This week at Computex keynote, on-prem AI took center stage—and for good reason. As enterprises that require their tools and data to remain inside their own infrastructure are doubling down on AI initiatives, being able to do so securely is a necessity. That’s why we’re excited to share that SuperAnnotate is included in the NVIDIA Enterprise AI Factory validated design.
We’ve always believed that teams building AI should be able to keep their data where it lives—whether that’s in the cloud, on-prem, or hybrid—and our native integrations and ability to store annotation data in the customer's environment have been built with that in mind. Building on that foundation, we’re aiming to expand our platform throughout this year to give enterprises more flexible options for deploying human-in-the-loop workflows inside their own infrastructure.
Human-in-the-Loop Infrastructure for Enterprise AI
SuperAnnotate delivers enterprise-ready infrastructure for human-in-the-loop AI development—enabling companies to inject domain expertise into model training and perform rigorous model evaluations at scale. Our customizable annotation workflows, advanced role-based access controls, and integrated project management features give AI and MLOps teams a centralized, secure platform to manage all their data pipelines.
Part of NVIDIA’s Validated Enterprise AI Stack
SuperAnnotate’s inclusion in the NVIDIA Enterprise AI Factory validated design affirms its position as a trusted building block in modern enterprise AI stacks. This architecture—designed as a validated, full-stack ecosystem—minimizes integration complexity for enterprises by recommending interoperable, best-in-class tools.
Within this framework, SuperAnnotate delivers advanced capabilities for data curation, human-in-the-loop workflows, and high-precision model evaluation. By minimizing integration complexity and ensuring compatibility with NVIDIA Blackwell accelerated computing and the NVIDIA AI Enterprise software platform, SuperAnnotate becomes a natural choice for enterprises building production-ready AI systems with strong human oversight.
Vahan Petrosyan, CEO, SuperAnnotate:
“Being part of NVIDIA’s on-prem AI ecosystem allows us to meet our enterprise customers where they are—inside their own infrastructure. With SuperAnnotate, they get full control over data quality, human review, and model evaluation, without compromising on security or performance.”
Why Control Over Deployment Matters
As AI becomes a cornerstone of enterprise and government strategy, the ability to keep data and infrastructure under full organizational control is no longer optional—it’s essential.
Here’s why:
- Data and infrastructure sovereignty: Keep sensitive assets within national or organizational boundaries.
- Regulatory alignment: Meet regional and industry-specific data governance requirements.
- Stronger security: Minimize risks of leakage or unauthorized access.
- Performance optimization: Co-locate storage, compute, and workflows for faster iteration.
SuperAnnotate was built with these priorities in mind. Today, customers can keep all annotation data fully contained within their environment—with no data at rest ever leaving their infrastructure. Looking ahead, we’re actively building support for even more flexible deployment models, like VPC and on-prem, to extend these capabilities further.
Looking Ahead
If you’re building out an enterprise AI strategy and need to bring your data workflows in-house or in the cloud, SuperAnnotate can help you get there—faster, more securely, and with complete customizability.
👉 [Talk to Our Team]
