgrade individual components.
AMD
This is a multinational semiconductor company that develops computer processors and graphics technologies for various computing platforms.
Noctua
This is an Austrian computer hardware manufacturer that specializes in high-quality cooling fans and heat sinks for PC systems.
The details
The desktop features an open-ended PCIe x4 slot and ships with a pre-installed Noctua fan for cooling. Users can allocate 160 GB of the unified memory specifically to the GPU for advanced graphical processing.
Timeline
The new Framework Desktop was first previewed in July 2026.
Pre-orders for the 192 GB desktop will open on September 30, 2026.
The Tech Race
This release signals a transition toward high-memory unified architectures in the consumer desktop space, challenging traditional workstations. It positions Framework against professional-grade hardware by integrating advanced AI-capable processing directly into a modular desktop form factor.
Power users and developers can leverage the massive 160 GB GPU memory allocation for running local large language models and intensive creative software. However, the anticipated high price point may limit the system to specialized professional or enthusiast workflows.
The takeaway
This expansion of unified memory capacity highlights a growing demand for local AI processing power in desktop environments. Prospective buyers should evaluate their specific computational needs, as the hardware is tailored for heavy resource-intensive tasks rather than standard consumer use.
Further reading
For more information on the evolving landscape of desktop hardware, visit the Computers section.
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