InferStack

Name: InferStack
Brand: Vedasva Systems

Enterprise LLM Inference Platform

Overview

Deploying and managing multiple LLM models with unparalleled efficiency and reliability, for maximum inference throughput and minimal latency on NVIDIA GPUs.

Key Features

High-Performance Inference

Leverage NVIDIA nativeness for maximum inference throughput and minimal latency on NVIDIA GPUs, with CUDA optimization and multi-GPU/multi-node support.

Advanced Request Batching & Scheduling

Efficiently group requests with async micro-batching, priority queuing, dynamic batch sizing, continuous batching, and Redis-based request deduplication.

OpenAI-Compatible API

Easy integration with existing applications using familiar /v1/completions, /v1/chat/completions, and /v1/embeddings endpoints, with support for streaming responses (SSE).

Dynamic Model Management

Deploy and update models with zero-downtime, hot reloading, graceful shutdown, and a centralized model registry. Auto-scaling is planned for future releases.

Enterprise-Grade Security

Secure API access with JWT authentication, Role-Based Access Control (RBAC), API Key Management, rate limiting, input validation, and comprehensive audit logging.

Technology Stack

Optimized with NVIDIA for peak performanceLeverages CUDA for deep GPU accelerationBuilt on FastAPI for high-performance asynchronous APIsContainerized deployment with Docker & Kubernetes supportIntegrated Prometheus & Grafana for comprehensive monitoringDistributed tracing with OpenTelemetry compatibilityHigh-speed caching and data storage with RedisType-safe database interactions via SQLModel ORMSecure API access with JWT Authentication

Common Use Cases

Large-scale LLM inference deploymentHigh-throughput AI applicationsLow-latency LLM servingSecure and observable LLM operationsCustom LLM solution development

Solution Gallery

InferStack dashboard showing real-time inference metrics and model health.

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