logo
High-Speed Entry: Doors to 6GHz Band Opening Partially

High-Speed Entry: Doors to 6GHz Band Opening Partially

Time of India20-05-2025
Live Events
Consumers are set to get speed and better capacity on home WiFi networks, with the government deciding to delicense the lower portion of the 6 GHz spectrum band, making another 500 MHz of airwaves available.The Department of Telecommunications (DoT) has posted draft rules, with comments sought by June 15, after which the framework will be finalised.Experts said the 6 GHz band can offer data speeds of up to 9.6 gigabits per second (Gbps), against 1.3 Gbps in the 5 GHz band and 600 megabit per second (Mbps) in the 2.4 GHz band. Over 84 countries, including the US, UK and South Korea, have already delicensed the 6 GHz band for WiFi services.WiFi services are currently offered in India through the 2.4 GHz and 5 GHz bands. These are congested and offer limited speeds and capacity for data-heavy applications such as online gaming, internet of things, assisted reality and virtual reality, etc.Opening up the new band will also allow the latest WiFi routers working on 6 GHz to be used in India. Gaming consoles such as Sony Playstation 5 Pro — which couldn't be launched locally due to non-availability of required airwaves — can also be unveiled soon, added experts.The delicensing, or allotment of airwaves without auctions, will pave the way for deployment of next-generation technologies such as WiFi 6E and 7 in India and is seen as a big win for technology companies such as Meta, Google, Amazon and Qualcomm, experts said. It was a key demand of the tech industry to meet surging bandwidth requirements at affordable rates.The 6 GHz, which is mid-band, comprises 1,200 MHz of spectrum, ranging from 5,925 to 7,125 MHz. DoT had earlier earmarked the upper portion of the band (6,425-7,125 MHz) for 4G and 5G. Now the lower portion—5,925-6,425 MHz—has been delicensed for WiFi use.Telcos had pushed for the entire 6 GHz airwaves to be set aside for mobile broadband services, citing lack of spectrum and the band's characteristics of offering a balance of wide coverage and capacity, which could have provided cost-efficient 5G deployment. The tech industry was also seeking delicensing of the entire band. DoT has chosen a middle ground.According to the draft rules notified by DoT, no authorisation or frequency assignment shall be required to establish, maintain, work, possess or deal in any wireless equipment for the purpose of lower power indoor and very low power outdoor wireless access systems, including radio local area networks operating in the 5,925-6,425 MHz frequency band.Stakeholders can submit objections or suggestions by June 15, after which the final rules will be notified. The telcos aren't too happy with the partial opening, but are unlikely to challenge DoT legally as WiFi and fixed broadband are key target areas for them too, pointed out industry executives.The Broadband India Forum (BIF), which has Amazon, Google, Meta, Qualcomm and Netflix among its members, said the delicensing was a long-overdue and much-needed first step toward unlocking the potential of the 6 GHz band, but sought an additional 160 MHz of waves.
Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

Meta names ChatGPT co-creator Shengjia Zhao as Chief Scientist of superintelligence lab
Meta names ChatGPT co-creator Shengjia Zhao as Chief Scientist of superintelligence lab

Time of India

time2 hours ago

  • Time of India

Meta names ChatGPT co-creator Shengjia Zhao as Chief Scientist of superintelligence lab

Meta Platforms has appointed Shengjia Zhao , co-creator of ChatGPT , as chief scientist of its Superintelligence Lab , CEO Mark Zuckerberg said on Friday, as the company accelerates its push into advanced AI. "In this role, Shengjia will set the research agenda and scientific direction for our new lab working directly with me and Alex," Zuckerberg wrote in a Threads post, referring to Meta's Chief AI Officer Alexandr Wang, who Zuckerberg hired from startup Scale AI when Meta took a big stake in it. Zhao, a former research scientist at OpenAI , co-created ChatGPT, GPT-4 and several of OpenAI's mini models, including 4.1 and o3. He is among several researchers who have moved from OpenAI to Meta in recent weeks, part of a broader talent arms race as Zuckerberg aggressively hires from rivals to close the gap in advanced AI. Meta has been offering some of Silicon Valley's most lucrative pay packages and striking startup deals to attract top researchers, a strategy that follows the underwhelming performance of its Llama 4 model. Meta launched the Superintelligence Lab recently to consolidate work on its Llama models and long-term artificial general intelligence ambitions. Zhao is a co-founder of the lab, according to the Threads post, which operates separately from FAIR, Meta's established AI research division led by deep learning pioneer Yann LeCun. Zuckerberg has said Meta aims to build "full general intelligence" and release its work as open source - a strategy that has drawn both praise and concern within the AI community.

No hiring in India: Could Trump's new push disrupt tech jobs?
No hiring in India: Could Trump's new push disrupt tech jobs?

India Today

time2 hours ago

  • India Today

No hiring in India: Could Trump's new push disrupt tech jobs?

Donald Trump has called on Google, Apple, and other US tech giants to stop hiring in India and prioritise Americans instead. The statement, though not yet a policy, has triggered concern across India's white-collar job sector, especially among engineering and management graduates aiming for roles in global tech enforced, the impact could be sharp: from IIT placement trends to mid-level tech hiring, from GCC operations to India's growing dependence on global companies for high-skilled and Wisdom Hatch Founder Akshat Shrivastava said on X that the chances for Indian jobseekers are LET'S UNDERSTAND HOW THE HIRING WORKS American tech companies don't just hire from India. Some also build in India, including the Google, Apple, and Microsoft, all have large operations here, often in the form of Global Capability Centres (GCCs).These giants maintain a presence in India where professionals are at the task of building products, writing code, testing machines, overseeing global employs around 10,000 people in India. Microsoft has over 18,000 employees here. These are for operations across the has around 5,000 direct employees in India, and thousands more in its supplier network and development of these jobs are not for call centres or support. The core development roles, white-collar positions, are in play that attract graduates from IITs, NITs, IIITs, and even Tier-2 colleges.A pronounced number of these roles are built for India but are part of global projects. And yes, some top-tier students are hired directly to go to the US exactly the pipe Trump wants to close."There's no denying that companies like Google and Apple have long symbolised the 'dream job' for many Indian students, and rightfully so. Indian talent has been a major contributor to the global tech revolution, not just as employees but as leaders," says Neelakantha Bhanu, Founder and CEO of Bhanzu, and title holder of 'World's Fastest Human Calculator'."However, if such hiring freezes become a reality, it will be a wake-up call, not in fear, but in perspective," he says."The world is changing, and so are opportunities. India today is not just a source of talent, but a builder of global products," Bhanu adds. WHAT HAPPENS TO IIT AND IIM PLACEMENTS?Every December, the buzz begins: placement season. But behind the success stories, there's a truth not often told -- many students don't land dream IITians, despite the brand tag, end up in jobs that pay Rs 8-10 lakh per annum or less. Not because they aren't brilliant. But because not everyone gets picked by Google, Microsoft, or a US -- based startup with a fancy from IITs from 2023-2024 show that even in top IITs, 20-25% of students were still unplaced at the end of the obtained through RTI requests filed by IIT Kanpur alumnus Dheeraj Singh shows that nearly 8,000 students, around 38% across 23 IITs, remain unplaced in the year IIMs, especially the older ones, place most students in India-based roles, consulting, banking, and management BIG PICTURE: INDIA'S WHITE-COLLAR WALL COULD CRACKTrump's statement comes at a time when India is producing more engineers than it can absorb. Private colleges, deemed universities, and even Tier-1 institutes are churning out thousands of tech graduates each year. But demand has 51.25% of graduates amongst the graduates in India are considered employable, highlighting persistent gaps in vocational training and skill development, as per the Economic Survey turns out nearly 15 lakh engineering graduates each year, yet only 10-15% among them find employment, as noted in a report by has kept things afloat over the past decade is the globalisation of Indian tech talent. US -- Mbased hiring, remote work, global team integration, and GCC expansion have created a top 10% of tech graduates, those who would go abroad or work on US -- facing roles from India, may have to compete in a shrinking domestic market. And this creates a domino effect down the ladder."If US tech companies stop hiring from India, it'll cost them more than us. India has long been their strongest talent pool, from engineers to CEOs. Some students may miss out on overseas roles, but fewer than 2% of IIT graduates go abroad now," says Nishant Chandra, Co-founder, Newton School."Most choose to stay and lead from India. This shift could actually benefit us by putting focus on skills over pedigree," he SMALLER STARTUPS FOLLOW SUIT?Possibly. If the bigger players hit pause, mid-sized companies may rethink their hiring plans too, especially those who build for US clients or rely on US venture capital. And in India's startup ecosystem, perception drives could delay hiring cycles, reduce internship opportunities, and force more candidates to settle for lower Group Founder Ankur Agarwal, a top executive search firm, sums it up: 'These Trump rules, if enforced strictly, will definitely impact placements in IITs as the top US companies recruit quite a bit from these campuses for their US -- based tech development. IIMs are usually used to hire for India roles only, so they will not be impacted.""The real impact will be felt by the GCCs, though, which have become an important recruiter for top quartile tech talent. However, the actual impact will depend on how strictly companies comply with this directive and whether it becomes formal policy, as the US still faces significant tech talent shortages that make complete elimination of overseas hiring challenging," he NEXT?Nobody knows if Trump's statement will become law. But it's already a signal."Our institutions, our ecosystems, and our ambitions are ready. And as someone who chose to stay and build here, I can say that there's never been a more exciting time to be in India. We're not just producing global talent anymore. We're producing global solutions," says time to prepare is now, not just with coding skills, but with adaptability, global exposure, and maybe even a Plan B that doesn't rely on a Silicon Valley zip code.- Ends advertisement

The new chips designed to solve AI's energy problem
The new chips designed to solve AI's energy problem

Mint

time3 hours ago

  • Mint

The new chips designed to solve AI's energy problem

'I can't wrap my head around it," says Andrew Wee, who has been a Silicon Valley data-center and hardware guy for 30 years. The 'it" that has him so befuddled—irate, even—is the projected power demands of future AI supercomputers, the ones that are supposed to power humanity's great leap forward. Wee held senior roles at Apple and Meta, and is now head of hardware for cloud provider Cloudflare. He believes the current growth in energy required for AI—which the World Economic Forum estimates will be 50% a year through 2030—is unsustainable. 'We need to find technical solutions, policy solutions and other solutions that solve this collectively," he says. To that end, Wee's team at Cloudflare is testing a radical new kind of microchip, from a startup founded in 2023, called Positron, which has just announced a fresh round of $51.6 million in investment. These chips have the potential to be much more energy efficient than ones from industry leader Nvidia at the all-important task of inference, which is the process by which AI responses are generated from user prompts. While Nvidia chips will continue to be used to train AI for the foreseeable future, more efficient inference could collectively save companies tens of billions of dollars, and a commensurate amount of energy. There are at least a dozen chip startups all battling to sell cloud-computing providers the custom-built inference chips of the future. Then there are the well-funded, multiyear efforts by Google, Amazon and Microsoft to build inference-focused chips to power their own internal AI tools, and to sell to others through their cloud services. The intensity of these efforts, and the scale of the cumulative investment in them, show just how desperate every tech giant—along with many startups—is to provide AI to consumers and businesses without paying the 'Nvidia tax." That's Nvidia's approximately 60% gross margin, the price of buying the company's hardware. Nvidia is very aware of the growing importance of inference and concerns about AI's appetite for energy, says Dion Harris, a senior director at Nvidia who sells the company's biggest customers on the promise of its latest AI hardware. Nvidia's latest Blackwell systems are between 25 and 30 times as efficient at inference, per watt of energy pumped into them, as the previous generation, he adds. To accomplish their goals, makers of novel AI chips are using a strategy that has worked time and again: They are redesigning their chips, from the ground up, expressly for the new class of tasks that is suddenly so important in computing. In the past, that was graphics, and that's how Nvidia built its fortune. Only later did it become apparent graphics chips could be repurposed for AI, but arguably it's never been a perfect fit. Jonathan Ross is chief executive of chip startup Groq, and previously headed Google's AI chip development program. He says he founded Groq (no relation to Elon Musk's xAI chatbot) because he believed there was a fundamentally different way of designing chips—solely to run today's AI models. Groq claims its chips can deliver AI much faster than Nvidia's best chips, and for between one-third and one-sixth as much power as Nvidia's. This is due to their unique design, which has memory embedded in them, rather than being separate. While the specifics of how Groq's chips perform depends on any number of factors, the company's claim that it can deliver inference at a lower cost than is possible with Nvidia's systems is credible, says Jordan Nanos, an analyst at SemiAnalysis who spent a decade working for Hewlett Packard Enterprise. Positron is taking a different approach to delivering inference more quickly. The company, which has already delivered chips to customers including Cloudflare, has created a simplified chip with a narrower range of abilities, in order to perform those tasks more quickly. The company's latest funding round came from Valor Equity Partners, Atreides Management and DFJ Growth, and brings the total amount of investment in the company to $75 million. Positron's next-generation system will compete with Nvidia's next-generation system, known as Vera Rubin. Based on Nvidia's road map, Positron's chips will have two to three times better performance per dollar, and three to six times better performance per unit of electricity pumped into them, says Positron CEO Mitesh Agrawal. Competitors' claims about beating Nvidia at inference often don't reflect all of the things customers take into account when choosing hardware, says Harris. Flexibility matters, and what companies do with their AI chips can change as new models and use cases become popular. Nvidia's customers 'are not necessarily persuaded by the more niche applications of inference," he adds. Cloudflare's initial tests of Positron's chips were encouraging enough to convince Wee to put them into the company's data centers for more long-term tests, which are continuing. It's something that only one other chip startup's hardware has warranted, he says. 'If they do deliver the advertised metrics, we will open the spigot and allow them to deploy in much larger numbers globally," he adds. By commoditizing AI hardware, and allowing Nvidia's customers to switch to more-efficient systems, the forces of competition might bend the curve of future AI power demand, says Wee. 'There is so much FOMO right now, but eventually, I think reason will catch up with reality," he says. One truism of the history of computing is that whenever hardware engineers figure out how to do something faster or more efficiently, coders—and consumers—figure out how to use all of the new performance gains, and then some. Mark Lohmeyer is vice president of AI and computing infrastructure for Google Cloud, where he provides both Google's own custom AI chips, and Nvidia's, to Google and its cloud customers. He says that consumer and business adoption of new, more demanding AI models means that no matter how much more efficiently his team can deliver AI, there is no end in sight to growth in demand for it. Like nearly all other big AI providers, Google is making efforts to find radical new ways to produce energy to feed that AI—including both nuclear power and fusion. The bottom line: While new chips might help individual companies deliver AI more efficiently, the industry as a whole remains on track to consume ever more energy. As a recent report from Anthropic notes, that means energy production, not data centers and chips, could be the real bottleneck for future development of AI. Write to Christopher Mims at

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into a world of global content with local flavor? Download Daily8 app today from your preferred app store and start exploring.
app-storeplay-store