HighVRAM Weekly Digest — October 25, 2026
This edition: screened offers, exact VRAM planning, Muse Spark's 700GB-versus-512GB paths, and Muse Glimmer's official 24GB/32GB targets.
Canonical editions of the opt-in HighVRAM Weekly Digest. Archive publication is not a claim of email delivery.
This edition: screened offers, exact VRAM planning, Muse Spark's 700GB-versus-512GB paths, and Muse Glimmer's official 24GB/32GB targets.
Choose between 8GB, 12GB and 16GB local-AI GPU paths using exact Qwen3.5 file boundaries, workload headroom and reproducible tests.
Compare gpt-oss-20b and 120b hardware using OpenAI's ~16GB, ~48GB and ≥60GB guidance, plus new structured benchmark starters.
A new evidence-first guide maps OpenAI's ~16GB MXFP4 and ~48GB bfloat16 guidance to practical gpt-oss-20b hardware paths.
A practical memory-tier map for 24B, Qwen3.8-27B and gpt-oss-120b local models using exact artifact boundaries and platform safeguards.
A new evidence-first guide maps OpenAI's ≥60GB gpt-oss-120b requirement to 64GB, H100 80GB, 96GB, unified-memory and multi-GPU paths.
A new evidence-first guide maps exact Gemma 3 and Qwen3.5 27B artifacts to practical 24GB, 32GB, 48GB and 64GB–80GB GPU paths.
A new evidence-first guide maps exact 24B Q4, Q5, Q8 and BF16 model files to practical 16GB, 24GB, 32GB and 64GB+ hardware paths.
HighVRAM's new comparison directory organizes 48 local-AI hardware decisions across desktop, workstation, compact-system and data-center paths.
A practical 40GB-to-141GB decision map for DGX Spark, A100, H100 and H200: exact Qwen3.5 file boundaries, deployment constraints and a reproducible test path.