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Ryan Orban

Ryan Orban

Subject
3 entries

Ml Infrastructure

Bookmarks

  1. Superlinked

    Superlinked is a framework for data engineers to build vector embeddings from structured data with control over how different attributes are weighted and combined. Addresses the gap between raw ML embedding models and production multi-attribute vector search.

  2. AirLLM: 70B LLMs on a 4GB GPU

    AirLLM runs 70B LLMs on a single 4GB GPU and 405B Llama3.1 on 8GB VRAM — without quantization, distillation, or pruning. It optimizes inference memory usage itself rather than compressing the model, preserving full model quality on consumer hardware.

  3. Pathways: Asynchronous Distributed Dataflow for ML

    Google's Pathways is a single-controller orchestration layer for ML accelerators that runs sharded asynchronous dataflow across thousands of TPUs while matching SPMD performance. Designed to break the MPI-style lockstep model so heterogeneous workloads like MoE, pipelining, and foundation-model multiplexing become first-class.

All bookmarks