# Watchlist · Frontier

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This book has an evidentiary standard: an architecture gets covered in the [hardware chapter](https://learn-kernels.com/chapters/hardware) once its ISA documents are public and its performance numbers can be reproduced by someone who does not work for the vendor. Until then it stays here, as a set of claims worth tracking rather than facts worth teaching. Everything in this section is in that waiting room.

The clearest example is NVIDIA’s Rubin GPU. The launch material describes two reticle-limited compute dies joined by **NV-HBI** (NVIDIA High-Bandwidth Interface, the high-speed inter-die link that unifies Rubin's two compute dies on a single package.), an HBM4 memory subsystem, a third-generation Transformer Engine rated at up to 50 petaflops of NVFP4, and up to 10x more agentic throughput per unit of energy than Blackwell. Every one of those numbers is a vendor claim, and the throughput figure comes from an internal workload. None of that makes the claims false; it makes them unverified. What would move Rubin into the hardware chapter is shipped systems, published tuning and ISA documentation, and measurements someone outside NVIDIA can reproduce.

The rest of the watchlist has even less on the record, which is exactly why it is a watchlist. AMD’s next datacenter GPU generation, session-aware scheduling in inference engines, serving real-time voice and video, dedicated inference ASICs, and processing in memory are all areas where the interesting claims currently live in announcements, papers without public artifacts, or products without disclosed baselines. For each, the same three questions apply: is the hardware or system shipping, are the specifications published, and has anyone outside the organization reproduced the numbers? Pointers to whatever public material exists are kept current in the [reading list](https://learn-kernels.com/chapters/reading#watchlist), so this section can stay short and the evidence can accumulate there.

Source

Rubin architecture claims from NVIDIA’s [Rubin architecture post](https://developer.nvidia.com/blog/inside-nvidia-rubin-gpu-architecture-powering-the-era-of-agentic-ai/), a vendor launch publication. The remaining watchlist entries cite no source by design: they are listed because reproducible public evidence does not exist yet.