**************************Runtime routing, model switching, cost levers (Qwen/Gemma savings)**************************
Key Questions
What cost savings did Shopify achieve with model switching?
Shopify saved 99% by switching from GPT-5 to Qwen 3.5. 7B SLMs with AWQ yield 75-92% reductions. Qwen3.6-Plus processes 1T tokens/day as SOTA.
What is runtime routing and model switching?
Runtime routing optimizes costs via Qwen/Gemma, HF TRL/NIM/OpenUMA/OpenRouter Fusion. MS Foundry/DoiT and sllm enable GPU/TPU sharing. Local evals with LangGraph support efficient scaling.
How does Qwen3.6-Plus perform?
Qwen3.6-Plus is first to break 1T tokens/day, powering savings like Shopify's. It embarrasses $50K API bills with 7B models. Karpathy's LLM Wiki offers RAG alternatives.
What tools enable cost-effective inference?
Nanocode on TPU for $200, Jetson/RTX/Mac/INT4; sllm splits GPU costs. OpenUMA and Fusion route models dynamically. Test-time scaling optimizes compute.
What replaces traditional RAG workflows?
Karpathy's LLM Wiki provides RAG alternatives via structured knowledge. LightThinker++ handles reasoning compression to memory. Weaviate Agent Skills import PDFs for agents.
How does sllm reduce costs?
sllm shares GPU nodes with cohorts for unlimited tokens on large models like DeepSeek V3. It targets developers splitting high costs. Shopify's 99% savings exemplify model shifts.
What hardware optimizations lower expenses?
Gemma fine-tuning on TPU v5 with Kinetic/Keras/JAX; AWQ halves GPU costs. Open-source toolchains like those for video generation show efficiency. DoiT scales multi-model AI cost-effectively.
What are key cost levers in agent deployment?
Model switching (GPT-5 to Qwen), quantization (AWQ/INT4), sharing (sllm), and routing (OpenRouter). ChatGPT Business and Promptly with DoiT control expenses. 7B models rival expensive APIs.
Qwen3.6-Plus 1T tokens/day SOTA; Shopify savings/7B SLMs 75-92%/AWQ; ChatGPT Business; MS Foundry/DoiT; Gemma 4/Nanocode TPU $200/Jetson/RTX/Mac/INT4; HF TRL/NIM/OpenUMA/OpenRouter Fusion; sllm GPU/TPU sharing; LangGraph/local evals; Karpathy LLM Wiki RAG alt; test-time scaling.