SMTX AI Platform

Build AI-Ready Infrastructure with Ease

Securely manage compute and deploy inference services on-prem to accelerate generative AI.

Overview

Benefits

Features

SMTX AI Platform is a private, enterprise-grade infrastructure for managing heterogeneous compute and deploying inference services on-prem, accelerating generative AI adoption. With a flexible architecture supporting multiple environments and GPU types, it integrates model management, resource scheduling, inference, and access control to boost infrastructure efficiency, simplify operations, and enhance data and model security.

Why SMTX AI Platform?

Private Deployment, Secured Data. SMTX AI Platform runs in your private environment, keeping all data and model assets under your control, ensuring privacy, security, and regulatory compliance.

Flexible Across Environments and Hardware. With an open architecture, it supports physical servers, virtualization, and containers, as well as GPUs from major vendors, fitting seamlessly into diverse IT infrastructures.

Simplify AI Infrastructure, Accelerate Results. It streamlines compute management, model deployment, and inference services—making it easier to build AI environments, reduce time-to-value, and drive innovation.

Comprehensive, Streamlined Model Management

Native Support for Multiple Model Types

Built-in support for mainstream models including text generation, embedding, and reranking—covering a wide range of enterprise use cases.

Flexible Model Import

Easily pull open-source models from Hugging Face or upload custom and proprietary models to meet specific business needs.

Catalog for Faster Deployment

Use model catalogs to predefine inference engines, resource specs, and runtime configs—standardizing deployment and reducing DevOps overhead.

Unified, Efficient Compute Resource Pool

Heterogeneous GPU Management

Unify and schedule GPUs from vendors like NVIDIA and AMD across physical servers, virtual machines, and Kubernetes clusters.

GPU Sharing Mechanism

Enable multiple model instances to share a single GPU using intelligent partitioning and isolation—boosting utilization and overall throughput.

Flexible, High-Performance Inference Services

KVCache-Aware Multi-Replica Scheduling

Leverage KVCache-aware load balancing to optimize request routing and hit rates—enhancing inference performance and responsiveness under high concurrency.

Robust Tenant and Access Management

Tenant-Level Isolation

Each tenant has isolated resource and model spaces—ensuring data security and operational independence.

Fine-Grained RBAC

Role-based access control across model management, inference, and scheduling—enabling streamlined governance.

API Token Quota & Usage Management

Configure and monitor token-based access for external calls—enabling rate limiting, cost control, and billing readiness.