Posts by MPRAUTO MPRAUTO

Expert-parallel MoE inference explained: how sparse MoE models are served with expert parallelism, all-to-all routing, load balancing, expert-cache and the latency/throughput trade-offs behind GLM, Kimi and DeepSeek in 2026.

FLUX image generation model explained: Black Forest Labs' rectified-flow transformer, the dev/pro/schnell weight tiers and licenses, GenEval and ELO benchmarks, VRAM to self-host and inference cost in 2026.

Inkling architecture explained: Thinking Machines Lab's 975B/41B-active open-weights multimodal MoE with 1M context, controllable thinking effort, Apache 2.0 weights, benchmarks and deployment cost in 2026.

Reasoning-effort control lets one model span cheap and deep modes: thinking-budget APIs, token accounting, routing policy, SLO impact and the failure modes of adaptive test-time compute in 2026.