TechByte Update: August 29, 2023
Tesla is set to launch its highly anticipated $300 million AI cluster supercomputer on Monday, according to @SawyerMerritt. We will use the machine for various artificial intelligence (AI) applications, but the cluster is so powerful that they could also use it for demanding high-performance computing (HPC) workloads. In fact, the Nvidia H100-based supercomputer will be one of the most powerful machines in the world.
Here are the key details about Tesla’s new supercomputer:
- It will employ 10,000 Nvidia H100 compute GPUs, which will offer a peak performance of 340 FP64 PFLOPS for technical computing and 39.58 INT8 ExaFLOPS for AI applications.
- This is higher than the 309 FP64 PFLOPS offered by Lumi, the world’s third highest-performing supercomputer.
- The supercomputer will train Tesla’s full self-driving (FSD) technology faster than ever before.
- It will also manage data processing for Tesla’s entire vehicle fleet.
Tesla’s investment in AI and computing is a sign of its commitment to developing self-driving technology.
The company has already spent billions of dollars on AI research and development, and it will invest even more to achieve its goals.
The launch of Tesla’s supercomputer is a major milestone in the company’s journey to develop self-driving cars. It will give Tesla the computing power it needs to train its FSD technology more quickly and efficiently. This could help the company speed up the development of self-driving cars and bring them to market sooner.
Elon Musk, Tesla’s CEO, has said that the company plans to spend over $2 billion on AI training in 2023 and another $2 billion in 2024 specifically on computing for FSD training. This underscores Tesla’s commitment to overcoming computational bottlenecks and should provide substantial advantages over its rivals.
The launch of Tesla’s supercomputer is a significant development in the race to develop self-driving cars. It will be interesting to see how Tesla uses this powerful machine to advance its FSD technology and bring self-driving cars to market.