AI Research

Hungary Boosts AI Research with New Supercomputer at University of Szeged

Published

8 hours ago

July 9, 2025

Hungary Boosts AI Research with New Supercomputer at University of Szeged – Hungarian Conservative

A state-of-the-art supercomputer designed for artificial intelligence research has been installed at the University of Szeged, marking a major step in Hungary’s digital innovation strategy and boosting its global presence in AI development.

Hungary has taken a major step toward becoming a significant player in artificial intelligence (AI) research with the installation of a cutting-edge supercomputer at the University of Szeged (SZTE). The high-performance system, unveiled on Tuesday, is optimized specifically for AI-focused scientific work and brings the university into the ranks of elite global research institutions.

Government Commissioner for Artificial Intelligence László Palkovics hailed the investment as a transformative milestone. ‘This supercomputer is our entry ticket into a world typically beyond the reach of countries the size of Hungary,’ he said at the inauguration event.

The university has acquired 1.75 petaflops of computing capacity, with additional access to more powerful resources managed by Hewlett Packard Enterprise (HPE), which supplied the technology. According to Palkovics, Hungary has also partnered with Europe’s largest supercomputing centre in Jülich, Germany, to secure access to 10 petaflops of computing power, with the possibility of scaling further. Hungarian-owned computing infrastructure may also be hosted at the German site to provide access to its full capacity when needed.

In a further development, German tech company ParTec AG announced plans for a 3 billion euro investment to build a new data centre in Hungary, which is expected to eventually double the capacity of the Jülich facility. Energy security, political stability, and Hungary’s skilled labour pool were cited as key reasons for selecting the country as the site.

László Bódis, Deputy State Secretary for Innovation at the Ministry of Culture and Innovation, noted that the University of Szeged is a leader in developing Hungary’s innovation ecosystem, contributing both public funding and its own resources. He highlighted ongoing projects such as the Science Park, industrial academic partnerships with pharmaceutical firms, and nuclear waste treatment research.

Managing Director of HPE Hungary Tibor Szpisják emphasized that the supercomputer in Szeged employs the same top-tier technology used by the fastest systems in Europe and among the top three globally. He explained that the supercomputer’s performance can expand indefinitely as more services migrate onto the system.

During the event, SZTE and HPE signed a strategic agreement covering joint research and education initiatives. Szpisják expressed optimism that their shared laboratory will bring new products and services to market.

According to Director of IT Services at SZTE Csaba Fekete the system is tailored for solving complex AI challenges in fields such as medicine, genomics, language models, and transportation. The partnership also gives researchers scalable access to HPE’s cloud computing resources based on project needs.

The total cost of the IT investment was 1.2 billion forints (approx. 3 million euros), with operational costs estimated at 800 million forints over the next five years.

Related articles:

Ádám Bráder graduated from the Faculty of Humanities of Eötvös Loránd University in 2021 as an English major specializing in English in the Media and Applied Linguistics. From 2017, he worked as an assistant editor at TV2’s news programme. After graduating, he continued his work as an online journalist, which led to him joining the Hungarian Conservative team in 2022.

Source link

AI Research

E-research library with AI tools to assist lawyers | Delhi News

Published

39 minutes ago

July 9, 2025

The Editors

New Delhi: In an attempt to integrate legal work in courts with artificial intelligence, Bar Council of Delhi (BCD) has opened a one-of-its-kind e-research library at the Rouse Avenue courts. Inaugurated on July 5 by law minister Kapil Mishra, the library has various software to assist lawyers in their legal work. With initial funding of Rs 20 lakh, BCD functionaries told TOI that they are also planning the expansion of the library to be accessed from anywhere.Named after former BCD chairman BS Sherawat, the library boasts an integrated system, including the legal research platform SCC Online, the legal research online database Manupatra, and an AI platform, Lucio, along with several e-books on law across 15 desktops.Advocate Neeraj, president of Central Delhi Bar Court Association, told TOI, “The vision behind this initiative is to help law practitioners in their research. Lawyers are the officers of the honourable court who assist the judicial officer to reach a verdict in cases. This library will help lawyers in their legal work. Keeping that in mind, considering a request by our association, BCD provided us with funds and resources.”The library, which runs from 9:30 am to 5:30 pm, aims to develop a mechanism with the help of the evolution of technology to allow access from anywhere in the country. “We are thinking along those lines too. It will be good if a lawyer needs some research on some law point and can access the AI tools from anywhere; she will be able to upgrade herself immediately to assist the court and present her case more efficiently,” added Neeraj.Staffed with one technical person and a superintendent, the facility will incur around Rs 1 lakh per month to remain functional.With pendency in Delhi district courts now running over 15.3 lakh cases, AI tools can help law practitioners as well as the courts. Advocate Vikas Tripathi, vice-president of Central Delhi Court Bar Association, said, “Imagine AI tools which can give you relevant references, cite related judgments, and even prepare a case if provided with proper inputs. The AI tools have immense potential.”In July 2024, ‘Adalat AI’ was inaugurated in Delhi’s district courts. This AI-driven speech recognition software is designed to assist court stenographers in transcribing witness examinations and orders dictated by judges to applications designed to streamline workflow. This tool automates many processes. A judicial officer has to log in, press a few buttons, and speak out their observations, which are automatically transcribed, including the legal language. The order is automatically prepared.The then Delhi High Court Chief Justice, now SC Judge Manmohan, said, “The biggest problem I see judges facing is that there is a large demand for stenographers, but there’s not a large pool available. I think this app will solve that problem to a large extent. It will ensure that a large pool of stenographers will become available for other purposes.” At present, the application is being used in at least eight states, including Kerala, Karnataka, Andhra Pradesh, Delhi, Bihar, Odisha, Haryana and Punjab.

Source link

AI Research

Enterprises will strengthen networks to take on AI, survey finds

Published

1 hour ago

July 9, 2025

Denise Dubie

Private data centers: 29.5%
Traditional public cloud: 35.4%
GPU as a service specialists: 18.5%
Edge compute: 16.6%

“There is little variation from training to inference, but the general pattern is workloads are concentrated a bit in traditional public cloud and then hyperscalers have significant presence in private data centers,” McGillicuddy explained. “There is emerging interest around deploying AI workloads at the corporate edge and edge compute environments as well, which allows them to have workloads residing closer to edge data in the enterprise, which helps them combat latency issues and things like that. The big key takeaway here is that the typical enterprise is going to need to make sure that its data center network is ready to support AI workloads.”

AI networking challenges

The popularity of AI doesn’t remove some of the business and technical concerns that the technology brings to enterprise leaders.

According to the EMA survey, business concerns include security risk (39%), cost/budget (33%), rapid technology evolution (33%), and networking team skills gaps (29%). Respondents also indicated several concerns around both data center networking issues and WAN issues. Concerns related to data center networking included:

Integration between AI network and legacy networks: 43%
Bandwidth demand: 41%
Coordinating traffic flows of synchronized AI workloads: 38%
Latency: 36%

WAN issues respondents shared included:

Complexity of workload distribution across sites: 42%
Latency between workloads and data at WAN edge: 39%
Complexity of traffic prioritization: 36%
Network congestion: 33%

“It’s really not cheap to make your network AI ready,” McGillicuddy stated. “You might need to invest in a lot of new switches and you might need to upgrade your WAN or switch vendors. You might need to make some changes to your underlay around what kind of connectivity your AI traffic is going over.”

Enterprise leaders intend to invest in infrastructure to support their AI workloads and strategies. According to EMA, planned infrastructure investments include high-speed Ethernet (800 GbE) for 75% of respondents, hyperconverged infrastructure for 56% of those polled, and SmartNICs/DPUs for 45% of surveyed network professionals.

Source link

AI Research

Amazon Web Services builds heat exchanger to cool Nvidia GPUs for AI

Published

1 hour ago

July 9, 2025

Jordan Novet

The letters AI, which stands for “artificial intelligence,” stand at the Amazon Web Services booth at the Hannover Messe industrial trade fair in Hannover, Germany, on March 31, 2025.

Julian Stratenschulte | Picture Alliance | Getty Images

Amazon said Wednesday that its cloud division has developed hardware to cool down next-generation Nvidia graphics processing units that are used for artificial intelligence workloads.

Nvidia’s GPUs, which have powered the generative AI boom, require massive amounts of energy. That means companies using the processors need additional equipment to cool them down.

Amazon considered erecting data centers that could accommodate widespread liquid cooling to make the most of these power-hungry Nvidia GPUs. But that process would have taken too long, and commercially available equipment wouldn’t have worked, Dave Brown, vice president of compute and machine learning services at Amazon Web Services, said in a video posted to YouTube.

“They would take up too much data center floor space or increase water usage substantially,” Brown said. “And while some of these solutions could work for lower volumes at other providers, they simply wouldn’t be enough liquid-cooling capacity to support our scale.”

Rather, Amazon engineers conceived of the In-Row Heat Exchanger, or IRHX, that can be plugged into existing and new data centers. More traditional air cooling was sufficient for previous generations of Nvidia chips.

Customers can now access the AWS service as computing instances that go by the name P6e, Brown wrote in a blog post. The new systems accompany Nvidia’s design for dense computing power. Nvidia’s GB200 NVL72 packs a single rack with 72 Nvidia Blackwell GPUs that are wired together to train and run large AI models.

Computing clusters based on Nvidia’s GB200 NVL72 have previously been available through Microsoft or CoreWeave. AWS is the world’s largest supplier of cloud infrastructure.

Amazon has rolled out its own infrastructure hardware in the past. The company has custom chips for general-purpose computing and for AI, and designed its own storage servers and networking routers. In running homegrown hardware, Amazon depends less on third-party suppliers, which can benefit the company’s bottom line. In the first quarter, AWS delivered the widest operating margin since at least 2014, and the unit is responsible for most of Amazon’s net income.

Microsoft, the second largest cloud provider, has followed Amazon’s lead and made strides in chip development. In 2023, the company designed its own systems called Sidekicks to cool the Maia AI chips it developed.

WATCH: AWS announces latest CPU chip, will deliver record networking speed

Source link