Nvidia Eyes $1 Trillion in Chip Orders for Blackwell and Vera Rubin
Nvidia CEO Jensen Huang has stated he expects approximately $1 trillion worth of orders for the company's Blackwell and upcoming Vera Rubin chip architectures, according to TechCrunch. The projection signals continued enterprise and data center demand for Nvidia's hardware as the AI infrastructure build-out accelerates across industries.
Nvidia Launches NemoClaw, an Open Enterprise AI Agent Platform
Nvidia has announced NemoClaw, an open enterprise AI agent platform built on top of the viral open-source OpenClaw framework, TechCrunch reports. According to Nvidia, NemoClaw is designed to address one of the most pressing concerns in enterprise AI deployments: security. By building on OpenClaw's foundation and layering in enterprise-grade safeguards, Nvidia is positioning NemoClaw as a production-ready solution for organizations looking to deploy AI agents at scale.
Nvidia's DLSS 5 Brings Generative AI to Video Game Graphics
Nvidia has introduced DLSS 5, the latest iteration of its Deep Learning Super Sampling technology, which leverages generative AI alongside structured graphics data to enhance photorealism in video games, per TechCrunch. CEO Jensen Huang noted that the underlying approach is not limited to gaming, suggesting the technology could eventually find applications in other industries. DLSS 5 represents a significant technical evolution from prior versions by incorporating generative techniques rather than relying solely on traditional upscaling methods.
Picsart Launches AI Agent Marketplace for Creators
Picsart has introduced an AI agent marketplace that allows creators to browse and deploy AI assistants directly within its platform, TechCrunch reports. The marketplace is launching with four agents, with Picsart planning to add additional agents on a weekly basis. The move positions Picsart as an early entrant in the growing space of consumer-facing AI agent storefronts, offering creators on-demand access to specialized AI capabilities.
Memories.ai Builds Visual Memory Layer for Wearables and Robotics
Memories.ai is developing a large visual memory model aimed at indexing and retrieving video-recorded memories for use in physical AI applications, including wearables and robotics, according to TechCrunch. The company's approach centers on creating a persistent visual memory layer that physical AI systems can query over time. As wearables and robotics increasingly depend on contextual awareness, Memories.ai is targeting a foundational infrastructure need in the physical AI stack.
These developments reflect a broad push across the AI industry this week, from hardware scaling and enterprise security infrastructure to creative tooling and physical AI memory systems.