FPT—one of Asia’s largest IT and digital transformation powerhouses—has officially secured the AWS Generative AI Competency, a designation that places the company in a relatively elite group of partners trusted by Amazon Web Services to deploy production-grade GenAI at scale.
For AWS customers, this matters: the competency isn’t awarded for marketing polish or theoretical frameworks. It’s a validation of actual deployments, proven results, mature processes, and the ability to handle complex workloads across industries. And with AI budgets rising while CIOs continue to fight rising costs, enterprises are increasingly gravitating toward partners that can deliver measurable outcomes—not pilots that never graduate from the lab.
FPT wants to be the one holding the steering wheel.
Why This Competency Matters in a Crowded GenAI Market
The AWS Generative AI Competency is explicitly designed to help enterprises cut through the noise. Everyone claims to “do GenAI.” Few can show battle-tested architectures, governance models, and production use cases at scale. FPT now sits on the short list of providers that AWS officially vouches for.
This positions the company as a go-to partner for enterprises looking to:
- Accelerate innovation cycles
- Build scalable AI pipelines
- Modernize customer experiences
- Deploy hyper-personalized content systems
- Eliminate workflow inefficiencies
- Automate complex decision-making
- Tie AI capabilities directly into business KPIs
With the competency in hand, FPT moves from “AI-capable vendor” into the category of “AI-first integrator with enterprise credibility.”
Dao Duy Cuong, FPT Software Executive Vice President and Chief Digital & Technology Officer, frames it as a proof point:
“Achieving the AWS Generative AI Competency highlights our ability to support enterprises in accelerating innovation and improving operational efficiency… With AI embedded in every solution and an AI-augmented workforce, FPT is well-positioned to drive transformative outcomes globally.”
It’s not subtle: FPT wants to be a world-class AI integrator, not a regional one.
The AWS Competency Program: Enterprise AI’s New Trust Layer
AWS built its Generative AI Competency Program to help customers navigate an emerging (and sometimes chaotic) AI vendor landscape. The criteria go far beyond basic certifications. Partners must demonstrate:
- Technical depth across AWS GenAI services
- Referenceable customer deployments
- Proven methodologies
- Domain-specific architectures
- Operational readiness for real-world scaling
Think of this as AWS stamping “these people actually know what they’re doing” on a partner’s portfolio.
Enterprises—especially heavily regulated ones—care deeply about that assurance. GenAI is powerful, but without proper data governance, auditability, or model controls, it can become an expensive liability.
FPT’s competency signals that it has solved the hard parts: integration, workflow transformation, reliability, and compliance.
Inside FPT’s AI Engine: Supercomputers, AI Factories, and a Workforce Built for Scale
FPT is not shy about calling itself AI-first, and the infrastructure backing that claim is substantial.
AI Factories in Vietnam and Japan:
These facilities are powered by NVIDIA GPUs and have been ranked among the top 40 fastest supercomputers worldwide—a rare distinction outside major research institutes or cloud hyperscalers. They are designed to handle:
- LLM training and fine-tuning
- Multimodal model development
- Simulation-heavy industrial workloads
- Foundation model experimentation for enterprises
AI Workforce at Scale:
FPT is investing aggressively in talent:
- 25,000 AI-proficient engineers
- 1,000 specialized AI engineers at its AI Center
- Plans to train 1,500 additional experts by 2025
- A long-term target of 50,000 AI specialists by 2030
This is one of the largest coordinated AI workforces in Asia—and it gives FPT a talent supply chain most competitors can’t match.
Deep Industry Co-Creation:
FPT’s partnerships reinforce its strategy: AWS, NVIDIA, Microsoft, SAP, Landing AI, Mila (Quebec AI Institute), and others. These anchor relationships support joint labs, model experimentation, and industry-specific solution building—whether for telecom, automotive, BFSI, manufacturing, or public sector.
In other words, the competency isn’t happening in a vacuum. FPT is constructing an AI ecosystem that spans software, infrastructure, talent, and R&D.
Where FPT Fits in the Enterprise GenAI Arms Race
This move places FPT in the same conversation as global integrators aggressively scaling GenAI practices—Accenture, Deloitte, Infosys, TCS, Cognizant, Capgemini, and others—yet FPT retains an advantage: speed.
While larger consultancies often move with the weight of their own processes, FPT’s combination of enterprise-grade maturity and startup-like velocity makes it an attractive partner for customers seeking rapid execution.
And AWS has seen the pattern before: the GenAI partners that win early are the ones with the infrastructure, the people, and the ability to iterate fast.
FPT checks those boxes.
The Bigger Picture: Enterprise AI Is Entering Its “Post-Hype” Phase
Across industries, enterprise GenAI is shifting from experiments to integrated systems. Companies want:
- Reliable ROI
- Embedded AI in operational workflows
- Trustworthy architectures
- Industry-specific solutions
- Full lifecycle support from training through deployment
- Partners who can execute at scale
AWS’s competency framework exists precisely because enterprises are done with guesswork. And FPT earning this designation signals that the company is moving into the inner circle of AI-capable global service partners.
The real test now is not whether FPT can deploy impressive pilots—it’s whether customers trust it to rewire mission-critical processes using GenAI.
Given the infrastructure depth, engineering scale, and strategic partnerships already in motion, the company appears well-positioned to deliver.
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