智算基础设施 · 企业级 AI 解决方案AI infrastructure · Enterprise AI

从算力,
到智能。
From compute
to intelligence.

Branpont 建设并运营面向 AI 的数据中心,提供高性能 GPU 算力;再以前线部署工程(FDE)模式,把大模型变成您业务中真正运行的系统。 Branpont builds and operates AI-ready data centers and delivers high-performance GPU compute — then puts large models into production inside your business through forward deployed engineering.

示意界面,数据为虚构。Illustrative interface; data is fictional.

两大业务What we do

算力与应用,一站交付。Compute and applications, delivered as one.

底层是可靠的算力,上层是可度量的业务结果。两条业务线共享同一支工程团队与同一套交付标准。Reliable compute underneath, measurable business outcomes on top. Both lines share one engineering team and one delivery standard.

01 — 智算基础设施AI Infrastructure

为 AI 而建的数据中心与算力Data centers and compute, built for AI

涵盖智算中心(AIDC)建设与运营、数据中心托管与互联、GPU 算力服务。从供配电、液冷到无损网络,为训练与推理提供全栈底座。AI data center (AIDC) design-build-operate, colocation and interconnection, and GPU cloud — from power and liquid cooling to lossless networking, the full stack for training and inference.

02 — 企业级 AI 解决方案Enterprise AI Solutions

让大模型在业务中真正运行Large models, running in your business

以前线部署工程(FDE)模式交付:从场景评估、知识库与智能体开发,到私有化部署与持续运营,按约定的业务指标验收。Delivered through forward deployed engineering — from use-case assessment, knowledge bases and AI agents to self-hosted deployment and ongoing operations, accepted against agreed business metrics.

全栈能力Full stack

一个团队,
从机房到应用。
One team, from data hall to application.

模型运行在我们建设与运维的集群上,应用由同一支工程团队交付。算力规划与业务场景一起设计,问题在一处闭环。Your models run on clusters we build and operate, and your applications are delivered by the same engineering team. Capacity is planned together with the use case, and every issue closes in one place.

  • 算力与应用统一规划,避免资源错配Compute and applications planned together — no stranded capacity
  • 推理时延与词元(Token)成本端到端优化Inference latency and token cost optimized end to end
  • 一套服务等级,一条升级通道One service level and one escalation path across the stack
业务应用ApplicationsL5 · 企业级 AIEnterprise AI
智能客服Customer service知识助手Knowledge assistants智能问数Conversational BI
智能体与模型平台Agents & modelsL4 · 企业级 AIEnterprise AI
RAG工作流编排OrchestrationMCP评测EvalsLLMOps
算力调度SchedulingL3 · 智算基础设施AI Infrastructure
KubernetesSlurm多租户隔离Multi-tenancy可观测性Observability
算力集群ComputeL2 · 智算基础设施AI Infrastructure
GPU 服务器GPU serversInfiniBand / RoCE并行存储Parallel storage
数据中心Data centerL1 · 智算基础设施AI Infrastructure
冷板式液冷Cold-plate cooling2N 供电2N power7×24 运维24/7 operations

工程指标By the numbers

为高密度 AI 负载而设计。Designed for high-density AI.

≤1.25设计 PUEDesign PUE
140 kW液冷单柜设计功率(最高)Max design power per liquid-cooled rack
3.2 Tb/s单节点 RDMA 带宽(8 × 400G)RDMA bandwidth per node (8 × 400G)
99.99%供电可用性 SLA(按月统计)Power availability SLA (monthly)

以上为示例设计指标,具体以项目合同与现场条件为准。Representative design targets; final figures depend on site and contract.

智算基础设施AI Infrastructure

从单个机柜,到整座智算中心。From a single rack to an entire AI data center.

按需选择交付形态:托管您自有的服务器、使用 GPU 算力服务,或由我们为您设计、建设并运营一座智算中心。Choose how you consume it: colocate your own servers, use our GPU cloud, or have us design, build and operate an AI data center for you.

了解智算基础设施Explore AI infrastructure

智算中心(AIDC)AI data centers (AIDC)

面向 GPU 集群的规划咨询、设计、EPC 总承包与运营,支持冷板式液冷与高密度供配电。Planning, design, EPC delivery and operations for GPU clusters, with cold-plate liquid cooling and high-density power.

  • 选址与能评Site selection & energy review
  • 高密度液冷设计High-density liquid-cooled design
  • 预制模块化交付Prefabricated modular delivery
  • 智算中心代运营AIDC operations
了解更多Learn more

托管与互联Colocation & interconnection

零售型与批发型机柜托管、定制化建设(BTS),配套 BGP 多线带宽、云专线与 7×24 现场支持。Retail and wholesale colocation and build-to-suit capacity, with multi-carrier BGP, cloud on-ramps and 24/7 remote hands.

  • 机柜托管Retail colocation
  • 批发型托管与 BTSWholesale & build-to-suit
  • BGP 多线与云专线BGP & cloud on-ramps
  • 远程协助与专家现场支持Remote & smart hands
了解更多Learn more

GPU 算力服务GPU cloud

GPU 云服务器、裸金属与专属训练集群,配套无损网络与并行存储;支持按量计费、包年包月与预留容量。GPU instances, bare metal and dedicated training clusters with lossless networking and parallel storage — on demand, by subscription or reserved.

  • GPU 云服务器GPU instances
  • GPU 裸金属Bare-metal GPUs
  • 专属训练集群Dedicated training clusters
  • 推理服务Inference endpoints
了解更多Learn more

企业级 AI 解决方案Enterprise AI Solutions

大模型在业务中的样子。What large models look like at work.

按业务职能浏览典型场景。每个场景都由前线部署工程师与您的团队共同完成,从原型到生产。Browse typical use cases by function. Each one is built with your team by forward deployed engineers, from prototype to production.

查看全部场景See all use cases

智能客服与坐席辅助AI customer service & agent assist

结合知识库与订单系统自动应答;复杂问题转人工时,自动生成会话摘要与建议回复。Answers routine requests from the knowledge base and order system, and hands complex cases to human agents with a summary and a suggested reply.

知识库问答Knowledge Q&A工单摘要Ticket summaries坐席辅助Agent assist

智能质检Conversation QA

对通话与在线会话全量质检,识别违规话术、情绪风险与服务改进点,替代人工抽检。Reviews every call and chat for non-compliant scripts, sentiment risk and coaching points — instead of manual sampling.

语音转写Transcription合规检测Compliance checks

营销内容生成Marketing content generation

按品牌规范批量生成多渠道文案与素材,内置审核流程与生成内容标识。Generates on-brand copy and assets for every channel at scale, with review and AI-content labeling built in.

品牌规范Brand rules多语种Multilingual内容审核Review flow

销售助手Sales copilot

自动整理客户画像与会议纪要,生成跟进计划和方案初稿,并回写 CRM。Builds account briefs and meeting notes, drafts follow-ups and proposals, and writes back to the CRM.

CRM 集成CRM integration会议纪要Meeting notes方案生成Proposal drafts

研发智能体Coding agent

私有化部署的代码补全、评审与测试生成,基于内部代码库检索,代码不出内网。Self-hosted code completion, review and test generation grounded in your repositories — code never leaves your network.

代码评审Code review测试生成Test generation私有化Self-hosted

IT 运维助手AIOps assistant

聚合日志、指标与告警,自动定位根因,生成处置建议与变更记录。Correlates logs, metrics and alerts to find root causes, then drafts remediation steps and change records.

告警分析Alert triage根因定位Root cause

企业知识助手Enterprise knowledge assistant

连接文档、制度与业务系统,按权限回答问题,每个答案都可追溯到原文。Connects documents, policies and systems to answer within each user's permissions — every answer cites its source.

权限感知Permission-aware引用溯源Cited answers

合同审查Contract review

抽取关键条款,标注风险与偏离项,生成审查意见初稿,经法务复核后定稿。Extracts key clauses, flags risks and deviations, and drafts review comments for legal to finalize.

智能文档处理Intelligent document processing风险标注Risk flags人工复核Human review

费用审核Expense audit

识别发票与单据,对照报销制度自动审核,异常单据附理由转人工处理。Reads invoices and receipts, checks them against policy, and routes exceptions to a reviewer with reasons.

票据识别Receipt OCR制度校验Policy checks

供应链智能体Supply-chain agent

调用 ERP、MES 等系统工具,自动完成库存核查、排产评估与交付确认。Calls ERP and MES tools to check inventory, assess schedules and confirm delivery dates.

工具调用Tool calling多系统集成Multi-system

设备运维助手Maintenance copilot

结合设备手册、维修记录与实时告警,给出排障步骤与备件建议。Combines manuals, repair history and live alarms into step-by-step fixes and spare-part suggestions.

故障诊断Diagnostics经验沉淀Know-how capture

智能问数Conversational BI

用自然语言查询经营数据,自动生成图表,并对指标异动做归因分析。Ask business questions in plain language and get charts plus root-cause analysis of metric changes.

ChatBI指标归因Root-cause analysis

前线部署工程(FDE)Forward Deployed Engineering

工程师嵌入团队,对结果负责。Engineers embedded with your team, accountable for results.

前线部署工程师(Forward Deployed Engineer,FDE)与您的业务专家组成联合交付团队,从场景评估一路做到生产上线,并按约定的业务指标验收。Forward deployed engineers form one delivery team with your domain experts — from use-case assessment all the way to production, accepted against agreed business metrics.

了解 FDE 交付模式How FDE works
  1. 场景评估Discover

    1–2 周1–2 weeks

    访谈与流程走查,用价值-可行性矩阵选出首批场景,确定基线与成功标准。Interviews and process walkthroughs; a value–feasibility matrix picks the first use cases and sets baselines and success criteria.

  2. 共创验证(PoC)Prove (PoC)

    2–4 周2–4 weeks

    用真实数据构建原型,建立评测集;评测指标达标后进入试点。Build on real data and establish an eval set; move on only when the metrics clear the bar.

  3. 试点上线(MVP)Pilot (MVP)

    6–12 周6–12 weeks

    接入真实系统与权限,灰度运行,按业务 KPI 与基线对比。Connect real systems and permissions, roll out gradually, and measure business KPIs against the baseline.

  4. 规模化推广Scale

    按场景复制Use case by use case

    把验证过的方案沉淀为平台能力与模板,复制到更多部门。Turn what works into platform capabilities and templates, then roll it out to more teams.

  5. 持续运营(LLMOps)Operate (LLMOps)

    长期Ongoing

    回归评测、坏例闭环、成本治理与模型升级,按季度复盘业务价值。Regression evals, error analysis, cost governance and model upgrades, with quarterly value reviews.

周期为典型参考,实际周期取决于场景复杂度以及数据与系统接口的就绪程度。Durations are typical; actual timelines depend on scope and on how ready your data and system interfaces are.

交付物You keep 源代码Source code 评测集Eval sets 架构文档Architecture docs 运行手册Runbooks 监控看板Dashboards

开放生态Open ecosystem

兼容您已有的技术栈。Works with the stack you already run.

NVIDIA HGXNVIDIA GB300 NVL72AMD Instinct昇腾 AscendHuawei AscendInfiniBand NDRRoCE v2冷板式液冷Cold-plate cooling浸没式液冷Immersion coolingKubernetesSlurmLustreCeph
PyTorchMegatron-LMDeepSpeedvLLMSGLangTensorRT-LLMDeepSeekQwenGLMKimiMCPLangGraphMilvusElasticsearch

可靠与合规Reliability & compliance

可用、可控、可审计。Available. Controllable. Auditable.

高可用架构High availability

2N 供电、N+1 制冷与多路由网络,按 Uptime Tier III 标准设计。2N power, N+1 cooling and diverse network routes, designed to Uptime Tier III.

数据不出域Data stays in your domain

私有化或专属部署:存储、推理与数据流转均在您的环境内完成。Self-hosted or dedicated deployment — storage, inference and data flows all stay inside your environment.

合规就绪Compliance-ready

可在等保三级环境交付;协助生成式人工智能服务备案与登记,生成内容按 GB 45438-2025 标识。Can be delivered in MLPS Level 3 environments. We support generative-AI filing and registration, and label AI content per GB 45438-2025.

国产算力适配Ready for domestic compute

支持国产 AI 加速卡、CPU、操作系统与数据库,满足信创要求。Supports domestic AI accelerators, CPUs, operating systems and databases for Xinchuang requirements.

一起构建
下一代智能。
Let's build
what's next.

告诉我们您的算力需求或业务场景,解决方案架构师将与您联系。Tell us about your compute needs or your use case, and a solutions architect will get in touch.

或直接发送邮件至Or email contact@branpont.com