Explore How RTX AI PCs and Workstations Supercharge AI Development at NVIDIA GTC 2025

by Mirabilia IconsTechnology

 

Generative AI is redefining computing, unlocking new ways to build, train and optimize AI models on PCs and workstations. From content creation and large and small language models to software development, AI-powered PCs and workstations are transforming workflows and enhancing productivity.

At GTC 2025, running March 17–21 in the San Jose Convention Center, experts from across the AI ecosystem will share insights on deploying AI locally, optimizing models and harnessing cutting-edge hardware and software to enhance AI workloads — highlighting key advancements in RTX AI PCs and workstations.

Develop and Deploy on RTX
RTX GPUs are built with specialized AI hardware called Tensor Cores that provide the compute performance needed to run the latest and most demanding AI models. These high-performance GPUs can help build digital humans, chatbots, AI-generated podcasts and more.

With more than 100 million GeForce RTX and NVIDIA RTX™ GPUs users, developers have a large audience to target when new AI apps and features are deployed. In the session “Build Digital Humans, Chatbots, and AI-Generated Podcasts for RTX PCs and Workstations,” Annamalai Chockalingam, senior product manager at NVIDIA, will showcase the end-to-end suite of tools developers can use to streamline development and deploy incredibly fast AI-enabled applications.

Model Behavior
Large language models (LLMs) can be used for an abundance of use cases — and scale to tackle complex tasks like writing code or translating Japanese into Greek. But since they’re typically trained with a wide spectrum of knowledge for broad applications, they may not be the right fit for specific tasks, like nonplayer character dialog generation in a video game. In contrast, small language models balance need with reduced size, maintaining accuracy while running locally on more devices.

In the session “Watch Your Language: Create Small Language Models That Run On-Device,” Oluwatobi Olabiyi, senior engineering manager at NVIDIA, will present tools and techniques that developers and enthusiasts can use to generate, curate and distill a dataset — then train a small language model that can perform tasks designed for it.

Maximizing AI Performance on Windows Workstations
Optimizing AI inference and model execution on Windows-based workstations requires strategic software and hardware tuning due to diverse hardware configurations and software environments. The session “Optimizing AI Workloads on Windows Workstations: Strategies and Best Practices,” will explore best practices for AI optimization, including model quantization, inference pipeline enhancements and hardware-aware tuning.

A team of NVIDIA software engineers will also cover hardware-aware optimizations for ONNX Runtime, NVIDIA TensorRT and llama.cpp, helping developers maximize AI efficiency across GPUs, CPUs and NPUs.

Advancing Local AI Development
Building, testing and deploying AI models on local infrastructure ensures security and performance even without a connection to cloud-based services. Accelerated with NVIDIA RTX GPUs, Z by HP’s AI solutions provide the tools needed to develop AI on premises while maintaining control over data and IP

Dell Pro Max and NVIDIA: Unleashing the Future of AI Development: This session introduces Dell Pro Max PCs, performance laptops and desktops for professionals, powered by NVIDIA RTX GPUs. Discover how this powerful duo can help jumpstart AI initiatives and transform the way AI developers, data scientists, creators and power users innovate.
Develop and Observe Gen AI On-Prem With Z by HP GenAI Lab and AI Studio: This session demonstrates how Z by HP solutions simplify local model training and deployment, harnessing models in the NVIDIA NGC catalog and Galileo evaluation technology to refine generative AI projects securely and efficiently.
Supercharge Gen AI Development With Z by HP GenAI Lab and AI Studio: This session explores how Z by HP’s GenAI Lab and AI Studio enable on-premises LLM development while maintaining complete data security and control. Learn how these tools streamline the entire AI lifecycle, from experimentation to deployment, while integrating models available in the NVIDIA NGC catalog for collaboration and workflow efficiency.
Developers and enthusiasts can get started with AI development on RTX AI PCs and workstations using NVIDIA NIM microservices. Rolling out today, the initial public beta release includes the Llama 3.1 LLM, NVIDIA Riva Parakeet for automatic speech recognition (ASR), and YOLOX for computer vision.

NIM microservices are optimized, prepackaged models for generative AI. They span modalities important for PC development, and are easy to download and connect to via industry-standard application programming interfaces.

India’s Manufacturing PMI Reaches Six-Month High Amid Strong Demand

by EconomyLatest UpdatesTechnology

India’s manufacturing sector witnessed a strong start to 2025, rebounding from a period of moderated growth in December. With new orders rising at the fastest pace since last July, the sector benefitted from a sharp increase in exports, marking the steepest upturn in nearly 14 years, according to the HSBC India Manufacturing PMI for January.

The survey highlighted a stronger expansion in output, supported by robust domestic and international demand.

“India’s final manufacturing PMI reached a six-month high in January. Domestic and export demand contributed to the rise in new orders. The employment PMI indicated job creation in the manufacturing sector, with the index reaching its highest level since the series began. Input cost inflation eased for a second consecutive month, reducing the need for manufacturers to increase final output prices,” said Pranjul Bhandari, Chief India Economist at HSBC.

Cost pressures eased to their lowest level in 11 months, yet selling prices continued to rise due to buoyant demand and strengthened business confidence, the report stated.

The Purchasing Managers’ Index (PMI) rose from December’s 56.4 to 57.7 in January, indicating an expansion in the sector’s activity. The pace of growth was the highest since July and surpassed the long-term average. PMI values range between 0 and 100, with a reading above 50 indicating expansion compared to the previous month and below 50 indicating contraction.

Manufacturers reported an increase in new orders, citing improved domestic demand and growth in international sales. Total new business expanded at the fastest rate in six months.

International demand for Indian goods also strengthened in January, with panellists observing higher orders from various global markets. The growth rate in new export orders was the highest recorded in nearly 14 years, according to the PMI report.

As a result, manufacturers continued scaling up production volumes, with the latest increase being substantial and the fastest since October 2024.

The report also highlighted increased business confidence, with nearly 32 per cent of surveyed companies expecting growth in output, while only 1 per cent anticipated a decline.

Strong sales and positive market sentiment led companies to expand their workforce at the beginning of the fourth fiscal quarter (January-March), reinforcing expectations of sustained growth in the sector.

 

Taiwan Bans Government Departments From Using DeepSeek AI

by EconomyTechnology

Taiwan on Monday banned government departments from using Chinese startup DeepSeek’s artificial intelligence (AI) service as it was a security risk, toughening language from last week which said it should not be used.

Democratically governed Taiwan has long been wary of Chinese technology given Beijing’s sovereignty claims over the island and its military and political threats against the government in Taipei.

During a cabinet meeting, Taiwan Premier Cho Jung-tai said DeepSeek was banned from use in all government agencies “to ensure the country’s information security”, his office said in a statement.

There were also concerns about censorship on DeepSeek and the risk of data ending up in China, the statement said.

Taiwan’s digital ministry had said on Friday that government departments should not use DeepSeek, but did not specifically say it was banned.

Authorities in South Korea, France, Italy and Ireland and other countries have also been looking into DeepSeek’s use of personal data.

(Reuters)

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Gene therapy promises individualised management of disease for each patient

by Health and CommunityTechnology

Gene therapy promises individualised management of disease for each patient. Even if two individuals suffer from the same condition—be it cancer, kidney disease, or any other ailment—the treatment could be different in each case, guided by the individual’s unique genetic makeup, pre-existing susceptibilities and inherited vulnerabilities.”, stated Dr. Jitendra Singh, Union Minister of State (Independent Charge) for Science and Technology; Earth Sciences and Minister of State for PMO, Department of Atomic Energy, Department of Space, Personnel, Public Grievances and Pensions, while inaugurating the Centre for Advanced Genomics & Precision Medicine at AIIMS Jammu.

Set up in collaboration with 4 base Care, the Centre aims to usher in a new era of personalised medicine, leveraging cutting-edge genomic research to provide targeted treatment based on individual genetic profiles.

Underscoring the transformative potential of gene therapy, the Minister emphasised that with genomic advancements, doctors would no longer rely on a one-size-fits-all approach but would tailor treatments to maximise efficacy and specificity for each individual.

The newly launched Centre for Advanced Genomics & Precision Medicine places AIIMS Jammu among the frontrunners in India’s medical research landscape. By integrating genomic data with AI-driven diagnostics, the centre aims to enhance early disease detection, optimise treatment strategies, and reduce the trial-and-error approach in medical prescriptions. Experts at the event noted that this facility would play a pivotal role in advancing precision oncology, cardiovascular genomics, and genetic screening for rare disorders.

Dr. Jitendra Singh pointed out that under Prime Minister Narendra Modi’s leadership, India has prioritised technology-driven progress in the healthcare sector. He cited the government’s efforts in promoting indigenous research and biotechnology, highlighting the exponential growth in India’s bio-economy—from a mere $10 billion in 2014 to nearly $130 billion today, with an ambitious target of $300 billion in the near future. He further stated that with over 9,000 biotech startups compared to just 50 in 2014, India is rapidly emerging as a global leader in medical innovation.

The Minister stressed the need for an India-specific genomic database, highlighting the country’s unique genetic diversity. “India is a subcontinent in itself, with over 4,600 distinct demographic groups. Our gene sequencing efforts, which have already mapped 10,000 healthy individuals across 99 communities, will help create a robust dataset tailored to Indian-specific health challenges,” he said. He reaffirmed the government’s commitment to completing one million genome sequences in the coming years to enable more accurate disease prediction and personalised interventions.

Dr. Jitendra Singh also pointed out the resurgence of infectious diseases alongside the rise in non-communicable diseases, urging a hybrid approach combining traditional diagnostics with genetic insights. “India has already proven itself in preventive healthcare, pioneering innovations like the world’s first DNA-based COVID-19 vaccine and the HPV vaccine. With this new centre, we will further strengthen our ability to prevent, diagnose, and treat diseases using cutting-edge technology,” he said.

A key objective of the centre is to make precision medicine affordable and accessible to the masses. While personalised treatments have traditionally been costly, AIIMS Jammu aims to leverage indigenous research and government-backed biotech initiatives to bring down costs and integrate precision medicine into public healthcare programs.

The Minister highlighted initiatives like Ayushman Bharat, which has provided health coverage to millions, and the recently launched Bio-E3 policy, which focuses on biotechnology for economic growth, environmental sustainability, and employment generation. He stated that the government’s National Research Foundation (Anusandhan) will play a crucial role in funding next-generation research in genomics and personalised medicine.

Dr. Jitendra Singh elaborated on how Precision Medicine could be a game-changer for cancer treatment, enabling doctors to design targeted therapies instead of relying solely on conventional chemotherapy and radiation. He cited India’s recent success in conducting the first-ever genetic therapy trial for haemophilia at CMC Vellore, where patients showed a 60% improvement in clotting factor production, with zero bleeding episodes. The trial, acknowledged globally and published in the New England Journal of Medicine, underscores India’s rising stature in genetic research.

He also noted that genomic medicine would play a crucial role in tackling lifestyle diseases such as diabetes, which is now affecting younger age groups in India. A recent study found that the prevalence of Type 2 diabetes in Jammu is slightly higher than the national average, making AIIMS Jammu’s research even more critical in developing effective intervention strategies.

Dr. Jitendra Singh concluded his address by reaffirming the government’s vision of a Viksit Bharat by 2047, where healthcare is not only curative but also predictive and preventive. “This is just the beginning. The future of medicine is personalised, and India is well on its way to leading the world in genomic healthcare,” he said.

Earlier, in his welcome address, Director AIIMS Jammu, Dr Shakti Gupta was all praise for Dr Jitendra Singh for the setting up and continuous upgradation of AIIMS Jammu.

Dr YK Gupta President AIIMS and Dr V Srinivas Director AIIMS New Delhi also spoke on the occasion.