Meta releases Llama 3.1 including a 405B model

Meta announced Llama 3.1 models at 8B, 70B, and 405B parameters, describing multilingual support, a 128K context window, and reference materials for agent systems. The models broadened open-weight options, but hosting and inference requirements vary substantially by size, deployment target, and operational environment chosen by operators.

Original source date: . Hypler briefing published October 6, 2026.

Topics: open-weights, Llama, inference

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Generated illustration of accelerator servers and cooling infrastructure, not a real vendor facility.
Generated illustration of accelerator servers and cooling infrastructure, not a real vendor facility. Credit: Hypler / AI-generated editorial illustration. Hypler editorial asset; not vendor or event photography
Generated illustration of connected accelerator trays and cooling channels; not a vendor facility.
Generated illustration of connected accelerator trays and cooling channels; not a vendor facility. Credit: Hypler / AI-generated editorial illustration. Hypler editorial asset; not vendor or event photography

Engineering relevance

Larger open models make capacity planning and model-routing evidence more important. Hypler should treat context, throughput, safety tools, and total operating cost as measured properties, not release-note assumptions.

Original source

This is a historical source briefing, not a statement of current availability or Hypler deployment.