LLM Deployment Platform
LLM deployment for secure, scalable production inference
Deploy LLMs with OpenAI-compatible APIs, secure inference gateways, intelligent routing, GPU fit analysis, cost controls, and observability across vLLM, TGI, TensorRT-LLM, Triton, ONNX Runtime, and Kubernetes.
Fast answer
Inwire.ai deploys LLMs into secure production inference endpoints with OpenAI-compatible APIs, vLLM, SGLang, TensorRT-LLM, TRTLLM, Triton, TGI, multi-cloud Kubernetes, canary releases, failover, observability, and GPU-aware scaling.
Production outcomes
Expose production LLM endpoints through secure, authenticated, metered APIs.
Choose the right inference engine, GPU type, quantization level, and scaling policy.
Route traffic intelligently with canary rollout, failover, quotas, and audit logs.
From model weights to production endpoint
Inwire.ai turns LLM artifacts into governed inference endpoints with deployment configuration, endpoint authentication, request validation, model routing, observability, and rollback workflows.
Engine-aware deployment recommendations
InferenceIQ compares vLLM, SGLang, TGI, TensorRT-LLM, TRTLLM, Triton, ONNX Runtime, and llama.cpp options against your model architecture, latency goals, throughput goals, GPU budget, and reliability requirements.
Secure API gateway for every request
Inference Gateway enforces API keys, JWT, mTLS, request size limits, quotas, usage logging, and trace IDs before traffic reaches the model runtime.
What inwire.ai can run and optimize
Deploy LLM endpoints on vLLM, SGLang, TensorRT-LLM, TRTLLM, Triton, TGI, ONNX Runtime, and llama.cpp.
Run inference across multi-cloud, hybrid cloud, private VPC, on-prem Kubernetes, and dedicated GPU clusters.
Protect every request with API keys, JWT, mTLS, quotas, request validation, audit logs, and usage metering.
Use canary, blue-green, shadow traffic, intelligent routing, circuit breakers, failover, and rollback controls.
Questions teams ask before rollout
Can Inwire.ai deploy open-source LLMs?
Yes. Inwire.ai is designed for open-source and private LLM deployment using engines such as vLLM, SGLang, TGI, TensorRT-LLM, TRTLLM, Triton, ONNX Runtime, and llama.cpp.
Does Inwire.ai support OpenAI-compatible APIs?
Yes. Inference Gateway can expose OpenAI-compatible inference APIs so teams can migrate clients without rewriting application code.