Sourced intelligence, informed selection
Public assessments show office, reasoning and coding capabilities. Choose around your actual tasks; our homepage provides AA and SWE-bench Pro rankings, dates and sources.
QWEN / LOCAL DEPLOYMENT
Put Qwen intelligence into your own business workflows.
Assess dual-Spark configurations, quantized inference and application integration for Qwen3.8-Flash-Next. Bring office work, development and document questions into a controlled business environment.
Hong Kong stock · Models and configuration agreed to your needs
Official NVIDIA product image. Configuration and local performance are confirmed through planning and tests.
WHAT THIS BRINGS TO YOUR WORK
Intelligence grounded in work you can verify.
Start with a dual-Spark assessment
Assess complete weights, precision, inference framework and interconnect conditions. MoE active parameters do not represent full model memory requirements.
Connect retrieval and role assistants
Combine authorised documents, retrieval and citations into assistants for specific roles. Tool use and business-system integrations are agreed per project.
DELIVERY APPROACH
Validate one workflow, then expand.
- 01
Define test tasks
Prepare everyday questions, coding tasks or documents, with answer, citation and workflow requirements.
- 02
Compare models and configurations
Lock checkpoint, precision, framework, context and network configuration; compare quality and resource use.
- 03
Agree the delivery scope
Test concurrency and long context. Confirm access, assistant features and ongoing operations.
FAQ / COMMON QUESTIONS
Clear expectations before deployment.
Model intelligence and local delivery are verified separately. Homepage benchmark scores are not our Spark measurements.
NVIDIA hardware specifications ↗Model intelligence, rankings and sources ↗Are public scores local Spark results?
No. Public benchmarks assess the model. Local quantized results depend on checkpoint, precision, framework and business samples. Quality and performance are verified separately before delivery.
Can the system run fully offline?
We can design internal-network inference and local retrieval. External tools, licences, downloads, updates and network policies require individual confirmation.
How many simultaneous users can it support?
Context, output length, precision, framework and concurrency strategy determine capacity. We test actual workloads rather than translating memory capacity into a user count.
NEXT STEP / TALK TO US
Bring your workload. See a real demonstration.
Tell us your tasks, document formats and expected users. We can confirm models, configuration and delivery scope together.
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Choose your starting point
Start local AI with one clear business need.
DGX SPARK / HONG KONG
DGX Spark enterprise AI deployment
Single- and dual-node planning, model configuration, business knowledge and assistant integration. Hardware availability and deployment are confirmed for each proposal; services are quoted separately.
Explore the solution PRIVATE KNOWLEDGE / BUSINESS AITurn business documents into answers you can check.
Build a private business AI knowledge base with DGX Spark: local inference, document retrieval, citations and role assistants validated with your data.
Explore the solution