At Hot Chips in August, NVIDIA pushed “agentic AI” from concept to an actual compute architecture you can build with. The big headline: two new engines working together for agents that don’t just answer questions—they execute multi-step tasks. First, NVIDIA confirmed its Vera CPU, designed specifically for agent workflows, is already being adopted by SpaceXAI. It’s powering Grok-related infrastructure and even supporting Starmind AI satellite efforts. The role of Vera is clear: act like the “logic conductor”—writing/assisting code, calling external tools, handling orchestration, and coordinating complex pipelines where GPU-only approaches create latency bottlenecks. Second, NVIDIA announced Groq 3 LPX inference chips are in full production, delivering extremely fast generation. Positioned as the “speed engine,” Groq 3 LPX focuses on low-latency text and instruction output, described as a high-throughput engine for the Vera Rubin platform. NVIDIA’s message is simple: agent AI changes workload shape, so compute needs a new division of labor—Vera for execution and orchestration, Groq for rapid inference. #NVIDIA #AgenticAI #AIInference #HotChips #SpaceXAI #EdgeAI
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