Experience the Future of Enterprise AI at AI Impact Summit 2026
Event Overview
Step into the Niral Networks pavilion at the India AI Impact Summit 2026 to see how NiralOS EDGE powers secure, high-performance AI at the edge for real-world enterprises.
Hall No: 6 | POD No: 6P69
Location: Bharat Mandapam, New Delhi | Dates: 16–20 February 2026
What You Can Experience Live
Multiple LLMs on NiralOS EDGE in a Captive Network
Run multiple Large Language Models entirely inside a captive or air-gapped network—no public cloud, no external APIs, full control.
- Route different workloads to different LLMs based on sensitivity, performance, or domain.
- Achieve low-latency responses with on-prem inference.
- Ensure data sovereignty and compliance for regulated industries.
Image-Based RAG Solution
See how image + text intelligence comes together using an image-based RAG pipeline on NiralOS EDGE.
- Ingest scanned documents, diagrams, plant layouts, and technical images.
- Create local visual embeddings and index them securely.
- Let LLMs answer complex queries grounded in both documents and images—without data leaving your premises.
SR-IOV-Based Enterprise GPU Mapping
Experience how SR-IOV lets you carve a single GPU into multiple high-performance virtual functions mapped directly to VMs.
- Near bare-metal GPU performance for AI, VDI, and analytics workloads.
- Strong isolation and predictable QoS between tenants or departments.
- Higher GPU utilization across mixed workloads.
Platform & Infrastructure You will See in Action
ESXi Migration on NiralOS EDGE
Watch how existing VMware ESXi workloads can be migrated to NiralOS EDGE with minimal disruption.
- Preserve VM configurations and policies.
- Reduce licensing dependency while retaining enterprise-grade virtualization.
- Use migration tools and compatibility layers to cut downtime and risk.
NVIDIA GPU Slicing (MIG)
See live how a single NVIDIA GPU can be partitioned into multiple MIG instances to serve parallel AI workloads.
- Hardware-isolated GPU slices with dedicated compute and memory.
- Consistent performance for inference, training, and analytics.
- Better ROI from every GPU deployed.
NiralOS EDGE HCI
Explore NiralOS EDGE as a Hyper-Converged Infrastructure stack that brings compute, storage, networking, and AI acceleration together at the edge.
- Single-pane-of-glass management for distributed edge sites.
- Optimized for AI at factories, campuses, data centers, and remote locations.
- Built to integrate with private 5G and edge AI deployments.
NiralOS EDGE Ceph and SAN
Discover how NiralOS EDGE blends Ceph-based software-defined storage with SAN for high-performance, low-latency workloads.
- Scale-out object/file storage for AI data lakes and logs.
- SAN-backed block storage for latency-sensitive enterprise applications.
- Built-in resilience, redundancy, and high availability.
Why Visit the Niral Networks booth?
- See live demos of AI workloads at the edge in a captive, sovereign environment.
- Talk to solution architects about private 5G, Edge AI, and on-prem LLMs for your industry.
- Explore reference architectures for manufacturing, BFSI, smart infrastructure, and more.
