New NVIDIA Models Helps Robots Learn, Reason, and Act in the Real World
30/09/2025
2:29 pm
NVIDIA also unveiled the GB200 NVL72 system, RTX PRO servers and Jetson Thor for real-time on-robot inference.
Explore NVIDIA’s journey from its 1993 founding to becoming a global leader in GPU technology and AI innovation. Learn about groundbreaking products like GeForce graphics cards, CUDA programming, and data center solutions. Discover NVIDIA’s impact on gaming, autonomous vehicles, and high-performance computing. Uncover the company’s history, key milestones, and its role in shaping the future of technology.
NVIDIA also unveiled the GB200 NVL72 system, RTX PRO servers and Jetson Thor for real-time on-robot inference.
The NVIDIA partnership centres on advancing global retail, whereas the collaboration with the telecom company aims to enhance customer experience.
The first gigawatt of capacity is scheduled for deployment in the second half of 2026 on NVIDIA’s Vera Rubin platform.
Intel CPUs would allow entire NVIDIA racks to function “as if it’s one giant computer, one giant GPU,” said Huang.
The semiconductor giant also introduced its AI Factory reference designs along with MLPerf Inference v5.1 results showing record performance for its Blackwell Ultra GPUs.
‘Google could unlock massive value if it decided to sell its TPUs beyond its own cloud’
xAI’s Colossus 2, which will host an additional 550,000 GB200 and GB300 GPUs, is scheduled to go online in the coming weeks.
Governments worldwide are racing to build sovereign AI infrastructure and NVIDIA has become the go-to supplier.
Jetson Thor, powered by Blackwell, offers up to 7.5 times more AI compute and 3.5 times greater energy efficiency than its predecessor, Jetson Orin.
The app allows engineers to track power estimation, reduction and sign-off through the design process.
“We hope to continue to cooperate with China,” Jensen Huang had said previously.
Betty boasts 31 GPU nodes and a robust InfiniBand fabric, enabling researchers to analyse large datasets efficiently.
This comes just after NVIDIA resumes sales of H20 chips to China.
NVIDIA’s Blackwell B200 GPU was widely made available in Chinese markets.
AMD follows suit with its MI308 AI chips, expected to ship soon to China.
By training Claude Opus 4 entirely on its own chips, Amazon may be hinting that the AI race isn’t exclusive to NVIDIA’s hardware.
With a $150 million boost in funding, the company aims to integrate advanced AI models with extensive datasets into the drug development process.
Google and AWS have reduced their reliance on NVIDIA, with Meta and OpenAI set to do the same.
Cisco focuses on high-performance, low-latency networking to meet the growing demands of AI workloads and deliver secure, scalable infrastructure solutions.
JFrog uses its Xray component to scan containerised NVIDIA AI models, including NIM containers, for known vulnerabilities, malicious packages, and license compliance issues.
The model is fit for enterprise-focused use cases that need accurate document analysis and more.
“China’s AI moves on with or without U.S. chips. It has to compute to train and deploy advanced models.”
For students and educators in higher education, NVIDIA offers free instructor-led workshops and curriculum resources through its Teaching Kit and University Ambassador programmes.
Texas Instruments (TI) has announced a collaboration with NVIDIA to develop new power management and sensing technology aimed at supporting future high-voltage power systems in AI data centres. The partnership focuses on creating an 800-volt direct current (DC) power distribution system that will power NVIDIA’s next-generation AI servers. This new
The workshop offered participants a practical understanding of building sophisticated AI systems capable of autonomous task execution.
It showed zero-to-one generalisation, achieving over 43% success on novel tasks and 28% in unseen environments.
“400,000 to 500,000 enterprise companies around the world have built their IT data centres over the last 30 years in the old way, and it needs to be brought into the world of AI.”
The newly released Tokkio and AI-Q AI Blueprints help developers build intelligent digital avatars that converse naturally, integrate with enterprise data, and adapt to emotional or contextual shifts.
NVIDIA announced plans to invest in Taiwan’s tech infrastructure, announcing an AI supercomputer in the country.
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