NVIDIA has recently launched a new compact generative AI supercomputer—the Jetson Orin Nano Super Developer Kit. This product not only features significant performance improvements but also comes at a drastically reduced price, with potential for further performance upgrades via software, aimed at making generative AI accessible to more people. The all-new Jetson Orin Nano Super Developer Kit is small enough to fit comfortably in hand, catering to commercial AI developers, enthusiasts, and students.

NVIDIA recently introduced a generative artificial intelligence (AI) supercomputer called Jetson Orin Nano Super, designed for developers to offer a significant performance leap at a more accessible price. Priced at $249, approximately 1814 RMB, it features a 1.7x improvement in generative AI performance. Compared to previous models, Jetson Orin Nano Super achieves a 70% performance increase, capable of performing 67 million INT8 operations per second, or 67 INT8 TOPS.

Earlier this year, Google released the sixth generation of TPU, the Trillium, which is the most powerful TPU to date. Today, Trillium is officially available for Google Cloud customers. Google has trained its latest AI model, Gemini 2.0, using the Trillium TPU, making it the strongest AI model created by Google so far. Now, enterprises and startups can leverage the same robust, efficient, and sustainable infrastructure. The core of the AI supercomputer: Tri

Tesla CEO Elon Musk is fully committed to pursuing AI chips to support his new supercomputer, a move that has already pushed Nvidia's production capacity to its limits. According to a report by The Wall Street Journal, a sales executive at Nvidia mentioned in an internal email that Musk's demand for their chips is putting pressure on the company's supply chain. An Nvidia spokesperson stated, 'We are working hard to meet all customer demands and have significantly increased the available supply.' Image source note: Image generated by AI.

Recently, Foxconn (Hon Hai) and Nvidia announced an exciting collaboration plan to build a massive supercomputer. This computer will use Nvidia's latest Blackwell chip architecture and is named the 'Hon Hai Kaohsiung Supercomputing Center'. This project was officially unveiled during the recently concluded Foxconn Technology Day event. Image credits: The image is generated by AI, and the image is licensed by service provider Midjourney. The scale of this supercomputer is enormous.

At a recent ceremony, Switzerland officially activated its latest supercomputer - 'Alps'. This supercomputer boasts top-notch speed, and Switzerland aims to establish itself as a leader in trustworthy artificial intelligence solutions through this initiative. Image source note: Image generated by AI, licensed by Midjourney. The inauguration ceremony took place at the Swiss National Supercomputing Centre (CSCS) in Lugano, southern Switzerland, with ETH Zurich conducting the official launch. Switzerland's economy, education and...

AI startup Magic has completed a $320 million funding round, with participation from Eric Schmidt, Alphabet's CapitalG, and investors like Atlassian, bringing the total funding close to $500 million. Magic focuses on AI model development aimed at generating code and automating software development tasks, featuring an exceptionally long context window of up to 100 million tokens, surpassing current commercial models. Magic plans to collaborate with Google Cloud to build two supercomputers to enhance

Amazon Web Services (AWS) has launched a new High Performance Computing (HPC) management service - AWS Parallel Computing Service, aimed at simplifying the process for businesses to access and utilize supercomputing resources, lowering the barrier to entry. This service utilizes the open-source tool Slurm to manage clusters, allowing users to easily set up and manage clusters of Amazon Elastic Compute Cloud (EC2) instances on AWS without complex system administrator support. Businesses only need one AWS account to experiment and test the advantages of their workloads in large-scale computing.

Elon Musk showcased the internal structure of Tesla's Cortex AI supercomputer cluster being built at the Austin headquarters, which is expected to require 130 megawatts of cooling and power upon launch, growing to 500 megawatts by 2026. The cluster contains 70,000 AI servers, primarily used to solve real-world AI issues, particularly for training Tesla's full self-driving system and the AI for the Optimus robot. Cortex will rely entirely on Nvidia's hardware at launch, while Tesla's own hardware is expected.

The newly elected Labour government in the UK recently promised to prioritize artificial intelligence within its policy framework. However, while trying to balance the national budget, it unexpectedly shelved $170 million originally intended for AI and technology projects. This move stems from a fiscal gap left by the previous government, with new Chancellor Rachel Reeves accusing her predecessors of 'covering up' a $27.9 billion public spending gap. In the context of budget cuts, many AI projects have been impacted, especially the $1 billion petascale supercomputer project based in Edinburgh.

On July 9th, Musk announced that his artificial intelligence company xAI is building a supercomputer with 100,000 NVIDIA H100 GPUs, expected to be delivered and begin training by the end of this month. This move marks the termination of xAI's negotiations with Oracle to expand the existing agreement and rent more NVIDIA chips. Musk emphasized that this will become "the most powerful training cluster globally with a significant lead." He said that the core competitive edge of xAI lies in speed, "

Elon Musk's artificial intelligence startup xAI has announced a partnership with Dell, NVIDIA, and Supermicro to build what is claimed to be the world's largest supercomputer. This project will provide the startup with significant computing resources to support its training efforts and reduce dependence on cloud services from Oracle and X Company data centers.

Elon Musk's artificial intelligence startup xAI is building a supercomputer, and Dell Technologies and Super Micro will supply the server racks for it. Musk stated on the social media platform X that Dell will assemble half of the racks for the xAI supercomputer. When referring to the other partner, the billionaire mentioned 'SMC' in response to another post, referring to the server manufacturer Super Micro. Based in San Francisco, Super Micro collaborates with chip companies like NVIDIA.

Nvidia's net income increased by 265% in the fourth quarter, with founder Jensen Huang announcing Nvidia AI services. The company generated $22.1 billion in revenue, with net profit skyrocketing by 769%, exceeding expectations. The Nvidia AI supercomputer DGX can be accessed via web browser and is available on multiple cloud platforms.

Scientists successfully trained a model at ChatGPT level using only 8% of the computing power. The research team utilized innovative technology on the Frontier supercomputer, training a trillion-parameter language model with just thousands of AMD GPUs. They achieved 100% weak scaling efficiency for 175 billion-parameter and trillion-parameter models while utilizing only 8% of computing capacity. The results indicate that training large language models with trillion parameters remains challenging.

The EU plans to support local AI startups in model training by providing access to supercomputer processing power. The early involvement of Mistral in the EU's supercomputer access program may indicate alignment of ideas. The European Commission has announced that dedicated supercomputer access will be provided to AI startups to help them develop large models. This initiative is the latest move in the EU's increased investment in artificial intelligence, aiming to help European companies compete with the US in this critical field.