AI models

OpenAI is expanding its cloud infrastructure by making its AI models available on Amazon Web Services (AWS), a move that diversifies its partnerships beyond its long-standing relationship with Microsoft. This strategic shift aims to better serve clients across various cloud environments and offers developers more flexible access to OpenAI’s technology. While the partnership with Microsoft remains significant, this new agreement with AWS signals a more competitive and open AI market.

President Trump indicated a potential agreement for the Department of Defense to use Anthropic’s AI, following previous disputes. Talks with Anthropic representatives at the White House were described as “very good.” This shift follows a period where the Pentagon classified Anthropic’s technology as a supply chain risk and Trump ordered a halt to its use. Recent meetings, including one discussing Anthropic’s new “Mythos” model, suggest a de-escalation of tensions and a potential for renewed collaboration.

China’s latest Five-Year Plan prioritizes AI development, integrating it with quantum computing and biotechnology. Key focuses include high-performance AI chips, novel algorithms, and advanced communication technologies like 5G+ and 6G. The plan outlines AI’s role in computing power, model advancement, and data dissemination, advocating for national “intelligent computing clusters” and market-driven access. It emphasizes theoretical advancements, multi-modal and embodied AI, and widespread application across manufacturing, services, and social sectors like education and healthcare. The plan also addresses data governance and regulation, acknowledging risks like data misuse.

A federal judge is considering whether the Pentagon unlawfully banned Anthropic’s AI models, calling the move an attempt to cripple the company. Anthropic argues the designation as a “supply chain risk” is retaliatory and lacks basis. The judge questioned if Anthropic faced adverse actions for critiquing government contracting and whether a low threshold was used for the designation. A ruling is expected soon, which could allow Anthropic to continue government contractor relationships while its lawsuit proceeds.

The Pentagon is reviewing its relationship with AI firm Anthropic due to disagreements over its model usage. While Anthropic seeks to restrict its AI from autonomous weapons and citizen surveillance, the DOD wants unrestricted use for all lawful purposes. This dispute could lead to Anthropic being classified as a supply chain risk, impacting its contracts and standing, despite recent substantial funding.

Chinese AI firms are rapidly releasing advanced models, challenging U.S. dominance. Startups like Moonshot AI and e-commerce giants like Alibaba are unveiling models claiming superior performance in video generation and complex tasks, some even surpassing U.S. benchmarks. Chinese companies are also differentiating through open-sourcing and aggressive promotion, focusing on user traffic and integration into existing ecosystems to build market share and embed AI into daily digital life.

SAP has launched EU AI Cloud, unifying its European‑focused sovereignty efforts to give organisations choice over AI and cloud deployment—via SAP‑run data centres, vetted European providers, or on‑premise installations—while keeping data within EU regulatory boundaries. Partnering with Cohere, Mistral AI, OpenAI and others, SAP embeds next‑gen models into the Business Technology Platform, offering SaaS, PaaS and IaaS options. Deployment choices span SAP Sovereign Cloud IaaS, on‑site managed infrastructure, or select hyperscalers with sovereignty extensions, targeting regulated industries and public‑sector bodies seeking a European‑centric alternative to U.S. cloud providers.

Google’s Private AI Compute is a new cloud-based system aiming to balance powerful AI with user privacy by replicating on-device data security within a cloud environment. Similar to Apple’s approach, it addresses the challenge of providing computationally intensive AI while protecting data confidentiality. The system uses Google’s infrastructure, including TPUs and TIEs, encrypted connections, and Zero Access assurance to secure data processing. It enhances features like Magic Cue and Recorder, offering faster, more personalized results. Google intends Private AI Compute to unlock a new generation of privacy-centric AI tools.

Despite Meta’s planned $14.3B investment interpreted by some as an acquihire and subsequent paused collaborations with OpenAI, Google, and xAI, Scale AI’s CFO Dennis Cinelli insists the company is thriving. He claims recent significant deals and growth in both its data and applications businesses, including contracts with the U.S. Department of Defense, have resulted in revenue “well into the nine figures,” approaching $1 billion. Scale AI is expanding and hiring, aiming to solidify its position in the AI development landscape.

OpenAI has signed a $38 billion deal with Amazon Web Services (AWS) for cloud capacity, marking its first major agreement with AWS and a move towards independence from Microsoft. The deal involves deploying workloads across AWS infrastructure, leveraging Nvidia GPUs, and expanding capacity. This collaboration boosted Amazon’s stock. OpenAI’s CEO, Sam Altman, emphasizes the need for massive compute power. While committed to Microsoft Azure, OpenAI’s AWS partnership signifies a strategic diversification. Amazon is also heavily invested in Anthropic, highlighting its commitment to AI. The agreement supports both AI model training and inference.