Metronix helps organisations deploy, integrate and operate cloud infrastructure and AI services across Alibaba Cloud International, AWS and selected global AI platforms.
01

Compute, storage, databases, networking, content delivery and security across international cloud regions.
Deliverable: A secure and scalable cloud environment aligned with operational requirements.
02

Access selected language, reasoning, image and video generation models through supported cloud and AI platforms.
Deliverable: A commercially structured AI service environment prepared for integration.
03

Architecture, deployment, security configuration, monitoring, cost governance and ongoing technical coordination.
Deliverable: A supported production environment with clear operational ownership.
Platform recommendations are based on workload, region, architecture, security and commercial requirements.
CLOUD & AI PLATFORM
ASIA-PACIFIC & INTERNATIONAL
Cloud infrastructure and AI services for organisations operating across Asia-Pacific and international markets.
CORE INFRASTRUCTURE
GLOBAL CLOUD PLATFORM
GLOBAL MULTI-REGION
Globally distributed infrastructure for secure, scalable and resilient enterprise workloads.
CORE INFRASTRUCTURE
MULTI-REGION INFRASTRUCTURE
Our model portfolio spans language, reasoning, coding, image generation and video creation capabilities.
Alibaba Cloud Model Studio
Suitable for enterprise assistants, content processing, multilingual workflows, reasoning and selected multimodal applications.
Amazon Bedrock
Selected Claude models for enterprise knowledge work, reasoning, development support and agentic applications through Amazon Bedrock.
Alibaba Cloud Model Studio
Designed for visual creation workflows including text-to-image, image-to-video and other supported generative media applications.
OpenAI
Coding-oriented AI for software development, code understanding, engineering workflows and agent-assisted implementation.
Alibaba Cloud Model Studio
Focused on high-motion and image-to-video creation where dynamic performance and visual continuity are important.
Multimodal AI for text, images, reasoning, structured workflows and supported enterprise application use cases.
Model suitability, availability and performance depend on region, model version, workload design and technical requirements. These recommendations do not constitute guaranteed performance rankings.
Metronix can structure commercially competitive access for selected AI models based on project requirements and consumption profiles.
Wan · HappyHorse
Image and video generation workloads
Claude · Codex
Software engineering, coding agents and complex knowledge workflows
Gemini
Text, image and multimodal application workflows
Review workloads, data requirements, regions, security needs and expected consumption.
Deliverable: Requirements & Platform Assessment
Select the appropriate cloud services and AI models, then define architecture, access and governance.
Deliverable: Solution Architecture & Commercial Plan
Configure cloud resources, model access, security controls and application integration.
Deliverable: Tested Production Environment
Monitor usage, performance, availability and cost while supporting ongoing improvements.
Deliverable: Monitoring & Optimisation Support
Role-based access, authentication policies and privilege management across cloud environments.
VPC configuration, private connectivity and network segmentation for workload separation.
Data residency, classification and handling requirements evaluated per platform and region.
Continuous visibility into resource consumption, model usage and operational activity.
Budget controls, usage alerts and cost allocation frameworks for cloud and AI workloads.
Technical coordination, incident response and ongoing operational assistance.
Security, data residency and compliance requirements are evaluated according to the selected platform, deployment region and client operating environment.
Yes. Platform recommendations are based on workload, region, architecture, security and commercial requirements.
No. Qwen focuses primarily on language, reasoning and multimodal applications, while Wan and HappyHorse are more focused on generative visual and video workflows.
Selected Claude models can be accessed through Amazon Bedrock, subject to model and regional availability.
No. Codex is provided by OpenAI and Gemini is provided by Google. They are presented as separate AI offerings, not as AWS or Amazon Bedrock products.
No. Preferred pricing may be available up to 30% depending on the model, usage, billing arrangement, region, contract term and final commercial approval.
Yes. The engagement may include architecture, access configuration, integration, security controls, monitoring and operational support.
Speak with Metronix about platform selection, model access, solution architecture and project-specific commercial options.
Enterprise cloud, AI, solar and energy infrastructure. Headquartered in Singapore. Serving Asia-Pacific and Europe.
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