AI is transforming software development, enabling engineering teams to work faster, build smarter, and drive innovation at scale. However, enterprises face critical challenges in securely deploying AI while maintaining governance, compliance, and performance. To address these challenges, we’re excited to introduce Tabnine + Dell AI Factory—a powerful, enterprise-grade AI software development solution deployable on-premises with Dell PowerEdge servers and NVIDIA GPUs. This collaboration delivers secure, high-performance AI coding at scale, empowering enterprises to accelerate software development without compromising security or control.
Security, compliance, and scalability are at the core of enterprise AI adoption, and Tabnine on Dell AI Factory addresses these concerns with a fully on-premises or air-gapped deployment model that guarantees IP protection and zero data leakage. This gives enterprises full control over their development environments while ensuring compliance with industry regulations.
The solution is optimized for NVIDIA GPUs to deliver low-latency, high-efficiency AI-assisted coding with a variety of enterprise optimized hardware configurations that can support thousands of developers simultaneously. Multi-GPU and multi-node configurations optimize compute resources creating efficient AI adoption for enterprise teams.
By deploying Tabnine on Dell AI Factory infrastructure, organizations gain a future-proof AI development environment with true architectural freedom for AI model deployment. Organizations can use any large language model: opt for open-source LLMs such as Llama 3.1, or integrate with private endpoints through all leading cloud providers to use models like Claude 3.7. This level of control allows enterprises to align their AI strategy with their security, cost, and compliance requirements, ensuring they can continue to optimize AI adoption without vendor lock-in.
AI in software development is not just about automation—it’s about understanding the unique needs of enterprise engineering teams and integrating AI into their existing tool stack. Unlike generic AI coding assistants that offer broad, non-contextual code suggestions, Tabnine’s AI software development platform is designed to provide highly relevant, enterprise-specific AI recommendations that align with an organization’s internal codebase, best practices, and security policies.
The Enterprise Context Engine leverages an insight and control layer. Tabnine’s control layer gives engineering leaders the ability to govern the behavior and control the scope of AI agents to prevent security risks, enforce compliance policies, and maintain transparency in AI-generated outputs. This makes it a trusted solution for industries such as finance, healthcare, and government, where regulatory compliance is non-negotiable.
The insight layer integrates seamlessly with all major IDEs, Git-based repositories such as GitHub, GitLab, and Bitbucket, and project management tools like Jira Cloud and Data Center. Through the use of sophisticated retrieval augmented generation Tabnine delivers AI generated code that fits your patterns, applications, and approach. Our context engine results in an 82% increase in code acceptance rates when compared to out-the-box LLM responses.
The context engine powers Tabnine AI Agents, in IDE AI Chat, and code completions enhancing productivity across the entire software development lifecycle. Our agents streamline code generation, validation, review, and testing, helping our enterprise customers achieve a 75% automation factor—where AI writes three out of every four lines of code.
Tabnine has earned recognition from top analysts as a leader in AI-driven software development. In the Gartner 2024 Critical Capabilities Report we were top ranked in all five use cases when compared against all 12 major providers. We were additionally recognized in the Everest Group Innovation Watch Assessment as a luminary for AI-driven software engineering innovation, highlighted as a top provider for enterprise ready AI coding solutions in the Omdia Market Radar, and awarded the top AI innovation for developers award by SiliconAngle.
Gartner predicts that over 75% of developers will use AI-assisted tools within two years. However, scaling AI in software development requires balancing innovation with governance, security, and performance. With Tabnine + Dell AI Factory, enterprises can confidently deploy AI-driven software development without compromising performance, protection, or privacy. Our partnership delivers a best-in-class, on-prem AI solution, enabling organizations to accelerate software development while safeguarding their sensitive IP.
Explore Tabnine Enterprise on Dell AI Factory or contact us today to learn how your organization can deploy Tabnine Enterprise on Dell AI Factory and unlock the full potential of AI-powered software development at scale.