AI / LLM Deployment & Operations on Linux
Private deployment, tuning and operations of mainstream open-source LLMs such as DeepSeek, Qwen and Llama.
Learn moreFull 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.
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 deployment, tuning and operations of mainstream open-source LLMs such as DeepSeek, Qwen and Llama.
Learn moreRun 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 morePorting, deployment and operations of AI agent platforms on Kylin, UOS and other domestic Xinchuang platforms.
Learn moreCustom AI agent development, system integration and ongoing operations built around your business scenarios.
Learn morevLLM deployment and tuning built on PagedAttention — maximise per-GPU concurrency and utilisation across NVIDIA and AMD accelerators for high-throughput online inference.
Learn moreSGLang 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 moreWe 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 moreInstallation, configuration, tuning, troubleshooting and version migration for RHEL and CentOS.
Learn moreNearly 20 years focused on Linux and open source, bringing proven production experience to your business.
Focused on Linux support since 2007, with a large body of real production case studies.
Senior Linux system engineers together with kernel and application developers, offering vendor-level diagnostic skill.
An always-on incident channel prioritises critical outages to keep business interruption to a minimum.
Deep experience with Kylin, UOS and other domestic platforms for a smooth, compliant transition.
Four clear, transparent steps that keep every engagement efficient and under control.
We review your environment, pain points and expectations.
A tailored technical plan, a defined scope of work and a transparent quotation.
Agreed service levels and response times, deployed quickly.
Regular health checks, proactive operations and on-call technical support.
The latest from the Linux ecosystem, Xinchuang localization and AI.
From 2007 to 2025, Shanghai Hanshui Information Technology Services Co., Ltd. has gone through nearly two decades, always focused on Linux and open source technical services.
As the Xinchuang (China's IT-application-innovation push) industry advances, adapting software to domestic operating systems has become an important issue in enterprise IT build-outs.
The Linux 7.4 development cycle reached its first release candidate on November 1, capping an unusually busy merge window even as Linus Torvalds was on vacation. The -rc1 release includes a broad set of architecture updates, filesystem improvements across the VFS layer, performance tooling enhancements, and core kernel work spanning networking, Rust driver infrastructure, eBPF extensions, and memory management.
The Linux 7.4 merge window produced nearly 18,000 Git commits, marking it the busiest merge window ever recorded and pushing the total kernel source tree toward 42 million lines. Phoronix analyst Michael Larabel attributed a significant portion of the recent uptick to AI-assisted code contributions, noting that large language models have become embedded in developer workflows across the kernel community.
After missing two consecutive Go/No-Go targets due to blocker bugs and incomplete RC composes, Fedora 45 has been declared ready to ship with a formal release scheduled for November 3. The desktop edition features GNOME 51 Workstation, while server builds include Go 1.27, Python 3.15, GCC 16.2 compiler, glibc 2.44, LLVM 23, and RPM 6.1.
The Mesa RADV driver — the primary open-source Vulkan implementation for AMD Radeon GPUs on Linux — has established a formal policy governing the use of large language models and generative AI in code submissions. Under the new guidelines, contributors who use AI tools to write, review, or refactor patches must disclose AI involvement in their commit messages.