DeepSeek-V2

A dated reading of what is claimed, reported, and independently verified in the current evidence.

Current reading

Readiness band and full integer triple

AI-assisted assembly · derived results

Readiness band

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Primary summary from verified readiness

Evidence strength Growing

Decision

Human editorial judgment · 2026-07-23

Adopt with guardrails

Why: The paper's core efficiency claims (93.3% KV-cache cut, 5.76x throughput, 42.5% lower training cost) are primary-sourced and independently confirmed as still load-bearing in V3 — the architecture, not the V2 checkpoint itself, is the durable asset; guardrails are the heavy 8x80GB GPU inference footprint, the vendor's own performance caveat on HF Transformers inference, and DeepSeek's custom (non-permissive) model license.
Next: Do not deploy DeepSeek-V2 weights directly (discontinued); instead track and adopt its MLA + shared-routed-MoE pattern via the already-registered downstream models (DeepSeek V3, GRPO, V4) which inherit it unchanged per DeepSeek's own V3 technical report.

Constraints

No named blocker is present in the current public projection.

Evidence summary

AI-assisted assembly

Counts and dates only. Raw signals, private excerpts, trust records, and internal corpus material are not published here.

Publication record

Initial public reading