Inferia AI

👀 We are live on @ProductHunt InferiaLLM is an operating system for LLMs. From raw LLMs to real users - routing, RBAC, policies, and compute built in. Upvote and support is highly appreciated. producthunt.com/products/infer…

InferiaLLM v0.1.0 beta 1 is live A unified platform to deploy, manage, and secure LLM inference at scale with orchestration across clouds and DePIN, built in guardrails, RAG pipelines, access control, and deep observability. Supports vLLM, Ollama, OpenAI compatible APIs, and more from a single control plane. From deployment preflight checks to audit logs to multi credential infra to hardened security, this is a full stack infra layer for serious AI teams. pip install inferiallm==0.1.0b1 docker pull inferiaai/inferiallm:v0.1.0 beta 1

Open source models don’t win by default - they win when they’re operable. Raw LLMs aren’t enterprise-ready. Governments and enterprises need governance, access control, policy enforcement, routing, cost controls, and compute orchestration around them. We’re building that operating layer → InferiaLLM An OS for running LLM inference in-house at scale. producthunt.com/products/infer… Open models + owned infrastructure feels like the real equilibrium.

It’s all open source models from here. American AI companies are simultaneously fighting Democrats (by automating blue jobs), Republicans (by rankling the US military), and China (by fruitlessly combating distillation attacks). Solve for the equilibrium: open source models become the only trusted models. Centralized American AI burns bright, makes a ton of money, but eventually gets outcompeted by the privacy, freedom, and trust of decentralized local AI.

Enterprises don’t struggle with models. They struggle with operating them. We integrated NVIDIA Nemotron into InferiaLLM in a way that makes production deployment radically simple: 1. Spin up Nemotron → 2. Attach safety policies → 3. Enable observability → 4. Scale across workloads → All from a single control layer. No fragmented pipelines. No patchwork guardrails. No manual orchestration. InferiaLLM acts as the AI Operating System: • Model abstraction layer • Traffic routing & load balancing • Guardrail Engine (LLM Guard, Llama Guard, Lakera) • PII detection & compliance enforcement • Structured logging & monitoring Nemotron provides the intelligence. InferiaLLM makes it enterprise-ready. This is what “production AI” actually looks like. @nvidia @NVIDIAAI @NaderLikeLadder @ctnzr @Baxate Website: inferia.ai Demo: youtu.be/BPXIf__NPWs Github: github.com/InferiaAI/Infe… #NVIDIAGTC #EnterpriseAI #Nemotron

😂😂 Check us out @agazdecki InferiaLLM is an operating system for running LLM inference in-house at scale. It provides everything required to take a raw LLM and serve it to real users: user management, inference proxying, scheduling, policy enforcement, routing, and compute orchestration - as one system. producthunt.com/products/infer…

Founders DM’ing and emailing everyone they know to try their new startup:

Check us out on Product Hunt: producthunt.com/products/infer…

InferiaLLM v1.1 updates - straight to it: • Guardrail Engine (8002) → now standalone - Supports LLM Guard, Llama Guard, Lakera – PII detection + content filtering • Data Engine (8003) → separated from gateway – KB + vector ops – ChromaDB ingestion – Only healthy deployments visible • New Insights Tab – Real-time metrics (30m–30d) – Token throughput + avg rate – IP filtering + top IPs – Deployment-level analytics – Exportable audit data • Stream processing → better token throughput • Circuit breaker for external calls • Rate limiting on auth • Unified HTTP config + shared schemas Ports: 8000 Filtration | 8001 Inference | 8002 Guardrail | 8003 Data | Cleaner architecture. More resilient.

Spent the last few weeks tightening Inferia - an OS for running private LLM inference in production at scale. Shipped governance, routing, and observability into one system. Applied to YC. Back to building. inferia.ai

👀 We are live on @ProductHunt InferiaLLM is an operating system for LLMs. From raw LLMs to real users - routing, RBAC, policies, and compute built in. Upvote and support is highly appreciated. producthunt.com/products/infer…

Product Hunt → producthunt.com/products/infer… Live tomorrow. Feedback from infra & ML folks welcome 🙏

👀 Pre-release is live InferiaLLM is an operating system for LLMs. From raw LLMs to real users - routing, RBAC, policies, and compute built in. Launching on Product Hunt tomorrow 🚀

We’ll post the link here as soon as we go live. Feedback from infra and ML folks would be greatly appreciated 🙏 Thank you

🚨 Heads up, builders We’re launching InferiaLLM on Product Hunt in 3 days. It’s an operating system for running LLMs in production - in-house, scalable, and opinionated. If you care about real LLM infra, this one’s worth bookmarking 👀

LLMs are powerful. But power without control breaks in production. Something is coming for teams running LLMs at scale. Stay tuned. InferiaLLM The Operating System for LLMs in Production ⏳

We at @InferiaAI are excited to submit our BUIDL for the @nosana_ai Builder Challenge. Nosana Chat MCP lets anyone deploy LLMs or any containerized application on Nosana using natural language — no complex setup or commands needed. Just connect your wallet, have some NOS and SOL for compute and payments, and let Nosana Chat MCP do the rest. 🔗 Try it: lnkd.in/g_YT4THS 🎥 Demo: lnkd.in/gX_CASzE We’re proud to contribute to the future of decentralized compute — making AI deployment as simple as having a conversation.

@nosana_ai @token2049 The @InferiaAI team will be there too 🙌 Excited to catch up with the @nosana_ai crew and meet everyone at @token2049 🇸🇬 Looking forward to the side event 👀

See you soon at @token2049 in Singapore 🇸🇬 We’ll be there meeting builders and connecting throughout the week. And yes, we’re also cooking up a small side event—more on that soon 👀

RT @nosana_ai: The Future of AI Deployment: Making Innovation Faster and Simpler x.com/i/broadcasts/1…

We are live...

Countdown’s on — just 1 hour to go. See you all at 5PM CET