科研教育Research & Education
为高校与科研院所打造"算力 + 模型 + 教学"一体化平台。科研智算集群支撑前沿探索，学科大模型革新教学模式，让 AI 成为每位科研工作者与师生的得力助手。Compute + models + teaching in one platform for universities: research clusters for frontier science, subject LLMs for next-gen education.
AI for Science 的黄金时代The Golden Age of AI for Science
科研范式变革与教育创新机遇。Research paradigm shift and education innovation.
AI for Science 正在成为科研第五范式：AlphaFold 破解蛋白质折叠难题，大模型加速文献发现与假设生成，科研智能化已从概念走向日常。与此同时，"人工智能 + 教育"的深度融合，让因材施教的两千年理想第一次具备了规模化实现的技术条件。AI for Science is the fifth paradigm: AlphaFold solved protein folding, LLMs accelerate literature discovery and hypothesis generation. Meanwhile AI-powered personalized learning is finally scalable.
然而高校普遍面临算力分散、重复建设、共享难的现实困境。钛一数智以校级统一智算平台为载体，科研与教学双轮驱动，让有限的算力投入产生最大的学术与育人价值。Yet universities struggle with fragmented, duplicated compute. TaiYi builds campus-wide unified platforms that maximize both academic and educational returns.
智慧校园总体架构Smart Campus Architecture
"一平台两驱动 N 学科"的高校智能化架构。One platform, two drivers, N disciplines.
核心应用场景Key Scenarios
从实验室到课堂的全场景覆盖。From laboratory to classroom.
百万文献秒级检索、跨论文对比分析、研究空白自动发现。Million-paper search and gap discovery.
Notebook 环境即开即用，分布式训练一键发起，算力券计费。Notebooks with one-click distributed training.
24 小时答疑、作业智能批改、学习路径个性化推荐。24/7 Q&A, grading and learning paths.
医学、法学、材料等学科语料微调，专业问答超越通用模型。Domain-tuned models that beat general ones.
高危实验虚拟仿真、临床技能训练、工程仿真实训。Virtual labs for hazardous experiments.
学科发展态势分析、人才画像、成果影响力多维评估。Discipline trends and impact analytics.
标准化交付方案Standardized Delivery
高校科研教育交付规格标准。Academic delivery specifications.
| 平台规格Platform | |
|---|---|
| 算力规模Compute scale | 校级平台 64–512 卡起步，支持分期扩容Campus platforms from 64–512 GPUs |
| 多租户体系Tenancy | 院系-课题组-个人三级租户，配额与优先级管理Three-level tenancy with quotas |
| 教学并发Teaching capacity | 支持 2000+ 学生同时上机实验，镜像秒级分发2000+ concurrent lab sessions |
| 科研调度Research scheduling | GPU 队列分级，抢占式与公平共享可配Tiered GPU queues, preemptive or fair |
| 资源与环境Resources & Environments | |
| 预置环境Preset images | PyTorch/JAX/DeepSpeed 等主流框架镜像库Curated framework image library |
| 数据集Datasets | 常用学术数据集预置，校内数据集空间托管Preset academic datasets and hosting |
| 文献资源Literature | 对接主流文献数据库 API，校内知识库共建Database API integration |
| 模型仓库Model hub | HuggingFace 模型镜像加速，校内模型共享仓HF mirror and campus model hub |
| 实施与运营Delivery & Operations | |
| 建设周期Timeline | 一期平台 3–4 个月上线，学科场景分批交付Phase 1 in 3–4 months |
| 教材课程Curriculum | 配套 AI 教材、实验手册、师资培训包Textbooks, lab manuals, teacher training |
| 产教协同Industry synergy | 企业真实数据集与课题共建，实习就业通道Real datasets, joint topics, career paths |
| 运营模式Operations | 校方自运营或委托运营，科研券制度配套咨询Self or managed operations |
经客户验证的价值Proven Value
更多行业方案More Industries
让 AI 成为校园的新基础设施AI as Campus Infrastructure
提供校级智算平台规划咨询与学科场景共建合作，支持教育专属优惠采购。Campus platform consulting, co-built discipline scenarios and education pricing available.