As part of the National Supercomputing Mission (NSM), the Telangana government is asking the Ministry of Electronics and Information Technology (MeitY) to set up a supercomputing facility with a 20 petaflop capacity in Hyderabad's projected Artificial Intelligence (AI) metropolis.
Supercomputer performance is measured in petaflops, which are units of one quadrillion (or 20,000 trillion) floating point operations per second. The NSM plans to build and operate 24 supercomputers with a total power of more than 64 petaflops throughout India.
Telangana's IT secretary, Jayesh Ranjan, said, "We have asked MeitY to set up this facility in Hyderabad's AI city. We are willing to donate the land required for this use. The amount of processing capacity available directly affects how far AI can advance. The Development Center of Advanced Computing (CDAC), a body under MeitY, has expressed interest in the project.
With a total capacity of more than 20 petaflops, CDAC has already deployed 11 systems under the first two stages of NSM at a number of institutions, including IISc, IITs, IISER Pune, JNCASR, NABI-Mohali, and CDAC itself. Magesh Ethirajan, the director general of CDAC, was not available for comment.
Telangana AI Mission (T-AIM) and CDAC inked a Memorandum of Understanding (MoU) in April of last year to give 142 AI entrepreneurs backed by T-AIM's Revv Up accelerator program access to reasonably priced high-performance AI computing. For a brief while, these businesses may utilize free access to India's most potent AI supercomputing facility, which offers 410 AI petaflops. These capabilities are available to startups for around one-third the price of private cloud services.
In line with the IndiaAI Mission, Ranjan stressed that Telangana's IT ministry will formally ask the union IT ministry for assistance in establishing the AI city. He said, "We will be meeting with ministers from the Government of India in Delhi to discuss this plan."
About 30 to 50 percent of the 200 acres that make up the proposed AI city would be left aside for businesses to establish AI centers. The remaining acreage will be developed into commercial spaces and computing facilities, which will be rented out to AI-focused businesses in exchange for internet, electricity, and rent subsidies.
Talks on establishing data centers in the AI city have also started with private businesses like Yotta, a data center service provider affiliated with the Hiranandani Group, and Intel, which runs more than 100,000 servers worldwide. Ranjan clarified, "We will permit them to set up their data centers for AI computing, including hosting graphics processing units (GPUs). "An R&D and incubation facility for agencies interested in AI research, development, and innovation is something else we plan to set up."
The AI city will also have a skilling center that will offer training for fundamental AI activities like data purification and annotation, as well as PhD-level education in AI. "Our goal is to create an all-encompassing environment for the advancement of AI," stated Ranjan.
Angular recently launched Angular 18, which brings several new features, including zoneless change detection, a new developer hub, and improved server-side rendering. This version focuses on stabilizing new APIs, responding to developer requests, and enhancing the developer experience.
Angular 18 now supports zoneless change detection experimentally, removing the need for zone.js. This aims to improve performance by reducing change detection cycles and providing clearer stack traces. Developers can try this new feature by adding a provider to their application bootstrap:
bootstrapApplication(App, {
providers: [
provideExperimentalZonelessChangeDetection()
]
});
Alex Rickabaugh, a senior software engineer at Google, expressed the importance of zoneless support in Angular 18, emphasizing the balance between maintaining stability and evolving with the modern web.
The official Angular documentation site, angular.dev, now includes a hands-on getting started guide, interactive playgrounds, updated guides, and easier navigation. All requests to angular.io now redirect to angular.dev.
Several features have become stable in Angular 18. Material 3 components are now stable, offering new themes and documentation. Deferrable views, which help improve Core Web Vitals, are now stable and allow developers to delay the loading of certain views. The new built-in control flow syntax also reaches stability, offering better performance and usability.
Server-side rendering (SSR) in Angular 18 is improved with i18n hydration support, enhanced debugging, and event replay using Google's event dispatch library. These improvements ensure a better and more interactive SSR experience.
Angular 18 allows developers to specify default content for ng-content
, providing fallback content in their components. For example:
@Component({
selector: 'app-profile',
template: `
Hello
Unknown user
`,
})
export class Profile {}
Using the component:
<app-profile>
<span class="greeting">Good morning </span>
</app-profile>
The output will be:
<span class="greeting">Good morning </span>
Unknown user
Angular forms now have an events
property, allowing developers to subscribe to a stream of events for form controls. For example:
const nameControl = new FormControl('name', Validators.required);
nameControl.events.subscribe(event => {
// Process individual events
});
Angular 18 also provides more flexibility with route redirects by allowing functions to return dynamic redirect routes. For example:
const routes: Routes = [
{ path: "first-component", component: FirstComponent },
{
path: "old-user-page",
redirectTo: ({ queryParams }) => {
const errorHandler = inject(ErrorHandler);
const userIdParam = queryParams['userId'];
if (userIdParam !== undefined) {
return `/user/${userIdParam}`;
} else {
errorHandler.handleError(new Error('Attempted navigation to user page without user ID.'));
return `/not-found`;
}
},
},
{ path: "user/:userId", component: OtherComponent },
];
Lastly, TypeScript 5.4 is updated by Angular 18 to enable developers to utilize the newest TypeScript capabilities and enhancements.
Microsoft's deal with OpenAI and Google's partnership with Samsung are under EU antitrust scrutiny, focusing on exclusivity clauses. EU competition chief Margrethe Vestager announced further inquiries to gather opinions from third parties.
These investigations reflect global regulatory concerns about Big Tech extending their influence into AI, similar to their dominance in other markets. In March, Vestager sent inquiries to major tech firms, including Microsoft, Google, Meta, and ByteDance, about their AI collaborations.
"We're reviewing responses and will follow up on Microsoft's agreement with OpenAI to see if exclusivity could harm competition," Vestager said at a conference. Reuters highlighted the potential for a formal investigation.
A Microsoft representative stated they are prepared to answer any additional questions from the European Commission. Vestager clarified that their partnership wouldn't fall under EU merger rules due to a lack of control, even though Microsoft has invested $13 billion in a for-profit OpenAI subsidiary for a 49% stake.
Vestager also expressed concern about large tech companies hindering smaller AI developers from accessing the market. Additionally, she mentioned Google's deal with Samsung to pre-install its Gemini Nano AI model on Galaxy S24 phones, which prompted further information requests.
Vestager is also examining "acqui-hires," where companies acquire others mainly for their talent, such as Microsoft's $650-million acquisition of startup Inflection. She emphasized ensuring that such practices don't bypass merger control rules if they lead to market concentration.
Amazon's AWS, the largest cloud computing company globally, is urging the public sector to embrace artificial intelligence (AI). As competition with Microsoft and Google intensifies, AWS believes AI can significantly improve public services such as health, security, and nonprofit work.
Convincing governments and nonprofits to adopt AI is more challenging than persuading private companies. To help, AWS has launched a $50 million, two-year fund to let public sector organizations test AI ideas.
The public sector is already a crucial market for cloud computing. AWS supports 7,500 government agencies, 14,000 academic institutions, and 85,000 nonprofits in 215 countries. The new initiative will offer these groups cloud computing credits, training, and technical support for AI projects.
Dave Levy, AWS's vice president for the global public sector, said there are many promising AI ideas and use cases, but implementing them requires support. He emphasized this ahead of an AWS summit in Washington aimed at the public sector.
As Microsoft and Google also aim to attract public sector clients, the competition heats up. Generative AI, like the technology behind ChatGPT, can create high-quality content from large data sets, which the public sector has in abundance.
AWS's Bedrock platform offers clients access to various AI models, such as Anthropic's Claude, for custom AI tools and applications. Levy believes AI's benefits will outweigh the challenges, citing examples like Boston's Dana-Farber Cancer Institute using AI to interpret lab results and Britain's Swindon Borough Council using AI to simplify leasing agreements.
Currently, generative AI depends on cloud computing. The industry bets that as public agencies see AI's potential, it will drive growth and cloud adoption.
AWS's initiative aims to make it easier for public organizations to experiment with AI, addressing concerns about the technology's unpredictability. Although AI is expected to revolutionize computing, it has had its share of issues, which can make government clients cautious.
Ryan Cox from Synechron highlights that AI can streamline tasks, improve services, and save costs in the public sector. However, challenges include data privacy, ethical issues, integrating with existing systems, and maintaining public trust. The high long-term costs of AI, due to its large-scale computing needs, are also a concern.
AWS differentiates itself by prioritizing security and ensuring AI readiness for deployment.