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.

Cloud TPU v5p is Google's most powerful tensor processing unit, featuring 8960 chips per pod with significant performance improvements. The AI Hypercomputer uses a collaborative system design to optimize the efficiency and productivity of AI tasks, revolutionizing supercomputer architecture. It introduces the Dynamic Workload Scheduler and traditional consumption models, supporting Cloud TPU and Nvidia GPUs, optimizing user expenditures. This innovation marks a milestone in artificial intelligence.

Jensen Huang believes that general artificial intelligence will surpass humans within 5 years. The first AI supercomputer from OpenAI was ordered by Musk from Nvidia. Huang predicts that competition in AI will lead to the creation of more ready-made tools. However, achieving general AI still requires breakthroughs in multi-step reasoning capabilities. Progress in the AI field is rapid, and there is a distinction between tools and intelligence.

NVIDIA showcased its new supercomputer Hopper in the MLPerf benchmark tests. Hopper is equipped with over 10,000 powerful H100 GPUs. Compared to Intel's Gaudi2, Hopper delivers 4 times the performance per dollar. Few vendors besides NVIDIA submitted results for MLPerf. While the MLPerf training benchmarks are increasingly losing comparative significance, Hopper still demonstrates superior computing power.

The UK government plans to invest £225 million to build the fastest supercomputer, supported by hardware from Nvidia and HPE. The computer will be used to explore applications of artificial intelligence in robotics, climate research, and drug discovery, and is expected to be operational by the summer of 2024.

🔍 Government Quadruples AI Spending: The UK government will increase spending on AI chips and supercomputers. 🌐 UK Positioned as a Global Hub: The UK government aims to position the country as a global center for AI technology through agreements with international research networks. 🔬 Supercomputer Investment: The government has approved an investment of £100 million for a supercomputer facility in Bristol.

Nvidia's DGX Cloud launches on the Oracle Cloud marketplace, providing customers access to powerful Graphics Processing Units. Nvidia's DGX Cloud platform, paired with AI enterprise software, allows access to over 100 AI frameworks and pretrained models. Nvidia's DGX Cloud AI can be accessed through the Oracle Cloud Marketplace.

Tesla is building a new headquarters for the Dojo supercomputer. Musk has stated that Dojo may provide cloud services in the future, similar to Amazon AWS. Based on Tesla's self-designed AI chip D1, Dojo is expected to reduce reliance on Nvidia. Tesla anticipates a significant increase in Dojo's computing power, which could also support other AI products. By designing its own chips, Tesla could save over $6 billion in the coming years. Musk believes Dojo has immense potential and could create hundreds of billions in value.

Tesla is reportedly constructing a bunker-like new building in Austin, Texas, to house the Dojo supercomputer. This claim came months after Tesla entered Dojo production. Tesla has increased its orders for D1 Dojo chips from TSMC to meet demand for 2024. It is said that Dojo itself could increase Tesla's enterprise value to around $500 billion. Musk has stated that Dojo is expected to become one of the world's most powerful supercomputers.

Intel CEO Pat Gelsinger announced several new products, including a 288-core chip, at a press conference, expressing confidence in turning around the company's fortunes and returning to the top. Intel is launching products for the client market that support local AI inference without relying on cloud and online usage of large models. The strategic goal for Intel is to achieve dual breakthroughs in process and products by 2024, forming a strong ecosystem with customers.