Scientific innovations accelerate with Azure and NVIDIA GPUs – show how scientists transform the discovery.
The organization uses as catalysts for change – tuking risks, question the status quo, scaling of niches and transformation of industries. In the season 1 series of catalysts, the possibility takes place through the lens of three startups using Microsoft Azure infrastructure and NVIDIA -specific models and accelerated computing technologies for progress in science, health and technology. From digital twins to drug discovery, we encounter societies that control social and scientific progress through new methods that intensify human ingenuity and skill.
PANGEA data help doctors to close gaps in care with AI
Diagnosis and treatment of health conditions, whether rare or predominant, may be for physicians and patients, as patient records may be difficult to bridge pages and clinic doctors have limited time to review them, resulting in being buried by information of patients who help clinical doctors to identify optimal clinical pathways They improve patients and improve patients and improve patients and improve patients. Panga data is trying to close gaps in the use of AI configured on clinical instructions to imitate processes used by clinic doctors to review electronic health records. This helps to find untreated and insufficiently trained patients in a difficult diagnosis at the time of care without disrupting the existing workflows of clinics.
For example, the British National Medical Service (NHS) used the Pangea platform to identify six times more untreated and insufficiently caused patients with severe-degnos, cancer cachexia, which can help half of the cost of treatment. Similarly, the US health system has deployed the PANGEA platform to recognize every year of $ 9 million by closing gaps in the field of care for only one condition.
The PANGEA platform runs on a globally compatible and secure cloud infrastructure of Microsoft Azure and is integrated with AI NVIDIA understanding. A combination of high -performance computing technicians with an optimized software framework and tools is provided by the PANGEA platform of early and reliable knowledge to trust doctors and healthcare providers. This helps to balance fair care for patients and helps financially sustainable and scalable to improve results.
You must make sure that the information is provided by doctors in a compatible way. And this is where Azure does phenomenal work. The fact that they have already done group work to suit all different countries and territories. It is extremely improving the confidence that you are a well -known entity, trustworthy entity, beyond the technology.
–Vibor Gupta, PhD, founder and CEO of Pangea Data
Basecamp research combines biotechnology with biological diversity
Basecamp Research considers nature a key to a scientific discovery. They have built one of the large biological databases in the world to support scientists and companies that work to discover drugs, develop products and biological research. This database with more than 10 billion new proteins includes valuable tools, such as proteins of gene editing that were collection from different natural surroundings, surrounding the world. The data file is then used to train AI models, such as evolutionary modeling (ESM), which can help identify new goals, design new proteins and predict metabolic pathways, supporting faster development of innovative drugs and biological products.
AI made it possible to set up new benchmarks in control, novelty and efficiency. Increasing the annual growth rate of their database ten times required scalable computing sources, advanced models and extensive data. Using Microsoft Azure infrastructure to operate its models and use the NVIDIA bioneMO framework for meaningful increased operating speeds and achieved scalabibility.
We used Azure quite a lot, used Azure Kubernetes Services (AKS) and a register of containers to organize it and basically massively scal these annotation pipes. Nvidia comes in the next stage in terms of using data sets for model training.
–Glen Gowers, co -founder Basecamp Research
Global objects digitize physical artifacts across industries
Microsoft sees digital twins AI as basic technology with many applications that can help bridge the physical and digital worlds. Digital twins provide virtual replicas of physical assets and systems, be it a work of art, a film support, or a simulation that can be accelerated by the production process in production. Global objects have shared how Advanced AI and 3D scan technologies use to create digital twins props and Phototoireiste objects in various rent. The company’s aim focused on the production of high -quality Photoireliste content and fill in this gap by AI training in order to map the physical environment in the data set of the highest loyalty with accuracy.
By mixing artistic skills with advanced technology, they were able to create an authentic digital version of the new cloud objects. To achieve this, they gathered a large sub -group of random objects that help generate new content that precisely replicates the exact specialties of each object digitally. The digitization of objects can be used not only to preserve art or shoot films, but also to create new products and services across games, robotics and health care.
The most important thing in all this is processing. Files, size, speed everyone requires the best system, servers, operators, GPUs that are on the market today. Relationship with Microsoft and NVIDIA is so strong not only to learn internally in our system and operations, but to work with customers and ensure that we always have traffic, which we can always supply with the fastest, most effective and loyalty, as possible.
–SESE REDNISS, Chief Director of Global Objects Strategy
Become a catalyst change with Microsoft Azure and Nvidia
Microsoft and Nvidia offer main development tools, framework and pre -trained models that are designed to support developers, researchers and business leaders. By combining the trusted Azure Cloud Foundation with top -class computing capacities, NVIDIA can faster to deploy AI, itter to be smarter and stay before the competition. The examples you have seen today are catalysts for the more inclusive and intelligent future that control progress in various fields and industries. Watch a series of catalyst.
1 McKinsey, State AI: As the organization attacks to capture value, 12 March 2025.
2 Crunchbase, the state of starting businesses in mid -2025 in 8 graphs: global financing and merger and fusion increase, because AI Fervor continues, 22 July 2025.
(Tagstranslate) ai