Rumble plans to compete with AI hyperscalers in cloud services starting mid-June

TurboQuant's open-source release could democratize AI by enabling efficient local deployment, reducing reliance on centralized cloud services. The post Tether AI open-sources TurboQuant, reducing LLM KV cache memory use by 5x appeared first on Crypto Briefing.

TurboQuant's open-source release could decentralize AI, reducing reliance on cloud services and empowering local devices with enhanced capabilities. The post Tether releases open source version of Google’s TurboQuant to cut AI memory use appeared first on Crypto Briefing.

Meta has raised the possibility that it could be joining the likes of Amazon, Microsoft and Google in offering cloud services at some point in the future — although potential customers shouldn’t be adding the company to their suppliers list just yet. When asked about plans for offering such services at the company’s annual shareholders meeting,  Meta CEO Mark Zuckerberg said there was a possibility of the company competing with the major hyperscalers. “It’s definitely on the table.” He explained that different companies were approaching Meta asking for the company to offer an API service or to buy compute services at a premium price. “We haven’t done it yet, because we think we have a use for the compute, but when we feel we have overbuilt, then that is an option that we have.” Meta has been active in developing its data centers over the past few years, so there will be a possibility of some excess capacity. It is also developing its own AI chips. For the moment, though, the company ma

The renegotiated deal allows OpenAI greater autonomy, potentially reshaping competitive dynamics in the AI and cloud services markets. The post OpenAI caps Microsoft revenue share at $38B in renegotiated deal appeared first on Crypto Briefing.

The International Monetary Fund (IMF) is warning that AI could become a growing threat to global financial stability by making cyberattacks faster and more sophisticated. In a new analysis, the organization describes how new AI tools can help attackers identify and exploit security vulnerabilities in banks, payment systems, and cloud services in record time. According to the IMF, the financial sector relies heavily on shared digital infrastructure, which means a single vulnerability could have consequences for multiple institutions simultaneously. AI-driven attacks might, for instance, lead to disruptions in payment systems, liquidity problems, and reduced confidence in the financial market. The IMF points, among other things, to Anthropic’s experimental AI model Claude Mythos Preview to illustrate how quickly AI technology is progressing. The model is reported to be highly skilled at finding and exploiting security vulnerabilities in major operating systems and web browsers. At the s

Modern frontend applications rely on cloud services for far more than basic data fetching. Authentication, search, file uploads, feature flags, notifications and analytics often depend on APIs and managed services running behind the scenes. Because of that, frontend reliability is closely tied to cloud reliability, even when the frontend team does not directly own the infrastructure. This is often one of the biggest mindsets shifts for frontend engineers. We often think about failure as a total outage where the whole site is down. In practice, that is not what most users experience. More often, the interface is partially degraded: A dashboard loads but one panel is empty, a form saves but the confirmation never arrives, or a file upload stalls while the rest of the page still appears normal. That is why I think frontend resilience deserves more attention in day-to-day engineering conversations. The goal is not to prevent every cloud issue. That is rarely realistic. The more practical g

Krutrim's pivot to cloud after layoffs and limited product updates reflects the economic challenges of building AI models in India.

April 22, 2026 — NVIDIA and Google Cloud have collaborated for more than a decade, co‑engineering a full‑stack AI platform that spans every technology layer — from performance‑optimized libraries and frameworks […] The post NVIDIA and Google Cloud Collaborate to Advance Agentic and Physical AI appeared first on AIwire.