NVIDIA's NIM for Vision Language Models release notes for version 2.0.4-variant, dated 2026-08-10, document an updated release of Kimi-K2.6 alongside updates to Qwen3.5-397B-A17B and Qwen3.5-122B-A10B, explicitly naming the exact model variant and linking to its model card and support matrix. The entry is distinct from The 2.0.4-variant release notes enumerate concrete operational constraints for Kimi-K2.6 in this NIM packaging: only the INT4 precision profile is supported (BF16 and FP8 are not provided); the first-time container start downloads a 554 GB NGC artifact requiring 60-90 minutes on a fast NVMe cache; requests to the /v1/c

The Artificial Analysis release page for Kimi K2.6 documents the model's technical specifications: 1 trillion total parameters with 32 billion active per token during inference, a 256K-token context window equivalent to roughly 384 A4 pages of 12-point Arial, text/image/video input with text output, and a Modified MIT Output speed is measured at 59 t/s for the reasoning variant and 51 t/s for the non-reasoning variant, with the non-reasoning variant delivering time-to-first-token at 2.62 seconds. The page places K2.6 at 24 of 644 models in the Intelligence Index ranking, with the independent evaluation marked as forthcoming; the rel

NVIDIA's NIM for Vision Language Models release notes for version 2.0.9-variant document an updated release of Kimi-K2.6 as part of the NIM Certified offering, explicitly naming the exact model variant. The page points operators to the Kimi-K2.6 model card and the GPU support matrix for deployment guidance, confirming The 2.0.9-variant release notes flag two version-specific limitations for Kimi-K2.6: air-gapped or offline deployment is not supported because the NIM contacts NGC at startup to download the speculative-decoding draft model even when the cache is fully pre-populated, and structured (guided) decoding is only reliable in