Enterprise AI/ML Platform
AI/ML platform for production model operations
Inwire.ai gives teams one AI/ML platform to prepare data, train and fine-tune models, deploy LLMs, govern access, route inference traffic, and optimize GPU cost across cloud, hybrid, and Kubernetes environments.
Fast answer
Inwire.ai is a unified AI command center for model training, model fine tuning, model deployment, LLM inference, RAG workflows, and inference optimization across multi-cloud, hybrid cloud, on-prem, and Kubernetes GPU infrastructure.
Production outcomes
Manage the full model lifecycle from data preparation to production inference.
Deploy across AWS, Google Cloud, Azure, AliCloud, on-prem Kubernetes, and hybrid GPU clusters.
Control identity, audit trails, model lineage, routing, observability, and cost from one control plane.
One control plane for models, data, and inference
The platform connects model registry, deployment workflows, inference endpoints, RAG pipelines, prompt operations, and governance so teams do not stitch together a fragile stack for every new AI project.
Built for production AI operations
Inwire.ai supports RBAC, tenant isolation, audit logging, secrets management, observability, GitOps workflows, model monitoring, and deployment approval paths for regulated enterprise environments.
Optimization before and after launch
InferenceIQ and GPU tuning workflows recommend engines, GPU profiles, quantization strategies, autoscaling settings, and routing policies before a workload reaches production.
What inwire.ai can run and optimize
Train and fine tune LLMs, then package models for governed production release.
Deploy models to AWS, Google Cloud, Azure, AliCloud, private VPCs, on-prem Kubernetes, and hybrid GPU clusters.
Serve LLM inference through vLLM, SGLang, TensorRT-LLM, TRTLLM, Triton, TGI, ONNX Runtime, and OpenAI-compatible APIs.
Optimize throughput, latency, GPU memory, KV cache, batching, autoscaling, routing, and cost per token.
Questions teams ask before rollout
What is an AI/ML platform?
An AI/ML platform is a production system for preparing data, training models, deploying endpoints, monitoring performance, enforcing governance, and operating AI workloads across infrastructure.
How is Inwire.ai different from a single model-serving tool?
Model-serving tools usually focus on runtime execution. Inwire.ai combines model deployment, data workflows, routing, governance, observability, and optimization in one platform.