OpenAI is set to utilize NVIDIA's Blackwell B200 data center GPUs for its AI training through the latest DGX B200 platform.
OpenAI is next to use NVIDIA's most powerful data center Blackwell GPU as NVIDIA ships its early engineering sample to the AI firm
The demand for the NVIDIA Blackwell architecture-based B200 is going through the roof. Several giants have already started placing orders for the B200 GPUs, which are the fastest data center GPUs NVIDIA has ever produced. OpenAI was expected to utilize the B200 GPUs as per NVIDIA, and it looks like the company is definitely looking to increase its AI computing potential through the usage of this ground-breaking performance of the B200.
Just now, the official X handle of OpenAI has posted a pic of its team with one of the first engineering samples of the DGX B200. The platform has arrived at their office, which means the company is set to test and train its powerful AI models with the B200.
Look what showed up at our doorstep.
Thank you to @nvidia for delivering one of the first engineering builds of the DGX B200 to our office. pic.twitter.com/vy8bWUEwUi
— OpenAI (@OpenAI) October 8, 2024
If you don't know what DGX B200 is, it's a unified AI platform made for training, fine-tuning, and inference using the upcoming Blackwell B200 GPUs. Each DGX B200 uses eight B200 GPUs to deliver up to 1.4 TB of GPU memory with a HBM3E memory bandwidth of up to 64 TB/s. As per NVIDIA, the DGX B200 can offer up to 72 petaFLOPS of training performance, and 144 petaFLOPS of inference performance which are highly impressive for AI models.
OpenAI has always looked interested in Blackwell GPUs and its CEO, Sam Altman once showed interest in using them for training their AI models.
Blackwell offers massive performance leaps, and will accelerate our ability to deliver leading-edge models. We’re excited to continue working with NVIDIA to enhance AI compute.
No doubt that the company won't be missing out on the Blackwell since several giants have already decided to train their AI models with these GPUs. These include Amazon, Google, Meta, Microsoft, Google, Tesla, xAI, and Dell Technologies. We have previously reported about xAI planning to use 50,000 B200 GPUs apart from the currently deployed 100,000 H100 GPUs. Now Foxconn has also announced to build the fastest supercomputer in Taiwan using the B200 GPUs.
With Blackwell, OpenAI would be able to train their AI models for faster computing needs, which will not only be superior to NVIDIA Hopper GPUs but will be much more power-efficient. As per NVIDIA, the DGX B200 offers 3x the training performance and 15x the inference performance compared to previous generations and can handle LLMs, chatbots, and recommender systems.
News Source: @OpenAI
About the author: Sarfraz Khan is a hardware reporter with a focus on PC components and the builder community. With years of experience writing about PC hardware and laptops, his work has been featured on several reputable technology publications. Sarfraz's hands-on experience is demonstrated through his first-person accounts of using and comparing different hardware configurations, providing practical and relatable insights for everyday users. His technical analysis is respected by peers in the enthusiast community and has been cited by specialized hardware sites such as Germany's Igor's Lab.
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