- Sparkle’s dense PCIe 5.0 design provides lower-cost entry into AI and data mining
- Up to 32 Intel GPUs deliver 768GB of VRAM for scalable AI computing
- 10,800W redundant power supply and advanced cooling enable continuous heavy workloads
Taiwanese graphics card maker Sparkle has unveiled its new dense and scalable GPU server that could offer an alternative to expensive AI acceleration systems like Nvidia’s H100, H200 and B200 data center GPUs.
The C741-6U-Dual 16P is designed to house up to 16 Arc Pro B60 Dual graphics cards, providing a total of 32 Intel GPUs and up to 768 GB of combined VRAM.
Each Arc Pro B60 Dual is equipped with two Battlemage BMG-G21 GPUs and, when fully equipped, the system will deliver a whopping 81,920 GPU cores.
Advanced cooling
The server supports 24GB and 48GB GPU models, paired with 4th or 5th generation Intel Xeon Scalable processors.
It uses the Intel C741 chipset and supports up to 32 DDR5 memory slots, allowing 256 GB per module for intensive workloads.
Sparkle built the system around a 6U chassis with strong power and cooling capacity.
The top configuration uses five 2,700W titanium power supplies, reaching a combined output of 10,800W, while the smaller version includes four 2,400W units rated at 7,200W.
With up to 15 fans installed, the system has clearly been designed to effectively manage heat during continuous workloads.
Each GPU connects to the CPU via a PCIe 5.0 x8 interface, either directly or via a Microchip switch, maximizing data bandwidth while avoiding potential bottlenecks caused by shared links.
There is support for two M.2 slots and multiple NVMe and SATA bays for local storage.
While there’s no way to know at this point how the Arc Pro B60 will perform in large-scale inference or training tasks, the flexibility offered by the hardware could appeal to researchers and developers looking for affordable parallel computing power.
Unsurprisingly, Sparkle hasn’t revealed the price of the C741-6U-Dual 16P, but potential buyers can make a purchase request on the website.
Via Video cardz
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