AI / LLM Deployment & Operations on Linux
Private deployment, tuning and operations of mainstream open-source LLMs such as DeepSeek, Qwen and Llama.
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Founded in 2007 · 20 years of Linux expertise
Professional Linux support
Professional Linux support
Keeping your IT infrastructure stable
Full coverage of mainstream operating systems — Ubuntu, RedHat, CentOS, Kylin, UOS, openEuler and more — plus managed operations, Xinchuang localization, Kubernetes private cloud and AI/LLM deployment & operations. 24/7 technical support.
0Years of experience
Tens of thousandsClients served
7×24Hours of support
Core Services
Core services
A portfolio of 31 professional services across the full lifecycle of your IT infrastructure — operating systems, software development, managed operations, cloud-native and AI/Xinchuang.
Private LLM Inference Engine Deployment (vLLM / SGLang)
Run open-weight LLM inference inside your own GPU environment, with both vLLM and SGLang supported. Data stays in-house, costs stay under control, and the OpenAI-compatible interface lets chat, RAG and agent workloads move over smoothly.
Learn moreAI Agent Deployment on Xinchuang Platforms
Porting, deployment and operations of AI agent platforms on Kylin, UOS and other domestic Xinchuang platforms.
Learn morePrivate Enterprise AI Agent Development
Custom AI agent development, system integration and ongoing operations built around your business scenarios.
Learn morevLLM Inference Engine Deployment & Tuning
vLLM deployment and tuning built on PagedAttention — maximise per-GPU concurrency and utilisation across NVIDIA and AMD accelerators for high-throughput online inference.
Learn moreSGLang Inference Engine Deployment & Tuning
SGLang deployment and tuning built on RadixAttention — reuse KV cache across shared-prefix workloads such as multi-turn chat, RAG and agents to cut time-to-first-token and duplicated compute.
Learn moreInference Engine Selection & Benchmark Load Testing
We benchmark vLLM and SGLang against your real traffic using tools such as GuideLLM, then deliver a selection conclusion, tuning parameters and hardware sizing advice.
Learn moreRedHat / CentOS Linux Support
Installation, configuration, tuning, troubleshooting and version migration for RHEL and CentOS.
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Why Choose Us
Why choose Hanshui
Nearly 20 years focused on Linux and open source, bringing proven production experience to your business.
20 years of experience
Focused on Linux support since 2007, with a large body of real production case studies.
Seasoned engineering team
Senior Linux system engineers together with kernel and application developers, offering vendor-level diagnostic skill.
Rapid 7×24 response
An always-on incident channel prioritises critical outages to keep business interruption to a minimum.
Xinchuang & compliance
Deep experience with Kylin, UOS and other domestic platforms for a smooth, compliant transition.
0Years of service experience
Tens of thousandsEnterprises served
0Hour response time
31professional services
Service Process
A standardised process
Four clear, transparent steps that keep every engagement efficient and under control.
1
Requirements
We review your environment, pain points and expectations.
2
Proposal & quote
A tailored technical plan, a defined scope of work and a transparent quotation.
3
Delivery
Agreed service levels and response times, deployed quickly.
4
Ongoing operations
Regular health checks, proactive operations and on-call technical support.
News
News & insights
The latest from the Linux ecosystem, Xinchuang localization and AI.
2026-10-09 · Company Updates
公司成立十八周年：专注 Linux 技术服务，服务企业数万家
从 2007 到 2025，上海汉水信息技术服务有限公司走过近二十年，始终专注于 Linux 与开源技术服务。
2026-11-01 · Xinchuang localisation
Qwen Integrated into China-Version Apple Intelligence: A Domestic LLM Becomes a System-Level Foundation for the First Time, Beta Opens 4 November
Reported on 31 October, Alibaba's Tongyi Qianwen will be integrated into Apple Intelligence on mainland Chinese devices, with beta testing expected to open on 4 November and general availability in December alongside iOS 27.3. It is the first time a domestic large model enters a mainstream consumer electronics ecosystem as a system-level foundation, signalling that Chinese AI capability is reaching far broader endpoints within a compliance framework.
2026-11-01 · AI Technology
DeepSeek Open Sources Its Super-agent Architecture: 12.4 Minute Median Multi-Task Completion Time, Targeting "Persistent Execution" Agents
Reported on 1 November, DeepSeek has open sourced its Super-agent architecture, which completes multi-task scenarios with a median time of 12.4 minutes and a 95th-percentile single session of about 29.5 minutes. The emphasis shifts from whether an agent can answer to whether it can keep working, giving developers a reference implementation for long-horizon, multi-step task orchestration.