Recent #Supercomputer news in the semiconductor industry

9 months ago
➀ Elon Musk's xAI is upgrading its Colossus AI supercomputer from 100,000 to 200,000 NVIDIA Hopper AI GPUs; ➁ Colossus is the world's largest AI supercomputer, used for training xAI's Grok LLMs and chatbots for X Premium subscribers; ➂ The Colossus supercomputer cluster was completed in just 122 days, a feat recognized by NVIDIA CEO Jensen Huang.
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12 months ago
1. The US Department of Energy plans to build a supercomputer named Discovery, which will be 3-5 times faster than the current fastest, Frontier. 2. Proposals for the Discovery project are due by August 30, 2024, with delivery expected to the Oak Ridge National Laboratory by early 2028. 3. Discovery will be used for advanced scientific research including climate change prediction, drug discovery, cancer treatment, high-energy physics, and green energy development.
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5 months ago

OpenAI's release of GPT-4.5 has been delayed due to a shortage of GPUs. CEO Sam Altman mentioned on X that the rollout will be staggered and will involve adding tens of thousands of GPUs next week. This shortage is prompting OpenAI to develop its own AI silicon in partnership with Broadcom.

The high cost of GPT-4.5, at $75 per million input tokens and $150 per million output tokens, is a concern, but Altman emphasizes its unique intelligence.

NVIDIA's GPUs are in high demand, with Blackwell GPUs sold out until October. The expansion of AI infrastructure, including massive AI supercomputers and data centers, is driving this demand.

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7 months ago

➀ Google's latest quantum chip, Willow, achieves remarkable performance in benchmark tests, completing a standard calculation in less than 5 minutes;

➁ The chip solves a 30-year-old quantum error correction challenge by reducing errors exponentially with more qubits;

➂ Willow's breakthrough indicates that quantum computers could achieve scientific discoveries even the most powerful supercomputers cannot by the end of the 21st century;

➃ Quantum computing is crucial for tasks like discovering new drugs, designing efficient batteries for electric vehicles, and accelerating nuclear fusion.

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