AI Insights
NVIDIA expands Blackwell-powered servers with new AI and robotics capabilities

NVIDIA’s latest RTX PRO 6000 Blackwell Server Edition GPU will soon be available in enterprise servers.
Systems from Cisco, Dell Technologies, HPE, Lenovo, and Supermicro will ship various configurations in 2U servers. Nvidia says they will offer higher performance and efficiency for AI, graphics, simulation, analytics, and industrial applications, and support tasks like AI model training, content creation, and scientific research.
“AI is reinventing computing for the first time in 60 years – what started in the cloud is now transforming the architecture of on-premises data centres,” said Jensen Huang, founder and CEO of NVIDIA. “With the world’s leading server providers, we’re making NVIDIA Blackwell RTX PRO Servers the standard platform for enterprise and industrial AI.”
GPU acceleration for business workloads
Millions of servers are sold each year for business operations, most still using ‘traditional’ CPUs. The new RTX PRO Servers give systems GPU acceleration, boosting performance in analytics, simulations, video processing, and rendering, the company says. NVIDIA says its Server Edition GPU can deliver up to 45 times better performance than CPU-only systems, with 18 times higher energy efficiency.
The RTX PRO line is aimed at companies building “AI factories” where space, power, and cooling may be limited. The servers also provide the infrastructure for NVIDIA’s AI Data Platform for storage systems. Dell, for example, is updating its AI Data Platform to use NVIDIA’s design; its PowerEdge R7725 servers comes with two RTX PRO 6000 GPUs, NVIDIA AI Enterprise software, and NVIDIA networking.
The new 2U servers, which can house up to eight GPU units, were among those announced in May at COMPUTEX.
Blackwell architecture features
The new servers are built around NVIDIA’s Blackwell architecture, which includes:
- Fifth-generation Tensor Cores and a second-generation Transformer Engine with FP4 precision, capable of running inference at up to six times faster than the L40S GPU.
- Fourth-generation RTX technology for photo rendering, with up to four times the performance of the L40S GPU.
- Virtualisation and NVIDIA Multi-Instance GPU technology, allowing four separate workloads per GPU.
- Improved energy efficiency for lower data centre power use.
For physical AI and robotics
NVIDIA’s Omniverse libraries and Cosmos world foundation models on RTX PRO Servers can run digital twin simulations, robot training routines, and large-scale synthetic data creation. They also support NVIDIA Metropolis blueprints for video search and summarisation and vision language models, among other tools for use in physical environments.
NVIDIA’s has updated its Omniverse and Cosmos offerings, with new Omniverse SDKs and added compatibility with MuJoCo (MJCF) and Universal Scene Description (OpenUSD). The company says this will allow over 250,000 MJCF developers to run robot simulations on its platforms. New Omniverse NuRec libraries bring ray-traced 3D Gaussian splatting for model construction from sensor data, while the updated Isaac Sim 5.0 and Isaac Lab 2.2 frameworks – available on GitHub – add neural rendering and new OpenUSD-based schemas for robots and sensors.
NuRec rendering is already integrated into the CARLA autonomous vehicle simulator and is being adopted by companies like Foretellix, which is using it for generating synthetic AV testing data. Voxel51’s FiftyOne data engine, used by automakers like Ford and Porsche, now supports NuRec. Boston Dynamics, Figure AI, Hexagon, and Amazon Devices & Services are among those already adopting the libraries and frameworks.
Cosmos WFMs has been downloaded over two million times. The software helps generate synthetic training data for robots using text, image, or video prompts. The new Cosmos Transfer-2 model speeds up image data generation from simulation scenes and spatial inputs like depth maps. Companies like Lightwheel, Moon Surgical, and Skild AI are using Cosmos have begun to produce training data at scale using Cosmos Transfer-2.
NVIDIA has also introduced Cosmos Reason, a 7-billion-parameter vision language model to help robots and AI agents combine prior knowledge and understanding of physics. It can automate dataset curation, supports multi-step robot task planning, and run video analytics systems. NVIDIA’s own robotics and DRIVE teams use Cosmos Reason for data filtering and annotation, and Uber and Magna have deployed it in autonomous vehicles, traffic monitoring, and industrial inspection systems.
AI agents and large-scale deployments
RTX PRO Servers can run the newly-announced Llama Nemotron Super model. When running with NVFP4 precision on a single RTX PRO 6000 GPU, they deliver up to three times better price performance than FP8 on NVIDIA’s H100 GPUs.
(Photo by Nvidia)
See also: Nvidia reclaims title of most valuable company on AI momentum
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AI Insights
Artificial Intelligence Becomes Mandatory Discipline in All Kazakh Universities

ASTANA — Artificial intelligence has become a mandatory discipline across all universities in Kazakhstan. A total of 93 universities have already integrated AI into their academic programs, while 20 institutions have launched 25 new educational tracks, said Deputy Minister of Science and Higher Education Gulzat Kobenova.
Photo credit: gov.kz
According to her, this initiative will not only strengthen the education system but also bring Kazakhstan closer to leading countries in AI adoption, such as China, Finland and the United States, reported Khabar TV channel on Aug. 28.
Starting from the new academic year, the Aisana project will be included in university curricula, enabling every student to gain hands-on experience with AI technologies. So far, 390,000 students have completed a specialized AI course, with 3,000 of them earning official certificates.
Earlier this month, President Kassym-Jomart Tokayev called for urgent action to make AI a driver of national development.
One of the largest AI projects in Kazakhstan is the creation of the Alem.ai center, which is planned to host an educational center for school children and a startup campus. The center is expected to boost exports of AI solutions to $5 billion by 2029.
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Brave new world of AI casts shadow over Labor Day – Sentinel and Enterprise

As artificial intelligence reshapes the workforce, we mark Labor Day Weekend in the AI age with both the traditional recognition of workers’ achievements and a new reflection on the future of labor.
AI’s creating a new economic dynamic that profoundly affects the workplace. On this particular holiday weekend, the impact of these changes should be a primary concern for workers and policymakers.
Leading into Labor Day, Massachusetts business and technology leaders hashed out strategies to strengthen the state’s competitive edge in artificial intelligence and tackle emerging skills gaps.
More than half of the individual skills considered core parts of the top 15 job types “could face moderate-to-high disruption from AI,” according to a report from the Massachusetts High Technology Council and the Boston Consulting Group, highlighted Wednesday during a virtual briefing.
The most immediate impacts could occur in structured jobs with repetitive routines, including office clerks and accountants, “where 40-50% of core skills are at risk of high-to-complete disruption as GenAI automates tasks like scheduling, recordkeeping, invoicing and compliance checks,” the report states.
The report also discusses how AI will redefine other traditional jobs, including health-care professionals who can use AI to flag clinical risks, educators who can use analytics to personalize instruction, and financial analysts using generative AI to detect fraud.
Ahead of the start of the school year, the Department of Elementary and Secondary Education last week released guidance on using AI responsibly in schools, including in ways that are safe and ethical.
Given this transformative shift, employers have begun recruiting workers for “bilingual roles,” which involves AI fluency in areas like AI models, AI-based automation and AI-assisted learning tools.
But the report shows Massachusetts has a “retention problem,” with only 40% of AI-trained graduates staying here, compared to 80% in New York and California, said Anna Senko, project leader at the Boston Consulting Group.
“We also know that peer states are really investing quite aggressively in AI infrastructure and workforce pipelines as well, which will increase that competition for talent,” Senko said. “So we’re at a crossroads here in Massachusetts, and it isn’t about adopting AI for AI’s sake, but really making sure that AI strengthens Massachusetts’ competitive advantage, especially in some of our top industries.”
The report recommends the commonwealth invest in the talent pipeline from K-12 classrooms to those in mid-career learning new skills; bolster shared AI infrastructure and strategic partnerships; compete for federal AI dollars; and deploy grants, tax incentives and other tools to businesses.
The 2024 economic development law allocated $100 million for the Massachusetts AI Hub. Since launching, the hub has trained teachers in using AI, taught high school students how to use Python programming language, awarded grants in sectors like health care and manufacturing, and organized workforce development programs, said Massachusetts AI Hub Director Sabrina Mansur.
In New York, Empire AI is supported by more than $500 million in public and private funding. Connecticut and New Jersey are also launching AI hubs with smaller investments, according to the report.
“We need to move at the speed of AI in business because we’re not competing sufficiently with peer states, even though we have, I think, the best mix of resources of any commonwealth or any state,” said Chris Anderson, Massachusetts High Technology Council’s president. “And therefore, we need to help push government partners to join us, to be responsive in the right areas at the right time where it makes sense.”
The report from MHTC and BCG indicates that AI will trigger a variety of job disruptions. While clerks and accountants may see the biggest impact, even cashiers, retail salespeople, registered nurses, waiters, fast-food workers, and janitors and cleaners will feel the impact.
“If you think about buildings becoming smarter, predictive maintenance schedules, space use tracking and even autonomous cleaning pods, it’s easy to see how the responsibilities and ways of working a janitor role would fundamentally shift,” BCG consultant Trula Rael said.
We’d urge the state’s brightest minds to also concentrate on AI’s generational impact on displacing countless highly educated college grads just entering the workforce.
According to a CBS MoneyWatch report, artificial intelligence is already replacing entry-level workers whose function can be performed by generative AI tools like ChatGPT.
Early-career employees in fields most exposed to AI have experienced a 13% drop in employment since 2022, compared to more experienced workers in the same fields and people in sectors relatively unaffected by the fast-emerging technology, according to a recent working paper from Stanford economists Erik Brynjolfsson, Bharat Chandar and Ruyu Chen.
The study adds to the growing body of research that confirms the spread of generative AI in the workplace has especially disrupted the job market for younger workers, the report’s authors said.
The research highlights two fields in particular where AI already appears to be supplanting a significant number of young workers: software engineering and customer service. From late 2022 to July 2025, entry-level employment in those areas declined by roughly 20%, according to the report, while employment for older workers in the same jobs grew.
As a society, we must confront this seismic workforce shift by threading the needle that accepts AI’s continually increasing role in our daily workplace lives while not leaving our next generation of skilled labor behind.
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