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.
Schedule a Meeting
with Our Experts
Connect with the Fabrix.ai Team at GTC 2025
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
Partner-delivered AI services are projected to reach @267 Billion by 2023, growing at a 35% CAGR
Cisco AI POD
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Deploy Sovereign AI Reference Architectures designed for the Cisco AI POD ecosystem to manage high-performance enterprise workloads securely and effectively.
IBM Fusion for AI
Deploy an “AI Platform in a Box” using the IBM Fusion Agentic AI Appliance.
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Stack: IBM Fusion with WatsonX, NVIDIA AI-Q, and Bio-Nemo blueprints.
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Enterprise-Ready: IBM Fusion Appliance, NVIDIA AI Enterprise, and Red Hat AI power deployments for robust performance.
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AI-Ready Storage: IBM Storage Scale and Fusion AI Data Platform deliver secure, optimized data access.
Fabrix.ai: Recognized by Gartner®
Across 6 Distinct Technology Categories
Observability & AgenticOps
Innovation Guide for AI Agents
2026
Market Guide for AI Site Reliability Engineering Tooling
2026
Market Guide for Event Intelligence Solutions
2025
Innovation Insight: AI-Augmented SRE
2025
Redesign Observability With Business and AI Context
2025
Communications Service Providers
Market Guide for CSP Service and Network Assurance Solutions
2026
Market Trend: Agentic AI for CSP Autonomous Network Operations
2025
Emerging Tech Impact Radar: India
2025
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