
TATC is a Thailand-based AI infrastructure company focused on Token API model access and Bare Metal GPU computing options for enterprise workloads.
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Thailand’s AI market is moving from experimentation into industry workflows. This TATC perspective examines where local businesses can create value across manufacturing, finance, retail, tourism and healthcare, and what it takes to scale practical AI services.
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Join us for practical AI insights, real-world business applications, and valuable networking opportunities in Bangkok.
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Empowering Businesses with AI | Unlocking New Opportunities
Read moreComputing and model-access workloads across real-time inference, generative AI, language models and multimodal analytics.
Thailand-based infrastructure, flexible model access and dedicated compute for enterprise AI.
Local GPU infrastructure supports regional enterprise AI workloads with Thailand-based bare-metal deployment and on-the-ground operational support.
A unified integration layer provides access to multiple supported AI models, with consistent API controls and usage visibility.
Single-tenant GPU servers provide isolated compute capacity, configurable networking and infrastructure matched to demanding workloads.
Six core capabilities spanning model access, infrastructure, performance, security, cost visibility and hybrid delivery.
Connect to multiple supported foundation models through a consistent API structure that simplifies integration across model providers.
Dedicated GPU bare-metal clusters combine high-density compute, high-speed networking and full-node access for AI and HPC workloads.
Optimized routing and compute configurations support responsive inference and high-throughput processing for latency-sensitive workloads.
Single-tenant infrastructure, access controls and network isolation protect enterprise workloads and separate customer environments.
Centralized usage metering and analytics provide visibility into consumption, workload patterns and infrastructure costs.
Use model APIs, dedicated GPU infrastructure or both to support cloud-connected, private and hybrid deployment architectures.
Compare multi-model API access with dedicated GPU infrastructure for inference, training and content generation.
GLM-5.3 is Z.ai’s latest flagship model, delivering comprehensive advancements in complex software engineering and agent capabilities. It uses the same base model as GLM-5.2, with all improvements driven by post-training.
Kimi K3 is Kimi’s most capable flagship model to date, with 2.8 trillion parameters. It is built on Kimi Delta Attention (KDA), a hybrid linear attention mechanism, and Attention Residuals, with native visual understanding and a 1M-token context window.
2.4-trillion-parameter MoE flagship for coding, professional work, multimodal understanding, and long-horizon agentic workflows.
32GB GDDR7 · Blackwell
96GB GDDR7 · Blackwell
Data Centre Expansion
A signed colocation arrangement at True IDC. Site readiness and equipment deployment preparations are underway for a planned future B300 deployment.
Planning a proprietary data centre concept with a 7.5 MW power goal and high-density modular air-cooled server rooms.
A possible modular expansion concept for future demand, subject to site, power and engineering review.
A long-term regional infrastructure concept; capacity and data-location options would depend on future site and service design.
Stage-one colocation capacity is contracted. Later-stage figures are planning targets, with timing and scope developing through financing, permits, power, equipment and engineering work.
Explore how business workflows, AI models and GPU infrastructure connect across three enterprise scenarios.
Visual analytics connects authorized camera and operations data with detection, review and store-management workflows.
Multilingual content, recommendations and customer-assistance workflows support cross-border commerce operations.
GPU-accelerated generation and rendering support digital video, audio, virtual presenters and content production.
Commercial Delivery
Each engagement is scoped around customer workloads, technical requirements and agreed commercial terms.
Configuration, availability, deployment location, data handling and service levels are confirmed in the applicable quotation and signed agreement.
Connect enterprise AI workloads to multi-model APIs or dedicated GPU infrastructure in Thailand.