Tesla’s AI Computing Power Doubles with 10,000 Cutting-Edge GPUs
In a remarkable leap forward, Tesla has recently unveiled a significant expansion in its AI computing capabilities, doubling its processing power. The automotive giant has added a cluster of 10,000 state-of-the-art H100 GPUs, setting the stage for even more advanced artificial intelligence applications. This move highlights the continued demand for ever-more potent computer processors, particularly in the realm of artificial intelligence.
Tesla’s Reliance on Nvidia GPUs
Nvidia, a key player in the AI hardware sector, finds itself at the forefront of this surge in demand for high-performance chips. Tesla’s latest acquisition of 10,000 H100 GPUs underscores the company’s commitment to harnessing the power of AI for its autonomous driving technologies. This massive GPU deployment comes ahead of Tesla’s eagerly anticipated Dojo computer, an in-house development poised to redefine AI training capabilities further.
The Evolution of Tesla’s Supercomputing Power
Photo credit: nvidia
Tesla’s journey into AI-driven computing has been nothing short of impressive. As of mid-2021, the company was already operating the fifth fastest supercomputer globally, boasting 5,760 Nvidia A100 GPUs. This initial setup represented a formidable force in AI processing. However, Tesla’s ambitions didn’t stop there. Enter “Dojo,” a dedicated supercomputer tailored for efficient video training of its autopilot AI.
CEO Elon Musk has committed over $1 billion to the development of Dojo by the end of the coming year. While Tesla is pushing the boundaries of in-house AI hardware, it continues to leverage Nvidia’s cutting-edge GPUs, further underlining their critical role in the company’s AI ecosystem.
Tesla’s Latest AI Cluster: 10,000 H100 GPUs
The unveiling of Tesla’s latest AI cluster, comprising 10,000 H100 GPUs, signals a monumental leap in computing capabilities. Previously, Tesla relied on a combination of A100 processors, with reports indicating 5,760 A100 GPUs at one point, which later increased to approximately 7,360. With the introduction of the H100 GPUs, Tesla’s computational power is estimated to have doubled. This boost in processing capacity positions Tesla as a formidable player in the global AI landscape.
A Glimpse into the Investment
The acquisition of 10,000 Nvidia H100 GPUs represents a substantial investment. Each unit, consisting of eight H100 GPUs, comes at a cost of $460,000, with services adding approximately $100,000 to the total. While Tesla could potentially bypass some of these additional costs, the 10,000 GPUs alone would amount to nearly half a billion dollars. This investment is a significant step toward achieving Elon Musk’s ambitious vision for Tesla’s AI capabilities.
The Synergy of Dojo and Nvidia
Elon Musk has emphasized that Tesla intends to utilize both Nvidia GPUs and its proprietary Dojo supercomputer for AI development. This dual-pronged approach underscores the magnitude of resources required for Tesla’s Full Self-Driving (FSD) autopilot software to surpass human driving capabilities. Musk’s commitment to investing in both Nvidia and Dojo reflects his dedication to advancing Tesla’s AI-driven technologies.
In summary, Tesla’s integration of 10,000 H100 GPUs into its computing arsenal marks a pivotal moment in the company’s journey toward AI supremacy. As Tesla continues to forge ahead with its Dojo supercomputer and partner with Nvidia, the race to achieve fully autonomous driving capabilities accelerates, ushering in a new era of innovation and technological prowess in the automotive industry.
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