Skip to content

InfraTrueFoundry

TrueFoundry

Enterprise AI gateway and deployment platform that runs in your own cloud.

Categories
InfraInference
Pricing
PAID
Hosting
Hybrid
Platforms
WebAPI
Models
Multi-model
Verified
Jun 15, 2026

A unified platform for deploying, scaling, and governing LLM and agentic AI systems. It pairs an AI gateway that routes and orchestrates calls across providers with infrastructure for hosting models (vLLM, TGI, Triton), fine-tuning, and full-stack observability — deployed inside your own VPC, on-prem, or air-gapped environment with enterprise RBAC and audit logging.

Capabilities 6

What it actually does — grouped by capability family.

  • MCP gateway / registry (primary capability)
  • LLM gateway / routing (primary capability)
  • Model inference / serving (primary capability)
  • Fine-tuning / training (secondary capability)
  • LLM observability (secondary capability)
  • App / agent deployment (secondary capability)

Pros & cons

  • Runs in your own cloud, on-prem, or air-gapped
  • AI gateway plus model hosting in one platform
  • Enterprise governance: RBAC, audit logging
  • Framework-agnostic agent deployment
  • Enterprise-oriented; no public free tier
  • Heavier setup than a hosted-only API
  • Broad scope overlaps several point tools

Tags

Further reading

View all Infra
  • View Baseten details
    InferenceFREEMIUM

    Baseten

    Baseten

    Inference cloud for serving any AI model in production.

    Production inference platform offering both pre-optimized Model APIs (Llama, DeepSeek, and more, billed per token) and dedicated GPU/CPU deployments for custom models, billed per minute with no charge for idle time. Custom models are packaged with its open-source Truss format and autoscale, including scale-to-zero. Aimed at low-latency, high-throughput serving.

    Prebuilt Model APIs for Llama, DeepSeek
    Dedicated GPU rates run pricier than Modal
    • inference
    • model-serving
    • gpu
    • autoscaling
  • View Modal details
    InferenceFREEMIUM

    Modal

    Modal Labs

    Serverless GPUs. Run training, inference, batch jobs from Python.

    Define cloud workloads in Python, deploy with one command — GPU access on demand, fast cold starts, fair-share pricing. The default 'I need to fine-tune a model from a Jupyter cell' platform.

    Python-decorator infra, no YAML/Dockerfiles
    SDK lock-in; migrating means rewriting
    • gpu
    • serverless
    • python
    • training
  • View Portkey details
    InferenceFREEMIUMOpen core

    Portkey

    Portkey

    AI gateway with observability, guardrails, and governance.

    A production AI gateway that gives apps and agents unified access to 1,600+ LLMs across providers behind a single API, with built-in observability, prompt management, guardrails, and governance. Portkey adds routing, caching, fallbacks, cost limits, PII redaction, RBAC, and an MCP gateway. Its core gateway is open-source; run it self-hosted/hybrid or use the managed cloud, which offers a free tier.

    One API across many providers
    Acquired by Palo Alto Networks (closed 2025)
    • ai-gateway
    • llm-routing
    • observability
    • guardrails
  • View LiteLLM details
    InferenceFREEMIUMOpen core

    LiteLLM

    BerriAI

    AI gateway: call many LLMs through one OpenAI-format interface.

    Open-source Python SDK and proxy server (AI gateway) that exposes 100+ LLM providers through a single OpenAI-compatible API, with cost tracking, load balancing, fallbacks, caching, and guardrails. Self-host the proxy or use the managed cloud; a paid Enterprise tier adds SSO, audit logs, and support.

    Load balancing and guardrails built in
    Proxy adds an extra hop
    • gateway
    • proxy
    • routing
    • open-source
    • +1