Tech firms including Nvidia, OpenAI, Anthropic, Palantir and Anduril have expanded into branded clothing, treating it as limited, label-led merch rather than a normal apparel line. Nvidia’s woollen jumper sells for $178 (£132) and its drops typically sell out quickly. This shifts tech branding toward scarcity, identity and reputation management, with some buyers attracted for controversy and critics arguing it aims to improve public conversation.
NVIDIA debuted the Vera Rubin NVL72 system in MLPerf Inference v6.1 with preview submissions on DeepSeek-R1 and Qwen3-VL. It reported up to 3.7x higher throughput than the GB300 NVL72, and its 288-GPU configuration achieved 99% scaling efficiency. The results claim higher inference throughput and better cost per token as software and hardware scaling optimizations continue to improve performance beyond v6.0 and past the v6.1 submission.
Nvidia’s Les Karpas will speak at TechCrunch Disrupt 2026 about why robots have not had a breakthrough like ChatGPT. The event runs October 13-15 at Moscone West in San Francisco. As a result, attendees will get Nvidia’s explanation of the robotics bottleneck and how companies are trying to address it with simulation and synthetic/foundation-model data.
SK Hynix is reportedly in talks with Intel about making RAM chips in the U.S. for the first time, potentially via space leasing at Intel’s planned Ohio factory or a joint venture with cloud providers. The article notes SK Hynix is already building a $3.8 billion advanced packaging and research facility in Indiana. If an arrangement is reached, some memory manufacturing could shift to the U.S., but SK Hynix says nothing has been finalized and it would depend on further decisions and possible government review.
Apple may return to the server market, potentially partnering with Nvidia to build an enterprise product. The Information reports the server launch would not happen until 2029. As a result, Apple’s AI developer demand for its ARM-based M processors could be matched with new server hardware.
The University of Manchester trained NVIDIA Earth-2 generative downscaling models to forecast and simulate UK air pollution fields using chemistry-derived training data on Isambard-AI.
Nvidia CEO Jensen Huang argued at Salesforce’s Dreamforce that AI safety should be handled as an engineering issue by companies, not through new AI regulations, with market pressure guiding responsible releases. Meta’s $18 billion settlement over alleged harms to children is cited as an example of how companies can still ship harmful outcomes. The article frames this as a push to rely on existing product-liability rules or industry self-regulation instead of new laws, though it questions whether that approach is sufficient.
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