BACK_TO_FEEDAICRIER_2
MLX beats Ollama for complex MoE agent stacks
OPEN_SOURCE ↗
REDDIT · REDDIT// 5h agoINFRASTRUCTURE

MLX beats Ollama for complex MoE agent stacks

ANNOUNCEMENTPRODUCTGITHUBPRODUCT HUNT

A developer reports that switching from Ollama to raw MLX for a 12-agent Qwen 35B stack on M1 Max fixed long-form generation "word-salad" issues and throughput bottlenecks. The move sacrifices convenience for in-process sectional generation and fine-grained sampler control.

// ANALYSIS

Power users are outgrowing the "Ollama wrapper" layer as agentic workflows demand deeper model control.

  • –Sectional generation is the MoE savior, preventing repetition collapse in Qwen 35B without the latency of HTTP round-trips.
  • –Raw MLX throughput is essential for "thinking" models, often doubling tokens-per-second compared to legacy local backends.
  • –Direct Python bindings enable sophisticated in-process orchestration like priority queues and per-call sampler adjustments.
  • –The tradeoff highlights a split between "it just works" users and developers building high-uptime, specialized agent stacks.
// TAGS
llminferenceagentapple-siliconmlxollamaqwenopen-source

DISCOVERED

5h ago

2026-04-24

PUBLISHED

8h ago

2026-04-24

RELEVANCE

8/ 10

AUTHOR

sleepy_quant