[News] Dell Leak Reveals NVIDIA’s Potential B200 Launch Next Year 

2024-03-04 Semiconductors editor

NVIDIA has yet to officially announce the exact release dates for its next-generation AI chip architectures, the Blackwell GPU, and the B100 chip. However, Dell’s Chief Operating Officer, Jeff Clarke, recently revealed ahead of schedule during Dell’s Q4 2024 Earnings Call that NVIDIA is set to introduce the Blackwell architecture next year, with plans to release not only the B100 chip but also another variant, the B200 chip.

Following Dell’s recent financial report, Clarke disclosed in a press release that NVIDIA is set to unveil the B200 product featuring the Blackwell architecture in 2025.

Clarke also mentioned that Dell’s flagship product, the PowerEdge XE9680 rack server, utilizes NVIDIA GPUs, making it the fastest solution in the company’s history. He expressed anticipation for NVIDIA’s release of the B100 and B200 chips. This news has sparked significant market interest, as NVIDIA has yet to publicly mention the B200 chip.

Clarke further stated that the B200 chip will showcase Dell’s engineering expertise in high-end servers, especially in liquid cooling systems. As for the progress of the B100 chip, NVIDIA has yet to disclose its specific parameters and release date.

NVIDIA’s current flagship H200 chip in the high-performance computing market adopts the Hopper GPU architecture paired with HBM3e memory chips, considered the most capable chip for AI computing in the industry.

However, NVIDIA continues to accelerate the development of its next-generation AI chip architectures. According to NVIDIA’s previously disclosed development roadmap, the next-generation product after the H200 chip is the B100 chip. Therefore, the expectation was that the B100 chip would be the highest-specification chip based on the Blackwell GPU architecture. Nevertheless, with the emergence of the B200 chip, it has sparked further speculation.

Previously, media speculation cited by the report from Commercial Times stated based on the scale of the H200 chip that the computational power of the B100 chip would be at least twice that of the H200 and four times that of the H100.

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(Photo credit: NVIDIA)

Please note that this article cites information from Commercial Times.