Confirm stock and configuration
GB10 Grace Blackwell with 128 GB unified memory per Spark. Choose one or two nodes around full model weights, quantization, context and concurrency.
DGX SPARK / HONG KONG
DGX Spark in stock. Local AI, ready for your business.
Plan hardware, models and business knowledge together. Once requirements, stock configuration and your environment are ready, deployment can take as little as 3 days for the agreed scope.
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.
Keep data in a controlled environment
Run inference and document retrieval in your business environment with role-based access. Confirm external tools, updates, networks and backups separately.
Accept delivery through business tests
Use your documents and questions to check answer quality, citations and daily workflows. Peak hardware specifications are not measured model speeds.
DELIVERY APPROACH
Validate one workflow, then expand.
- 01
Confirm needs and stock
Share model preferences, document types, users and purchase or rental requirements. Agree the configuration and delivery scope.
- 02
Prepare environment and models
Confirm networking, power, access and model versions. Configure inference, quantization and dual-node links where needed.
- 03
Test and hand over
Verify quality and concurrency with business samples, then hand over usage guidance and agreed support.
FAQ / COMMON QUESTIONS
Clear expectations before deployment.
Use NVIDIA specifications for hardware selection; measure inference speed, long context and concurrency with your chosen models and workloads.
NVIDIA hardware specifications ↗Model intelligence, rankings and sources ↗What does the 3-day deployment cover?
The agreed scope after requirements, stock configuration and environment are ready. Complex data preparation, OCR, special networks and system integrations require separate planning. Timing is confirmed with the proposal.
How should we choose one or two nodes?
Each Spark has 128 GB unified memory. Dual-node 256 GB is aggregate physical capacity, requiring compatible ConnectX-7 links and distributed software. Speed, context and user capacity need measurement.
Which models can we select?
We assess Qwen, GLM and DeepSeek families. Large MoE models still require capacity for complete weights. Supported checkpoints, quantization and deployment tiers are confirmed before delivery.
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.
QWEN / LOCAL DEPLOYMENT
Put Qwen intelligence into your own business workflows.
Local Qwen3.8-Flash-Next deployment: dual DGX Spark assessment, quantized inference, business retrieval and dedicated assistants tested with your tasks.
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