重磅观察：AI 推理调度进入精细化阶段：队列 批处理和弹性伸缩成为降本新方向

{"type":"doc","content":[{"type":"paragraph","attrs":{"id":"035aca71-f00d-4379-8e1c-8af96ef6d7f7","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false}},{"type":"heading","attrs":{"id":"34b6988d-0ae6-4fea-a5b5-fa5b696e010b","textAlign":"inherit","indent":0,"level":2,"isHoverDragHandle":false},"content":[{"type":"text","text":"概述"}]},{"type":"paragraph","attrs":{"id":"f6fcae86-9b2b-4c44-885e-0e58f2e640c7","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"2026 年，大模型推理正在从“单次请求调用”走向“系统级调度”。"}]},{"type":"paragraph","attrs":{"id":"35af6715-e332-4e60-a871-88d1ee75bd37","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"过去，很多 AI 应用的推理方式比较简单。用户请求进入系统后，应用直接调用模型接口，等待模型返回结果，然后展示给用户。"}]},{"type":"paragraph","attrs":{"id":"c40db047-7c3b-4f6e-84ef-392647f49580","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"这种方式适合早期业务，但当调用量上升后，很快会遇到问题。"}]},{"type":"paragraph","attrs":{"id":"91116589-9555-4a65-bb09-16cc23a7bb44","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"请求突然增多时，模型服务是否会排队？"}]},{"type":"paragraph","attrs":{"id":"f76a8e3d-261d-4f77-b3f9-d1c8450068f8","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"不同任务是否应该使用不同优先级？"}]},{"type":"paragraph","attrs":{"id":"3769edaa-9cfe-473a-b4e4-3247fc62ad54","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"多个短请求能不能合并批处理？"}]},{"type":"paragraph","attrs":{"id":"98393405-df92-4f90-bbf9-b4511ca0d55d","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"GPU 资源是否存在空闲浪费？"}]},{"type":"paragraph","attrs":{"id":"d5012986-5232-43fa-8c28-2a3ea6189582","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"模型服务失败时，是否可以自动切换备用节点？"}]},{"type":"paragraph","attrs":{"id":"71be757e-af3d-4ae3-8a01-110a99b3f970","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"这些问题说明，大模型推理不再只是 API 调用，而是资源调度问题。"}]},{"type":"paragraph","attrs":{"id":"a83c894e-a0c3-4b72-a438-8785d2aad57f","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"AI 推理调度系统的目标，是在保证响应速度的前提下，提高资源利用率，降低推理成本，并提升服务稳定性。"}]},{"type":"horizontalRule","attrs":{"id":"7a516e8d-544f-49d9-9dca-8ea88cf753ec","isHoverDragHandle":false}},{"type":"heading","attrs":{"id":"2e11406f-912b-4b25-aab3-30978a06ad0f","textAlign":"inherit","indent":0,"level":2,"isHoverDragHandle":false},"content":[{"type":"text","text":"一、为什么推理需要调度？"}]},{"type":"paragraph","attrs":{"id":"04e8385c-7f77-4a83-869a-9d110a80d04b","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"大模型推理资源通常比较昂贵。"}]},{"type":"paragraph","attrs":{"id":"5db81b5d-cfac-47b3-8f20-dd022b376d85","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"如果所有请求都立即调用模型，系统容易出现两个问题。"}]},{"type":"paragraph","attrs":{"id":"8bd09b47-91ef-4ef1-9653-bf21e85a48c1","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"第一，高峰期排队严重，用户等待时间变长。"}]},{"type":"paragraph","attrs":{"id":"c83796fa-132d-49cd-8ff6-08c3534f553b","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"第二，低峰期资源闲置，GPU 利用率不足。"}]},{"type":"paragraph","attrs":{"id":"ac9d46f9-f933-4d4d-85e2-55af2aee1743","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"因此，推理系统需要具备调度能力。"}]},{"type":"paragraph","attrs":{"id":"b1fe705e-7224-443a-a936-3ccd2a759f5d","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"它要根据请求类型、优先级、最大等待时间和模型负载，决定请求是立即执行、进入队列、合并批处理，还是走降级模型。"}]},{"type":"paragraph","attrs":{"id":"02bccc1b-2bff-45c4-b7cb-240adacdfc9f","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"下面用 Python 写一个简化版 AI 推理调度系统。"}]},{"type":"horizontalRule","attrs":{"id":"e3013b78-236f-4b4f-8786-efd59bf03362","isHoverDragHandle":false}},{"type":"heading","attrs":{"id":"1b5ad603-94c7-420b-bec0-24c820f5893e","textAlign":"inherit","indent":0,"level":2,"isHoverDragHandle":false},"content":[{"type":"text","text":"二、基础结构：定义推理请求"}]},{"type":"paragraph","attrs":{"id":"2e69dd06-1e0d-42a5-a80a-3db5b6fc4e86","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"第一步是定义请求对象。"}]},{"type":"paragraph","attrs":{"id":"93609fd8-a6e7-4575-9aee-d4be978ccf76","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"每个请求包含用户、任务类型、Prompt、优先级和创建时间。"}]},{"type":"codeBlock","attrs":{"id":"a5001da9-0491-4ae1-8aaa-a017baf6b429","language":"javascript","theme":"atom-one-dark","runtimes":0,"isHoverDragHandle":false,"key":"","languageByAi":"javascript"},"content":[{"type":"text","text":"import timenimport jsonnimport randomnfrom datetime import datetimenfrom collections import dequennnclass InferenceRequest:ndef __init__(nself,nrequest_id,nuser_id,ntask_type,nprompt,npriority=5n):nself.request_id = request_idnself.user_id = user_idnself.task_type = task_typenself.prompt = promptnself.priority = prioritynself.created_at = time.time()nndef to_dict(self):nreturn {n"request_id": self.request_id,n"user_id": self.user_id,n"task_type": self.task_type,n"prompt": self.prompt,n"priority": self.priority,n"created_at": 30656.t.kuaisou.comn}n"}]},{"type":"paragraph","attrs":{"id":"65d69589-f859-4913-80c6-c34e25163d89","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"请求对象让调度系统可以统一管理不同任务。"}]},{"type":"paragraph","attrs":{"id":"b872a202-bb17-4604-9421-9a5fde36d58a","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"后续无论是摘要、分类、问答还是代码生成，都可以进入同一个调度队列。"}]},{"type":"horizontalRule","attrs":{"id":"3b28bbf9-148d-4c39-948e-6faf2d792dac","isHoverDragHandle":false}},{"type":"heading","attrs":{"id":"2ba65951-6c8a-48cc-ae9c-a64ae2ca1cc2","textAlign":"inherit","indent":0,"level":2,"isHoverDragHandle":false},"content":[{"type":"text","text":"三、模型节点：模拟推理实例"}]},{"type":"paragraph","attrs":{"id":"224c0566-d99f-4af9-8320-2cb7d8c08e34","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"第二步是定义模型节点。"}]},{"type":"paragraph","attrs":{"id":"85162ea4-c81c-4c3e-86d8-a851ee41a336","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"每个节点都有最大批量、当前负载、平均延迟和失败率。"}]},{"type":"codeBlock","attrs":{"id":"bd8aeb88-3c25-40dd-9de8-b8c544459534","language":"javascript","theme":"atom-one-dark","runtimes":0,"isHoverDragHandle":false,"key":"","languageByAi":"javascript"},"content":[{"type":"text","text":"class ModelNode:ndef __init__(nself,nnode_id,nmodel_name,nmax_batch_size,navg_latency,nfail_rate=0.05n):nself.node_id = node_idnself.model_name = model_namenself.max_batch_size = max_batch_sizenself.avg_latency = avg_latencynself.fail_rate = fail_ratenself.running = 0nself.total_finished = 0nself.total_failed = 0nndef can_accept(self):nreturn self.running < self.max_batch_sizenndef infer_batch(self, requests):nself.running = len(requests)ntime.sleep(self.avg_latency)nnresults = []nnfor request in requests:nif random.random() < self.fail_rate:nself.total_failed = 1nnresults.append({n"request_id": request.request_id,n"status": "failed",n"error": "model inference failed",n"model": self.model_name,n"node_id": self.node_idn})nelse:nself.total_finished = 1nnresults.append({n"request_id": request.request_id,n"status": "success",n"answer": f"{self.model_name} 生成的模拟回答",n"model": self.model_name,n"node_id": self.node_idn})nnself.running -= len(requests)nnreturn resultsnndef metrics(self):nreturn {n"node_id": self.node_id,n"model_name": self.model_name,n"running": self.running,n"total_finished": self.total_finished,n"total_failed": self.total_failedn}n"}]},{"type":"paragraph","attrs":{"id":"b8e0029f-317e-4597-9f74-828e53b32678","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"模型节点代表真实的推理服务实例。"}]},{"type":"paragraph","attrs":{"id":"e02bb4e1-637f-4e65-b74a-03797ce07712","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"在生产环境中，它可能对应一个 GPU 服务、一个模型副本或一个推理容器。"}]},{"type":"horizontalRule","attrs":{"id":"835b0f83-e344-4843-9218-cb42706e6a13","isHoverDragHandle":false}},{"type":"heading","attrs":{"id":"4109e811-1aa8-4af8-8a59-f6d0193acd50","textAlign":"inherit","indent":0,"level":2,"isHoverDragHandle":false},"content":[{"type":"text","text":"四、优先级队列：管理等待请求"}]},{"type":"paragraph","attrs":{"id":"3870ad32-7f0b-4c96-8f34-3ffe84a63ea1","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"第三步是构建队列。"}]},{"type":"paragraph","attrs":{"id":"18c10780-eb55-45d7-af5d-58798da05ff4","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"高优先级请求应该优先处理，低优先级请求可以等待或进入批处理。"}]},{"type":"codeBlock","attrs":{"id":"45bfe679-57a0-4c88-863a-391bf18b9e41","language":"javascript","theme":"atom-one-dark","runtimes":0,"isHoverDragHandle":false,"key":"","languageByAi":"javascript"},"content":[{"type":"text","text":"class PriorityQueue:ndef __init__(self):nself.items = []nndef push(self, request):nself.items.append(request)nnself.items.sort(nkey=lambda item: (n-item.priority,nitem.created_atn)n)nndef pop_batch(self, max_size):nbatch = self.items[:max_size]nself.items = self.items[max_size:]nnreturn batchnndef size(self):nreturn len(self.items)nndef oldest_wait_ms(self):nif not self.items:nreturn 0nnoldest = min(item.created_at for item in self.items)nnreturn int((time.time() - oldest) * 1000)n"}]},{"type":"paragraph","attrs":{"id":"8091c52d-b57d-4c13-a18e-ed8b4cf447cc","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"队列是推理调度的基础。"}]},{"type":"paragraph","attrs":{"id":"24a3c1e1-5048-400a-a877-f4f05fe73498","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"有了队列，系统就可以处理瞬时流量，而不是让每个请求都直接冲向模型服务。"}]},{"type":"horizontalRule","attrs":{"id":"0fde4a65-3ebb-4ac4-a517-b58f93801ca7","isHoverDragHandle":false}},{"type":"heading","attrs":{"id":"48a5a0f8-9ad2-401d-8dda-9d111d8b1658","textAlign":"inherit","indent":0,"level":2,"isHoverDragHandle":false},"content":[{"type":"text","text":"五、调度器：选择模型节点"}]},{"type":"paragraph","attrs":{"id":"10b991a2-4d11-41d3-9753-00fea785cde0","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"第四步是定义调度器。"}]},{"type":"paragraph","attrs":{"id":"68f29ece-ef37-42db-9765-40cfde7eb43b","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"它负责接收请求、选择节点、构建批次，并执行推理。"}]},{"type":"codeBlock","attrs":{"id":"b8fb7612-9662-4b07-86e7-7d8b8d950e94","language":"javascript","theme":"atom-one-dark","runtimes":0,"isHoverDragHandle":false,"key":"","languageByAi":"javascript"},"content":[{"type":"text","text":"class InferenceScheduler:ndef __init__(self, nodes):nself.nodes = nodesnself.queue = PriorityQueue()nself.logs = []nndef submit(self, request):nself.queue.push(request)nnself.logs.append({n"event": "submit",n"request_id": request.request_id,n"priority": request.priority,n"time": datetime.now().isoformat()n})nndef choose_node(self):ncandidates = [nnode for node in self.nodesnif node.can_accept()n]nnif not candidates:nreturn Nonenncandidates.sort(nkey=lambda node: node.runningn)nnreturn candidates[0]nndef run_once(self):nnode = self.choose_node()nnif not node:nself.logs.append({n"event": "no_available_node",n"queue_size": self.queue.size(),n"time": datetime.now().isoformat()n})nnreturn []nnif self.queue.size() == 0:nreturn []nnbatch_size = min(nnode.max_batch_size,nself.queue.size(otterly.cn)n)nnbatch = self.queue.pop_batch(batch_size)nnself.logs.append({n"event": "dispatch_batch",n"node_id": node.node_id,n"model": node.model_name,n"batch_size": len(batch),n"time": datetime.now().isoformat()n})nnresults = node.infer_batch(batch)nnself.logs.append({n"event": "batch_finished",n"node_id": node.node_id,n"results": results,n"time": datetime.now().isoformat()n})nnreturn resultsn"}]},{"type":"paragraph","attrs":{"id":"59e74a3d-04d7-4df9-84c6-3abd20967896","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"调度器是系统核心。"}]},{"type":"paragraph","attrs":{"id":"f5a63786-eb20-4c7e-9b49-5366563aa78b","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"它决定请求什么时候执行、交给哪个节点执行，以及是否可以合并成批量请求。"}]},{"type":"horizontalRule","attrs":{"id":"150dc244-ccd5-4528-96b1-f026160e6e34","isHoverDragHandle":false}},{"type":"heading","attrs":{"id":"93e3e8fd-be4f-4f67-b63e-65e144b44c16","textAlign":"inherit","indent":0,"level":2,"isHoverDragHandle":false},"content":[{"type":"text","text":"六、弹性伸缩：根据队列长度扩容"}]},{"type":"paragraph","attrs":{"id":"4bef7168-86e3-42a3-be13-6243c72fe84c","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"第五步是简单弹性伸缩。"}]},{"type":"paragraph","attrs":{"id":"ab4c7b41-f39c-4c3b-a247-f757eddd8036","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"如果队列过长，系统可以增加新节点；如果队列为空，生产系统也可以缩容。"}]},{"type":"codeBlock","attrs":{"id":"e4689989-c702-4388-a9da-36cf83d81184","language":"javascript","theme":"atom-one-dark","runtimes":0,"isHoverDragHandle":false,"key":"","languageByAi":"javascript"},"content":[{"type":"text","text":"def autoscale_nodes(scheduler):nqueue_size = scheduler.queue.size()noldest_wait_ms = scheduler.queue.oldest_wait_ms()nnif queue_size >= 5 or oldest_wait_ms > 3000:nnew_node_id = f"node-{len(scheduler.nodes) 1}"nnnew_node = ModelNode(nnode_id=new_node_id,nmodel_name="GENERAL_MODEL",nmax_batch_size=3,navg_latency=0.3,nfail_rate=0.05n)nnscheduler.nodes.append(new_node)nnscheduler.logs.append({n"event": "scale_out",n"new_node": new_node_id,n"queue_size": queue_size,n"oldest_wait_ms": oldest_wait_ms,n"time": datetime.now().isoformat()n})n"}]},{"type":"paragraph","attrs":{"id":"98eacd07-2c5a-4d4c-b6fe-16f0cf399a37","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"弹性伸缩是推理降本的重要能力。"}]},{"type":"paragraph","attrs":{"id":"50b7903c-63f3-45d2-b29e-80cd2ae4ad2d","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"高峰期扩容，低峰期缩容，可以提升资源利用率。"}]},{"type":"horizontalRule","attrs":{"id":"151ae34d-e378-4225-8f4c-89df6d0b7f72","isHoverDragHandle":false}},{"type":"heading","attrs":{"id":"3e036089-83a4-49d6-aa19-cc9b16eef76a","textAlign":"inherit","indent":0,"level":2,"isHoverDragHandle":false},"content":[{"type":"text","text":"七、生成运行报告"}]},{"type":"paragraph","attrs":{"id":"a7e90e2c-43af-4449-9ab4-4556a8dd6384","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"第六步是生成调度报告。"}]},{"type":"paragraph","attrs":{"id":"5947b14d-2548-4b02-bb71-0cbf7cd34482","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"报告包含队列长度、节点状态、日志和整体运行情况。"}]},{"type":"codeBlock","attrs":{"id":"0f195db7-c549-4180-b2dc-b95195bd9f0b","language":"javascript","theme":"atom-one-dark","runtimes":0,"isHoverDragHandle":false,"key":"","languageByAi":"javascript"},"content":[{"type":"text","text":"def generate_scheduler_report(scheduler):nreturn {n"report_name": "AI 推理调度运行报告",n"queue_size": scheduler.queue.size(),n"oldest_wait_ms": scheduler.queue.oldest_wait_ms(),n"nodes": [nnode.metrics()nfor node in scheduler.nodesn],n"logs": scheduler.logs,n"generate_time": datetime.now().isoformat()n}n"}]},{"type":"paragraph","attrs":{"id":"dc56ff92-8c20-4f8a-aad9-0cd2006dc03e","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"调度报告可以帮助团队观察推理系统是否健康。"}]},{"type":"paragraph","attrs":{"id":"5b3cfab3-bb25-4425-ac7d-bca659263709","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"如果队列长期过长，说明模型资源不足；如果节点长期空闲，说明资源可能浪费。"}]},{"type":"horizontalRule","attrs":{"id":"4fb5181c-a46b-4efe-8969-4839633434c2","isHoverDragHandle":false}},{"type":"heading","attrs":{"id":"c5e118e4-dbcb-447d-9bc0-dfe4831cd06e","textAlign":"inherit","indent":0,"level":2,"isHoverDragHandle":false},"content":[{"type":"text","text":"八、运行示例：模拟高峰请求"}]},{"type":"paragraph","attrs":{"id":"5f3167b6-6c45-42af-8c6e-bb3ab2bd3b18","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"最后写一个运行入口，模拟多个请求进入系统。"}]},{"type":"codeBlock","attrs":{"id":"a70a5766-62d6-490e-bc30-de22f7fbb8e1","language":"javascript","theme":"atom-one-dark","runtimes":0,"isHoverDragHandle":false,"key":"","languageByAi":"javascript"},"content":[{"type":"text","text":"if __name__ == "__main__":nnodes = [nModelNode(nnode_id="node-1",nmodel_name="GENERAL_MODEL",nmax_batch_size=3,navg_latency=0.3n)n]nnscheduler = InferenceScheduler(nodes)nnfor index in range(10):nrequest = InferenceRequest(nrequest_id=f"req-{index 1}",nuser_id="user_001",ntask_type="summary",nprompt=f"请总结第 {index 1} 篇技术文章",npriority=random.randint(1, 10)n)nnscheduler.submit(request)nnwhile scheduler.queue.size() > 0:nautoscale_nodes(scheduler)nscheduler.run_once()nnreport = generate_scheduler_report(scheduler)nnprint(json.dumps(nreport,nensure_ascii=False,nindent=2n))n"}]},{"type":"horizontalRule","attrs":{"id":"e32f8a05-ed85-40f3-85a4-aad1f8b4a9c4","isHoverDragHandle":false}},{"type":"heading","attrs":{"id":"f46fc30b-fc87-4065-a4c1-3b15da638492","textAlign":"inherit","indent":0,"level":2,"isHoverDragHandle":false},"content":[{"type":"text","text":"九、趋势判断"}]},{"type":"paragraph","attrs":{"id":"b9c8b789-5e94-4e20-8e87-80f7696d9740","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"从这套流程可以看到，大模型推理正在变成系统工程问题。"}]},{"type":"paragraph","attrs":{"id":"50f0afd1-4de3-4ce3-9782-e0e5503aa1c8","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"过去，开发者只需要关心如何调用模型；未来，团队需要关心队列、批处理、优先级、弹性伸缩、失败率和资源利用率。"}]},{"type":"paragraph","attrs":{"id":"4115f181-d7b4-4879-9ed2-6bc730af8130","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"随着 AI 应用调用量增长，推理调度会越来越重要。"}]},{"type":"paragraph","attrs":{"id":"a7a176bc-2baa-4944-a9fa-d27c4ed376e2","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"它不仅影响响应速度，也影响模型成本和系统稳定性。"}]},{"type":"paragraph","attrs":{"id":"2058763a-bd4b-4b09-9c72-b1cc6f4eea16","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"未来，大模型应用不会只拼模型效果，也会拼推理基础设施能力。谁能更好地调度请求、利用资源、控制排队时间，谁就更容易把 AI 应用规模化落地。"}]}]}","createTime":1782903711,"ext":{"closeTextLink":0,"comment_ban":0,"description":"","focusRead":0},"favNum":0,"html":"","isOriginal":0,"likeNum":0,