At CES 2025, NVIDIA's CEO announced the release of a desktop computer called 'Project Digits', specifically designed for AI development, claiming to be the smallest personal AI supercomputer in the world, with plans to launch around May. Project Digits is equipped with the latest GB10 Grace Blackwell superchip, which includes NVIDIA Blackwell GPU, featuring the latest generation CUDA cores and fifth-generation Tensor Cores.

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.

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.

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.

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.

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.