Asus launches first GB10 Superchip desktop at $4.1K while Dell’s remains unavailable

Asus has launched the Ascent GX10, becoming the first company to bring Nvidia’s GB10 Superchip to market in a compact AI desktop form factor, beating Dell’s similar but unavailable Pro Max GB10 to retail availability. The $4,100 system delivers up to one petaflop of computing power in a package small enough for individual workstations, bringing data center-level AI capabilities to researchers and developers who previously needed access to large server clusters.

What you should know: The Ascent GX10 is currently available for immediate purchase while competing systems remain in pre-order status.

• Asus’s system can be ordered now from Viperatech for $4,100 and ships within ten days.
• Dell’s comparable Pro Max GB10 AI workstation is listed as “notify me when available” with no shipping timeline.
• Both systems target researchers and developers who need powerful AI processing capabilities in a desktop format.

Key technical specifications: The GB10 Superchip merges CPU and GPU resources into a single unit with impressive performance metrics.

• Delivers up to one petaflop of FP4 computing performance with 128GB of LPDDR5x unified memory.
• Features an ARM v9.2-A CPU paired with Nvidia’s integrated Blackwell GPU architecture.
• Supports AI models with up to 200 billion parameters, a scale previously limited to large server clusters.
• Storage options range from 1TB PCIe 4.0 NVMe SSDs up to 4TB PCIe 5.0 drives.

In plain English: A petaflop represents one quadrillion calculations per second—enough computing power to run AI models that can process and understand massive amounts of information, similar to what tech giants like Google and Microsoft use in their data centers.

Compact but mighty design: Despite its small footprint, the GX10 includes advanced features for professional AI workloads.

• Measures only 150mm square and 51mm tall, weighing just 1.48kg.
• Includes advanced thermal management to maintain performance under heavy computational loads.
• Connectivity includes Wi-Fi 7, Bluetooth 5, 10G Ethernet, and multiple USB 3.2 Gen 2×2 Type-C ports.
• One USB-C port supports 180W power delivery, with HDMI 2.1 for external displays.

Expansion capabilities: The system supports scaling for larger AI projects through Nvidia’s networking technologies.

• Dual-system stacking is possible through Nvidia’s ConnectX-7 networking and NVLink-C2C interface.
• This allows for local compute expansion when single-system performance isn’t sufficient.
• The connectivity options enable researchers to build more powerful AI processing clusters.

Why this matters: The availability of GB10-based systems represents a significant shift in AI computing accessibility, bringing previously enterprise-only capabilities to individual researchers and smaller development teams at a relatively accessible price point.