Enterprise-GradeOpen Source AIServices.Deploy Anywhere.
Move beyond closed API providers and the middleware markup. Nistro AI is a radically different service model: we stand up and manage your dedicated AI infrastructure with automated lifecycles and Tier-1 reliability. Get production-grade vLLM inference and AI-optimized PostgreSQL anywhere across clouds, neoclouds, and on-premises — at a fixed monthly cost.
- GenAI App
- WebChat Interfaces
- Data & ML Workflows
- AI-Powered Insights
Application Layer
- AI App BuilderVercel AI SDK, Retool AI
- Agent FrameworksLangChain, Auto-GPT, CrewAI
- AI-Focused IDEsCursor, Copilot
Intelligence Services
- MLOpsZenML, MLflow
- Vector SearchMilvus, Weaviate
- Inference EnginesvLLM, Triton
Data & Runtime
- Data StoresPostgreSQL, MySQL
- Stream ProcessingFlink, Spark
- Data IngestionKafka, Airbyte
Cloud-Agnostic or On-Prem Foundation
- AWS
- GCP
- Azure
- CoreWeave
- Nebius
- Lambda
- Crusoe.ai
- Vultr
- Oracle
- On-Prem
- Model Inferencing-as-a-ServiceNistro AI vLLM (Beta)
- Managed PostgreSQLNistro AI Postgres: powered by Audax Enterprise Postgres (Beta)
- Managed MLflowNistro AI MLflow (Coming Soon)Soon
One platform · your cloud, neoclouds, or on-prem
One open-source platform for every data & AI use-case
Inference, vector data, and experiments — managed on best-in-class open source, deployed on your cloud, at a fixed monthly cost.
Managed vLLM inference
Serve any open-weight model on dedicated GPUs across clouds and neoclouds. Global capacity arbitrage, fractional GPUs, quantization, and autoscaling — production throughput at hardware cost.
Explore inferenceManaged Postgres
AI-native extensions out of the box — pgvector for embeddings and similarity search, managed HA, backups, and point-in-time recovery. The sovereign state layer for RAG and agents.
Explore PostgresSELECT id, title ORDER BY embedding <=> query LIMIT 4;
MLflow tracking
Managed experiment tracking and model registry — from hyperparameter sweeps to artifact logging.
Runs in your cloud — full data sovereignty
Bring Your Own Cloud: deploy the whole platform inside your VPC. Weights, vectors, and prompts never leave your perimeter — zero vendor lock-in, standard open-source binaries.
Trade volatile token bills for a fixed monthly burn
Closed APIs bill you per token, and costs spike with usage. Nistro stands up dedicated infrastructure with predictable, fixed monthly pricing — capacity is yours, and your data never leaves your cloud.
Per-token API pricing
- Volatile bills that spike with usage
- Opaque per-token pricing
- Rate limits and noisy neighbors
- Your data leaves your perimeter
Fixed monthly burn on Nistro
- Predictable, fixed monthly cost
- No per-token metering
- Dedicated capacity, no rate limits
- Runs in your VPC, weights stay put
Platform
The Infrastructure Advantage
Managed open-source stacks engineered for high-performance AI workloads.
- — 01
Enterprise-Ready AI Services
- Automate the full lifecycle of your AI stack with stateful scaling and Tier-1 reliability.
- We leverage best-in-class open source services while our orchestration handles the operational toil of backups, recovery, and maintenance.
- — 02
Fixed Monthly Burn
- Replace volatile per-token billing with predictable, dedicated deployments and a fixed monthly cost.
- — 03
Deploy Anywhere
- Deploy anywhere — major clouds, neoclouds, or on-prem.
- Maintain total data residency via BYOC, keeping model weights and vectors inside your secure perimeter with zero vendor lock-in.
Managed PostgreSQL
Nistro AI Postgres: powered by Audax Enterprise Postgres
The sovereign data layer optimized for vector residency and high-performance RAG workloads.
- Upstream Open Source: powered by Audax Enterprise Postgres with zero proprietary forks. We provide "Day Zero" version support and native compatibility for all community-validated extensions to ensure total technical portability.
- Vector-Native Architecture: native pgvector support with optimized indexing for massive high-dimensional datasets and production RAG pipelines.
- Expert Support: direct support from Command Prompt, foundational contributors to the PostgreSQL core since 1997.
Model Inferencing-as-a-Service
Nistro AI vLLM
Dedicated inference for teams scaling open-weight models who need production performance at hardware-level costs.
- Global Capacity Arbitrage: real-time indexing across major clouds and AI-first neoclouds to find available GPUs when and where you need them.
- Intelligent Cost Optimization: lowest-cost GPU sourcing across providers including infrastructure cost techniques — fractional GPUs, auto-scaling, KV-cache and model quantization support — so you never pay for unused compute.
- Flexibility and Control: full control over your GPU architecture and data residency — choose your instance types, regions, and cloud providers across AWS, GCP, Azure, and AI-first neoclouds.
About
Engineered for Production Reality
High-performance AI requires more than just models; it requires the reliability and scale of enterprise-grade data services. Nistro AI brings managed inference and Postgres into one operational surface, purpose-built for engineers who refuse to compromise on residency, security, and technical transparency.
Open the consolePricing
Pricing for Predictability.
Coming Soon: Model your fixed monthly burn across GPU architectures and regions—designed to eliminate per-token volatility.
Get StartedFAQ
Frequently Asked Questions
Everything teams ask before standing up dedicated production AI infrastructure on Nistro AI.
The difference is structural. While other providers sell access via volatile per-token billing, Nistro AI orchestrates dedicated inference environments at raw hardware costs. This removes the "middleware tax" and replaces opaque usage billing with a predictable fixed-burn model. We provide the architectural transparency required for high-throughput production, allowing teams to scale without the variable volatility of token-based margins.
Nistro AI is an infrastructure-first platform engineered for production AI workloads starting from training all the way down to inferencing. Our managed vLLM service supports scaling open-weight models at throughput, and our data infrastructure — including PostgreSQL for AI — is optimized as the relational state layer for AI metadata. Through our integrated MLflow tracking servers, teams can manage the experiment lifecycle — from hyperparameter tuning to artifact logging — without manual provisioning or database overhead. Nistro AI's dedicated infrastructure includes automated lifecycles and stateful scaling designed for high-availability systems.
Yes, our "deploy anywhere" capability includes comprehensive Bring Your Own Cloud (BYOC) integration. This ensures total architectural control and data sovereignty by allowing you to keep model weights and prompts inside your own network perimeter. Furthermore, we use standard binaries for standard open-source stacks to avoid vendor lock-in, ensuring your schema and data remain 100% portable.
Yes. A key differentiator of Nistro AI is the ability to customize inference context length and quantization for open-weight models. This allows you to tune specific parameters for your production workloads to optimize for performance and memory efficiency.
Yes. We provide native integration for deploying open-weight models directly from Hugging Face. These models can be deployed into dedicated inference environments with full support for multiple quantization methods and custom context lengths to meet your specific throughput requirements.
Nistro AI provides dedicated infrastructure with Tier-1 reliability and automated lifecycle management, including stateful scaling and point-in-time backups. By orchestrating deployments directly within your own cloud account (BYOC), we ensure absolute data sovereignty — your model weights and prompts never leave your security perimeter. We provide enterprise-grade SLAs and fixed monthly pricing, with specialized support packages designed for high-availability production workloads.
Click Get Started to create your account and deploy in minutes. For enterprise or custom needs, contact our team using the form below.
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