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Is xAI a neocloud now?

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On Wednesday, xAI and Anthropic announced a surprise partnership that has the Claude-maker buying out “all of the compute capacity at [xAI’s] Colossus 1 data center,” roughly 300MW that allowed Anthropic to immediately raise its usage limits. It’s a huge deal for xAI, likely worth billions of dollars. More importantly, it immediately monetized one of the company’s most impressive accomplishments, turning xAI from a consumer to a provider of compute. 

It’s tempting to see the arrangement as a shot at OpenAI amid the ongoing lawsuit. But Musk’s explanation on X was that xAI had already moved training to a newer data center, Colossus 2, and xAI simply didn’t need the both. 

In the short term, there’s an obvious logic at work. xAI’s existing products are mostly focused on Grok, which has seen plummeting usage since the image generation debacles earlier this year. If xAI’s data center buildout is that much more than what Grok needs to operate, partnering with Anthropic adds a lot of green to the balance sheet. This is especially useful as the company, now combined with SpaceX, speeds towards an IPO. More broadly, having Anthropic lined up as a customer makes it easier to believe that SpaceX’s orbital data center play might actually work. 

But beyond the short-term benefit, the Anthropic partnership sends an unusual message about where Elon Musk’s priorities really lie. It suggests the company’s real business may be more about building data centers than training AI models. 

It’s rare to see a major tech company treat compute resources this way when companies like Google, Meta who are also training models, are building more data centers. It’s an easy point to miss, because so many of these companies are working as enterprise AI vendors, online services and cloud providers all at once. But when forced to make a choice between selling more available compute to customers and preserving some to build their own tools, they reliably choose door #2. 

Just last month, Sundar Pichai admitted on a call that Google Cloud revenue was lower than it could have been because the company was “capacity constrained” — and when given the choice of renting out their GPUs or using them to develop AI products, Google chose the AI products. 

Facebook has faced a more extreme version of the same constraint, spinning up an entirely new cloud apparatus just to ensure they would have enough GPU power to chase Zuckerberg’s AI ambition. As he put it when announcing Meta Compute in January, “How we engineer, invest, and partner to build this infrastructure will become a strategic advantage.” 

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The key word there is “strategic.” Both Zuckerberg and Pichai are looking towards a future where AI is powering the most popular and lucrative systems in the world. Computing power isn’t just a way to satisfy today’s inference demand, but to build tomorrow’s products — and running short on compute means missing out on that chance.  

By focusing on data centers (earthbound and otherwise), xAI is positioning itself more like a neocloud business: buying GPUs from Nvidia and renting them out to model developers like Anthropic. It’s a far more difficult business, squeezed by both chip suppliers and the shifting cycles of demand. The valuations for most active neoclouds reflect that reality: xAI was valued at $230 billion in its January funding round; Coreweave, which oversees a comparable quantity of computing power, is worth less than a third of that. 

Musk’s version of a neocloud is more ambitious, as you might expect. Some of the data centers might be in space — at least by 2035, if things go according to plan. xAI will be making its own chips at the Terafab, which will take away some but not all of Nvidia’s pricing power. But none of it changes the basic economics of the neocloud business. 

As recently as the February all-hands, xAI had real ambitions in software. That was the presentation that unveiled the orbital data center project, but it also teased significant ambitions in coding (since bolstered by the Cursor partnership) and interesting ideas like leveraging computer use into full-scale digital twins (in the unfortunately named Macrohard project). These are the kind of long-horizon projects that need committed computing resources to succeed. As long as xAI is selling large quantities of compute to its competitors, it’s hard to think such new ambitions have much of a future.

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NCC seek stronger cyber resilience as AI intensifies cyber threats

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The Nigerian Communications Commission (NCC) has called for stronger collaboration, improved digital security infrastructure and effective policies to address emerging cyber threats driven by Artificial Intelligence (AI).

Dr Aminu Maida, Executive Vice-Chairman of the NCC, made the call at the second edition of the International Cybersecurity Conference (ICSC), held on Tuesday in Abuja.

The theme of the conference was, “Cyber Resilience in the Age of AI: Defending Minds, Networks and Nation”.

Maida said AI had significantly increased the sophistication, speed and scale of cyberattacks, making cybersecurity a national imperative.

He said telecommunications infrastructure had become central to Nigeria’s digital economy, supporting financial transactions, communications, public services and business operations, thereby making its protection critical to national security.

He said cyber resilience went beyond preventing attacks to developing the capacity to anticipate, withstand and recover from disruptions while ensuring the continuity of essential services and economic activities.

According to him, emerging threats include AI-driven phishing, automated credential attacks, deepfakes designed to bypass authentication systems and malware capable of modifying itself to evade detection.

“The recent international cybersecurity incidents involving attacks on supermarket refrigeration systems in France and spyware targeting journalists and media personnel in the Middle East underscore the need for stronger digital defences.

“Section 4 of the Nigerian Communications Act, 2003, mandates the commission to protect consumer rights, safeguard national interests and promote the safety and efficiency of communications infrastructure.

“We have established the NCC Computer Security Incident Response Team (NCC-CSIRT) to monitor threats, facilitate intelligence sharing and coordinate responses to cybersecurity incidents across the telecommunications sector,” he said.

Maida said that the commission’s cyber resilience framework for the Nigerian communications sector provided common security standards for licensed operators and strengthened coordination with the national Computer Emergency Response Team, (ngCERT).

“There are three critical areas for strengthening cyber resilience. They include protecting human minds through cybersecurity awareness.

“There is also securing networks through robust security architecture, and defending the nation through collaboration among regulators, telecommunications operators, financial institutions and security agencies,” he said.

He urged telecommunications operators to adopt Zero Trust Architecture, which requires continuous verification of users and systems, while ensuring that AI models integrated into network operations were regularly assessed for vulnerabilities.

The National Security Adviser (NSA), Malam Nuhu Ribadu, said that digital development and national security could no longer be treated as separate priorities.

Ribadu was represented by Prof. Gerald Ilukwe from the Office of the National Security Adviser (ONSA) .

He said that AI presented opportunities for strengthening cyber defences but could also enable criminals to develop sophisticated scams, clone voices and spread false information.

He urged Nigerians to verify identities and authenticate suspicious requests before taking action.

“There is a need to secure digital supply chains, including AI models, data services and third-party technology providers.

“Vulnerabilities within one organisation can compromise other institutions and critical national infrastructure.

Ribadu said that the ONSA, through the National Cyber Security Coordination Centre, was strengthening coordination among relevant institutions and providing tools, laboratories and cyber ranges to analyse threats, investigate incidents and test response capabilities.

He said that a review of the National Cybersecurity Policy and Strategy, last updated in 2021, was underway to address emerging challenges, including AI-enabled fraud, supply-chain vulnerabilities, workforce development and international cooperation

“Recommendations from the conference will contribute to the ongoing review. The revised strategy will establish measurable priorities, promote accountability and strengthen the country’s capacity to respond to cyber incidents,” he said.

Rep. Ayodeji Stanley, Chairman, House of Representatives Committee on ICT and Cybersecurity, described cybersecurity as a moving target that required continuous innovation, adaptable legislation and international cooperation.

Stanley drew on his experience working on complex information technology systems in the United States.

He said the transition from traditional computing to cloud technologies had introduced new security challenges, requiring continuous improvements in protection mechanisms.

He urged policymakers, security experts and technology practitioners to develop forward-looking solutions that would protect critical systems across sectors, including food security.

Stanley said that cyberattacks could have consequences beyond the disruption of digital services.

He called for a collective global response to cyber threats, saying countries must work together to develop effective policies and innovative approaches capable of addressing the rapidly changing cybersecurity landscape.

(NAN)

The post NCC seek stronger cyber resilience as AI intensifies cyber threats appeared first on Business Today NG.

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Upwind raises $400M after walking away from Datadog acquisition offer

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Upwind, a San Francisco startup that uses AI to secure cloud infrastructure, has raised a $400 million Series C round at a $3.8 billion valuation led by Bessemer Venture Partners, with participation from existing backers including Greylock Partners and Craft Ventures.

The round comes nine months after Upwind closed its previous $250 million financing at a $1.5 billion valuation.

The fresh funding, which has been in the works for months, nearly fell apart after Datadog attempted to buy the company, according to a person familiar with Upwind. Datadog is a publicly traded company that sells tools for monitoring how software runs, known as observability. It didn’t offer a premium above the $3.8 billion valuation set by venture capital investors, the person said, so Upwind decided to stay independent.

Four-year-old Upwind has grown rapidly amid rising AI-driven cybersecurity threats. The startup has been adding $20 million to $30 million in annualized recurring revenue (ARR) each quarter and is projected to end the year at roughly $90 million, according to a person familiar with Upwind’s financials. That means that VCs and Datadog valued the startup at more than 40 times its forecast ARR, a common yardstick for pricing software companies. The high multiple is also well below the 80x ARR fetched by Cyera, another fast-growing cybersecurity startup, according to TechCrunch reporting from earlier this year.

Cybersecurity is poised to be the third big wave of AI software that companies will pay for after AI coding tools and customer support, Theory Ventures general partner Tomasz Tunguz recently wrote in his widely read blog.

By walking away from an acquisition offer, Upwind clearly believes that the company will ultimately be worth more than the $3.8 billion that Datadog was ready to pay for it. However, given how few cybersecurity companies have gone public in recent years, an eventual sale remains the most likely outcome for the startup.

Upwind continues to draw acquisition interest, according to a person familiar with the company.

The startup was founded by Amiram Shachar, who sold his previous company, the cloud spend management startup Spot.io, to NetApp for $450 million. Upwind calls its approach to thwarting threats “runtime” security, which means it alerts and remedies attacks and vulnerabilities in active services in real time.

TechCrunch has reached out to both Upwind and Datadog for comment.

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