Unify and optimize LLMs, real-time data pipelines, MCP servers, and AI gateways across hybrid cloud-edge infrastructure.
Stop managing fragmented AI silos. VantEdge provides a single platform for deploying and orchestrating your entire AI ecosystem from cloud to edge.
Trusted by innovative partners
Hybrid cloud-edge orchestration
The Challenge
Organizations struggle with disconnected AI tools that create operational overhead, vendor lock-in, and performance bottlenecks—preventing them from deploying cohesive AI-first applications at scale.
Teams manage separate tools for LLMs, vector databases, data pipelines, and edge deployment—creating operational complexity and preventing unified optimization.
Specialized solutions from Confluent, Databricks, and Snowflake create expensive vendor dependencies with limited cloud choice and high switching costs.
Real-time AI applications require data and computation co-location, but existing tools struggle with latency and consistency across hybrid environments.
The Solution
VantEdge provides a single platform that orchestrates LLMs, real-time data pipelines, MCP servers, and AI gateways across hybrid cloud-edge infrastructure—optimizing the entire system, not isolated components.
Deploy and manage LLMs, vector databases, real-time data pipelines, MCP servers, and AI gateways through a single unified interface with intelligent resource allocation.
Co-locate data and computation automatically across cloud and edge environments, eliminating latency bottlenecks and reducing cross-region data transfer costs.
Break free from vendor lock-in with intelligent workload placement that optimizes across all components simultaneously—achieving better performance at lower total cost.
From fragmented tools to unified control plane—VantEdge orchestrates your entire AI ecosystem across cloud and edge environments.
Link your cloud accounts, edge locations, and on-premises resources. VantEdge automatically discovers and maps your distributed infrastructure capabilities.
Launch LLMs, vector databases, data pipelines, and MCP servers through our unified interface. VantEdge handles optimal placement and interconnection automatically.
Our control plane continuously optimizes workload placement, data locality, and resource allocation based on real-time performance and cost metrics.
Your AI-native systems now operate as a cohesive ecosystem with optimal performance, reduced latency, and lower costs—all managed through VantEdge's intelligent control plane.
VantEdge provides specialized capabilities for deploying, optimizing, and managing the full spectrum of AI-native systems across hybrid cloud-edge infrastructure.
Deploy and manage large language models, vector databases, and custom ML models with intelligent auto-scaling and optimal resource allocation across hybrid infrastructure.
Orchestrate streaming data pipelines and MCP servers with automatic data locality optimization, ensuring low-latency processing at the point of data generation.
Support stateful agentic systems with distributed context management, enabling continuous learning and optimization directly at the edge without cloud round-trips.
System-wide optimization that places workloads intelligently across cloud and edge locations, reducing data transfer costs and achieving optimal performance.
Built-in security controls, audit trails, and compliance frameworks designed specifically for distributed AI workloads and data governance requirements.
Centralized AI gateway management with intelligent routing, load balancing, and API lifecycle management for all your AI services and endpoints.
LLMs, pipelines, and AI gateways
Through system-wide optimization
Single unified control plane
Join enterprises building the next generation of AI-first applications with VantEdge's unified orchestration platform.