Why deploy DeepSeek privately
Private deployment is not merely downloading weights. It establishes governed boundaries for data, access, cost, and operations.
Keep models, documents, vectors, and invocation logs in the enterprise environment.
Compare self-hosted and API costs using real tokens, concurrency, and service duration.
Align retrieval with existing identities, departments, and document permissions.
Connect WeCom, OA, development tools, and business APIs through one gateway.
Full-stack delivery scope
Every layer from model selection to production operations needs an owner, a boundary, and acceptance evidence.
Select model build and precision from quality, memory, context, and latency.
Size GPUs, network, storage, and expansion from the target workload.
Deploy vLLM, Ray, a unified gateway, monitoring, and recovery.
Add ingestion, inherited permissions, ranking, and source citations.
Connect WeCom, OA, developer tools, and internal APIs.
Cover function, performance, security, monitoring, backup, upgrade, and rollback.
Compute and deployment tiers
Hardware cannot be selected from parameter count alone. Model build, precision, context, KV cache, concurrency, and latency must be sized together.
Platforms such as DGX Spark suit proofs of concept, R&D, and controlled pilots.
Multi-GPU servers are sized to concurrency, context, and knowledge scale.
Multi-node H200-class compute supports large models and high-concurrency production.
Document usable context, target concurrency, performance baselines, and expansion triggers.
Six-step delivery and acceptance
Build a baseline with real workloads before finalizing compute and production architecture.
Define use case, data, concurrency, context, and security boundaries.
Specify model, compute, network, storage, and software architecture.
Install runtime, inference, gateway, monitoring, and recovery.
Evaluate precision, context, concurrency, latency, and business quality.
Connect RAG, identity, enterprise systems, and audit.
Accept function, performance, security, and operations against a checklist.
Enterprise service experience
WeCom provider status and enterprise service experience are publicly verifiable. Private LLM capability is supported separately by project-specific architecture and acceptance evidence.
Shenzhen JSLE Technology Co., Ltd. is certified in the official WeCom service-provider directory; search for “集思乐” to verify. This certification applies to WeCom services only and does not represent authorization from DeepSeek, NVIDIA, or another model vendor.
JSLE has served more than 170 enterprises through WeCom and digital services. This does not mean that 170 private LLM projects have been completed.
Discovery, sizing, deployment, integration, and acceptance are based on each project’s actual environment and evidence.
We do not publish customer names, business data, or unauthorized case details.
Frequently asked questions
How long does a DeepSeek deployment take?
The schedule depends on hardware readiness, model build, offline requirements, integration scope, and acceptance workload. A project plan follows the assessment.
How can data remain in-domain?
Models, documents, vectors, and logs can remain on the internal network, with network policy, identity, and access logs included in acceptance.
Can it integrate with WeCom and OA?
Yes. A unified model gateway and APIs connect existing systems while preserving identity and document access boundaries.
Which DeepSeek model should we choose?
Choose from business quality, memory, context, concurrency, and latency together rather than parameter count alone.
Define the workload before choosing models and compute
Share your target model, users, data boundary, and current environment. We will map capacity limits, delivery steps, and acceptance criteria.