NVIDIA presents Rubin platform, open models and autonomous driving roadmap at CES

NVIDIA Rubin Platform, Open Models, Autonomous Driving: NVIDIA Presents Blueprint for the Future at CES

At CES 2026, NVIDIA said its six-chip Rubin AI platform is now in full production and cuts token generation cost to about one-tenth of the prior platform. The post cites 50 petaflops NVFP4 inference for Rubin GPUs, 5x gains from its KV-cache storage tier, and the new open autonomous-driving model family Alpamayo; the key signal is production status and cost curve, not the “AI everywhere” framing.

Why it matters: HKR-H lands because Rubin is in production, not just on a roadmap. HKR-K is strong with ~1/10 token cost, 50 PFLOPS NVFP4, and 5x long-context throughput; HKR-R lands because NVIDIA still sets the tone on inference economics, though the company-blog framing keeps it below 90.