NVIDIA GTC 2026: What Vera Rubin and the Groq Partnership Mean for Your Inference Stack
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NVIDIA GTC 2026: What Vera Rubin and the Groq Partnership Mean for Your Inference Stack If you build AI products, two announcements from GTC 2026 matter than the headline GPU spec: the Groq partnership and the agentic AI platform. Here's why. The Vera Rubin Spec That Actually Matters 288GB HBM4 memory. That number gets the headline, but the reason it matters is specific: LLM inference is memory-bandwidth-limited, not compute-limited. When you're running a 70B+ parameter model, the GPU spends most of its time loading weights from memory, not doing matrix math.