Canonical event
NVIDIA announces Hopper H100 and DGX H100 AI infrastructure
NVIDIA announced H100 with a Transformer Engine and NVLink scaling plus DGX H100 systems and SuperPOD architecture for large language models and other large AI workloads.
Artifacts
Signals
- Dedicated AI supercomputing was becoming a distinct operational layer, with model progress increasingly dependent on large accelerator fleets, high-bandwidth networking and storage.supported inference
- By the end of Q1 2022, the clearest stack coupling ran through research, models, software, compute, chips, networks, manufacturing and governance; the selected evidence does not yet support persistent agents or agent permissioning as independent operational layers.supported inference
- Transformer workloads were becoming an explicit target of accelerator, interconnect and system architecture design rather than merely software running on generic compute.supported inference