End-to-end AI deployment, hardware to model
Not locked to one brand. GNS evaluates hardware, plans architecture and deploys models to fit your scenario and budget.
Overview
Deploying AI is not just buying GPUs. Hardware, models and application integration must all align or the investment fails to pay back.
AI is not just software. From GPU workstations and inference servers to model selection and on-prem deployment, every layer affects whether AI actually ships. GNS delivers the full stack so your AI investment lands.
We are not locked to one brand. From on-prem LLM and RAG knowledge bases to vision AI and OCR, we build local, controllable and compliant AI for Hong Kong SMEs.
Best fit: Suitable for Hong Kong SMEs deploying on-prem LLMs, vision AI, OCR, or research GPU workstations.
What we do
End-to-end AI deployment, hardware to model
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AI hardware evaluation and procurement
Source GPU workstations, AI servers or compute devices for training, inference or edge. Brand-agnostic.
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AI server and GPU workstation deployment
Hardware install, CUDA environment, container deployment, inference service go-live.
- 03
On-premises AI
Run LLMs, vision models and speech models on your own hardware. Data stays in-house, compliant by design.
- 04
RAG and private LLM
Combine LLMs with your enterprise documents and databases into a queryable, citeable private assistant.
- 05
Vision AI, OCR and defect detection
CCTV video analytics, document digitisation, form recognition, product defect detection.
- 06
Fine-tuning and application integration
Fine-tune models for your industry and integrate into CRM, ERP or internal tools.
Why choose GNS
AI solutions
- 01
Hardware to application, one team
One team owns hardware, model deployment and integration. No finger-pointing.
- 02
Brand-agnostic
We source the right hardware for your needs and budget, free from vendor lock-in.
- 03
ISO/IEC 27001 aligned
AI deployments built to information security standards. Data privacy by design.
FAQ
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Which AI hardware brands do you carry?
We are not locked to one brand. Based on workload and budget, we source leading brands such as NVIDIA, Supermicro, ASUS and Dell.
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Can we run AI on our own servers?
Yes. We provide on-prem AI deployment, running LLMs and vision models on your own hardware so data never leaves your environment.
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What does an AI deployment cost?
Depends on compute scale, model size and user count. We start with your scenario, then provide a clear hardware and deployment quote.
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Can you build RAG on our internal documents?
Yes. We combine an LLM with your knowledge base, PDFs and internal documents into a queryable, citeable private assistant. Data stays on your servers.
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What's the difference between on-prem AI servers and cloud AI services?
Cloud AI (e.g. OpenAI API) suits fast prototyping and small-scale use, billed per usage. On-prem AI servers suit heavy inference, privacy-sensitive data, or workloads needing stable long-term cost — higher upfront investment but declining unit cost as usage grows. We can model the break-even point for your workload.
Ready to upgrade your IT foundation?
Reach out to GNS Technology for a free initial assessment. Let's understand your needs together.