Unsloth and NVIDIA collaboration achieves approximately 25% faster LLM training without sacrificing accuracy. The new algorithms are automatically enabled on RTX laptops, data center GPUs, and DGX Spark machines with an Unsloth update.

China's courts have ruled against the use of AI for layoffs, stating that replacing workers with AI cannot be solely a cost-cutting measure. Nvidia's CEO claims that AI has created 500,000 jobs over the past two years, suggesting that concerns about job losses may be exaggerated.

Some companies are now spending more on AI technologies than on employee salaries, leading to increased IT budgets. Bryan Catanzaro from Nvidia noted that the cost of compute exceeds employee costs, while Uber's CTO has already exceeded the full 2026 AI budget due to high token expenses.

Google is competing with Nvidia for dominance in the AI chip market, which has significant implications for the global economy. Nvidia previously held a monopoly on AI chip supply, leading to high demand and a market cap exceeding $3 trillion, but this era is coming to an end as new challengers emerge.

New chip architectures presented at the Nvidia GTC conference are driving a shift toward DC power configurations in hyperscale data centers. Companies like Delta, Vertiv, and Eaton are introducing designs that aim to replace inefficient AC to DC power conversions in response to the increasing demands of AI technology.

NVIDIA NemoClaw is an open source stack that facilitates the secure installation and operation of OpenClaw always-on assistants. It integrates the NVIDIA OpenShell runtime, part of the NVIDIA Agent Toolkit, ensuring a secure environment for autonomous agents with inference processed through NVIDIA cloud.

NVIDIA launched the Vera CPU, which operates with twice the efficiency and 50% faster than traditional CPUs. Collaborating customers include Alibaba, ByteDance, Meta, and Oracle Cloud Infrastructure, with manufacturing partners such as Dell Technologies, HPE, and Lenovo adopting the new CPU.

ByteDance is planning a significant AI hardware deployment in Malaysia, including approximately 500 Nvidia Blackwell computing systems, equivalent to around 36,000 B200 chips. The initiative, facilitated by Aolani Cloud, is expected to exceed $2.5 billion in costs.

Oracle's data centers are being built with outdated technology, while advancements in AI chips are outpacing construction timelines. OpenAI has decided not to expand its partnership with Oracle in Abilene, Texas, due to a preference for newer Nvidia graphics processing units.

The UK's multibillion-pound AI initiative is reportedly plagued by "phantom investments" and questionable accounting practices. Successive governments have announced significant deals for new datacentres, job creation, and supercomputer development, primarily involving two firms associated with Nvidia.