
Maxsun has introduced the Intel Arc Pro B60 Dual 48G Turbo, a dual-GPU graphics card featuring two Intel Arc Pro B60 GPUs for a total of 48GB of GDDR6 memory, aimed at AI and workstation workloads. The card, utilizing dual Battlemage BMG-G21 silicon, fits into a standard PCIe 5.0 x16 slot but requires motherboard support for PCIe bifurcation as each GPU interacts independently via a PCIe 5.0 x8 interface; pricing and availability are currently unknown, but the Arc Pro B60 typically costs around $500 per unit.
Maxsun's unveiling of the Intel Arc Pro B60 Dual 48G Turbo signifies Intel's re-entry into the dual-GPU market, a segment that has been largely inactive since products like Nvidia's GeForce GTX Titan Z in 2014 and AMD's Radeon Pro Duo in 2016. This new card integrates two Intel Arc Pro B60 GPUs, each built on Battlemage BMG-G21 silicon and equipped with 24GB of GDDR6 memory, providing a substantial total of 48GB aimed at demanding AI workloads. Each GPU operates at Intel's reference specifications, including 20 Xe cores, a 2,400 MHz clock speed, and 456 GB/s memory bandwidth. While the cumulative 48GB memory capacity is competitive, matching solutions like the RTX Pro 5000 Blackwell and exceeding the GeForce RTX 5090 by 50%, a critical architectural detail is that the two GPUs function independently. They communicate with the system via separate, bifurcated PCIe 5.0 x8 interfaces within a single PCIe 5.0 x16 slot, necessitating motherboard support for PCIe bifurcation and effectively acting as two distinct 24GB GPUs on one board. This design facilitates high-density configurations, such as Intel's "Project Battlematrix" concept, but differs from a unified large memory pool. Maxsun has specified a total board TDP of 400W, and while official pricing is unannounced, it is estimated to be around $1,000, given the standalone Arc Pro B60 costs approximately $500. The neutral overall sentiment (0.1) and low market impact score (0.3) suggest this is a specialized offering, whose market traction will likely depend on its price-performance in specific AI applications that can leverage or accommodate its distinct dual-GPU architecture.
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