Meet Fabrix.ai at
NVIDIA GTC 2026
Powering the Agentic Enterprise
March 16–19, 2026 | San Jose, CA
Join us at GTC to see how we are transforming enterprise IT operations with Agentic AI, optimized GPU workloads via NVIDIA NIMs, and secure LLM integration.
Connect with the Fabrix.ai Team at GTC 2026
At Fabrix.ai, we bridge the gap between world-class AI infrastructure and day-to-day enterprise operations. As a proud member of the NVIDIA Inception program, we are committed to helping organizations move beyond AI experimentation into secure, autonomous execution.
Optimized Inference with NVIDIA NIMs: See how Fabrix.ai leverages NVIDIA’s software (NIMs) to efficiently deploy inference workloads for specialized domain models such as Deepseek, Llama. We’ll demonstrate how to achieve optimal token efficiency and lightning-fast Time-to-First-Token (TTFT) for your agentic workflows.
Cost & Token Insights: Scaling AI can result in unpredictable costs if not managed effectively. We will show you how our platform provides cost-aware flexibility, allowing enterprises to choose between traditional per-token SaaS pricing or an upfront GPU infrastructure investment with no ongoing usage fees.
Data Privacy & Security: A primary barrier to AI adoption is the concern over transmitting sensitive telemetry and operational data to third-party LLMs. Our built-in data protection features include persona data masking for Agentic AI. Sensitive fields are masked before prompts reach the LLM and unmasked client-side when rendering results, ensuring end-to-end auditability and security.
Multi-Agent, Cross-Domain Reasoning: Experience live demonstrations of how our AI agents reason across multiple domains, orchestrated by the Model Context Protocol (MCP). We will show how IT, SecOps, NetOps, and SRE teams can collaborate over a shared semantic model
Shailesh Manjrekar
Chief Marketing Officer
Fabrix.ai
Tejo Prayaga
Sr. Director Product Management
Fabrix.ai
Supported Sovereign AI Reference Architectures
Fabrix.ai partners with industry leaders such as Cisco and IBM to provide validated reference architectures tailored for localized, secure, and highly optimized AI deployments
Deploy Sovereign AI Reference Architectures designed for the Cisco AI POD ecosystem to manage high-performance enterprise workloads securely and effectively.
Partner-delivered AI services are projected to reach @267 Billion by 2023, growing at a 35% CAGR
At the same time, the Cisco 2025 AI Readiness Index found that only 28 percent of organizations believe their current infrastructure can handle AI workloads
Deploy an “AI Platform in a Box” using the IBM Fusion Agentic AI Appliance.
- Agentic AI Appliance: IBM Fusion Appliance with WatsonX, NVIDIA AI-Q, Bio-Nemo, and other blueprints
- AI Platform in a Box: IBM Fusion Appliance with NVIDIA AI Enterprise and Red Hat AI
- AI Ready Storage for AI Factories: IBM Storage Scale with Fusion AI Data Plaform
Joint Value Proposition & Business Outcomes
Deploying Fabrix.ai on sovereign reference architectures empowers enterprises with independent control over their AI operations, protecting sensitive data while streamlining deployment and management.
Lower TCO
Achieve 30-40% lower TCO vs. GPU-based alternatives.
AI Agents
Build, Deploy, and Scale AI Agents for ITOps, NOCOps, and SecOps use cases entirely within your sovereign environment
Governance
Maintain production-grade governance with comprehensive audit trails and cost attribution.
AI Observability
Achieve real-time AI observability and predictive operational intelligence
Gartner Recognitions
For Observability, AIOps & GenAI
Useful Resources
Fabrix.ai Agent Catalog - Agents Built for
Every Ops Use Case
Fabrix.ai Advances Enterprise-Ready Agentic AIOps with Operational Maturity and Real-World Integration
The AI Readiness Paradox: The Agentic Value Gap And The Agentic Operational Model
Production Blueprint for addressing 16 Production challenges Powered by Agentic Middleware