Maxsun Unveils Dual-GPU Arc Pro B60 for Enhanced Machine Learning
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By Archynetys News Team | Published: 2025-05-22
Revolutionizing Machine Learning: Maxsun’s innovative Dual-GPU solution
In a groundbreaking move, Maxsun has announced a special edition of Intel’s Arc Pro B60 VGA at Computex: the Arc Pro B60 Dual Turbo. This unique card features not one,but two BMG-G21 GPUs mounted on a single printed circuit board,promising a significant boost in performance for machine learning applications.

Unlocking performance: How the Dual-GPU Design Works
The Arc Pro B60 Dual Turbo effectively functions as if a user where installing two separate Arc Pro B60 cards via PCI Express. Crucially, this design doesn’t suffer from performance bottlenecks. Each GPU chip supports eight lanes, ensuring maximum efficiency when connected to an X16 PCI Express 5.0 interface.The primary requirement for users is that their motherboard must support PCI Express bifurcation, a feature that allows a single PCI Express slot to be split into multiple lanes.
PCI Express bifurcation is becoming increasingly common on modern motherboards, reflecting the growing demand for multi-GPU solutions in professional and high-performance computing environments. Such as, many high-end workstation motherboards already support bifurcation, allowing users to install multiple graphics cards or NVMe SSDs in a single slot.
Targeting Machine Learning: A Strategic Move
maxsun’s focus with this innovative design is clearly on accelerating machine learning tasks. By leveraging the power of two GPUs through a single PCI Express interface, the Arc Pro B60 Dual Turbo offers a compelling solution for users seeking high performance without the complexity of managing multiple discrete cards. This approach can lead to significant gains in processing speed and efficiency, notably in tasks that can be effectively parallelized across multiple GPUs.
The demand for accelerated machine learning is rapidly increasing. According to a recent report by Gartner, the market for AI hardware, including GPUs and specialized AI accelerators, is projected to reach $79.4 billion in 2025, highlighting the significant investment and innovation in this space.
