Tencent Signals AI Chip Shortage Easing, Plans H2 Spending Surge

NVIDIA's Vera Rubin NVL72 GPU system delivers up to 30x higher throughput per megawatt than its GB300 NVL72 predecessor on agentic AI workloads, according to measurements using the SemiAnalysis AgentX benchmark. Agentic tasks consume 15x more tokens than simple chat because agents iteratively query databases, invoke sub-agents, and accumulate context across multiple reasoning steps. For power-constrained AI infrastructure operators, the efficiency gain translates directly to running significantly more agent-based work within the same energy budget.

Nvidia announced that SpaceX and AI cloud company Nebius will be early customers for its Vera CPU and Groq LPX inference-focused racks, marking the company's expansion beyond its core GPU business. The move addresses investor and analyst questions about how Nvidia plans to diversify its product portfolio beyond graphics processors. Both products target different segments of the AI infrastructure market, with Vera serving as a central processing unit option and Groq LPX designed for fast inference workloads.

IBM announced a dual-architecture mainframe processor at Hot Chips that can natively execute both Arm and IBM Z instruction sets on the same cores, switching between them in nanoseconds. Built on 2-nanometer process technology with 11 cores running above 5.7 GHz, the chip allows enterprises to run Arm-native Linux software and AI frameworks alongside z/OS transaction-processing workloads on shared silicon. The design represents the first hardware outcome of IBM and Arm's April strategic collaboration and directly addresses whether mainframes can remain relevant in an AI-dominated infrastructure landscape.

General Intuition, an AI startup developing foundation models for generalized agents that navigate physical and temporal space, is raising capital at a $6 billion pre-money valuation from investors including Valor Ventures, Point72 Ventures, and Seven Seven Six. The funding round signals investor confidence in AI systems designed for robotics and embodied AI applications. The startup's focus on spatial reasoning and agent movement represents a shift toward practical, physical-world AI deployment.