Serve Any Model, Any Framework
Generative AI
Serve any Hugging Face model across text, image, multi-modal, and audio, with full support for OpenAI-compatible endpoints
Traditional ML
Deploy XGBoost, scikit-learn, and LightGBM models effortlessly.
Deep Learning
Run production-grade models built with PyTorch, TensorFlow, or Keras
Custom Containers
Deploy custom inference logic with your own Docker containers
RAG
Deploy embedding models, rerankers and vector databases
Vision Models
Deploy any vision model effortlessly

Run Anywhere: Cloud, On-Prem, or Edge
- Fully cloud-native Kubernetes based deployments
- Deploy on AWS, GCP, Azure, on-prem, or at the edge
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Effortless Auto-Scaling on CPUs/GPUs
- Supports both CPU- and GPU-intensive models
- Scale to zero or Autoscale on demand
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Secure & Controlled Access
- Fine-grained Role-Based Access Control
- Token based Authentication & API security
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Batch & Streaming Inference
- Serve real-time predictions via REST or gRPC
- Schedule or trigger batch inference
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Inbuilt Model Registry
- Inbuilt comprehensive model registry
- Auto-deploy models from registry
- Manage versions and metadata
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Full Observability & Monitoring
- Native support for Prometheus, Grafana, and OpenTelemetry
- Real-time logs, traces, and metrics
- Visibility across deployment, usage, and system health
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Delightful Developer Experience
- Intuitive UI, SDK & CLI to manage, test, and monitor your models.
- Developer-first design from local dev to production.
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Cost effective
- Intelligent infra optimization
- Efficient GPU utilization & spot instance support
- No vendor lock-in
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Enterprise-Ready
Your data and models are securely housed within your cloud / on-prem infrastructure.
Fully Modular Systems
Integrates with and complements your existing stackTrue Compliance
SOC 2, HIPAA, and GDPR standards to ensure robust data protectionSecure By Design
Flexible Role based access control and audit trailsIndustry-standard Auth
SSO Integration via OIDC or SAML


GenAI infra- simple, faster, cheaper
Trusted by 30+ enterprises and Fortune 500 companies
Testimonials TrueFoundry makes your ML team 10x faster
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Deepanshi S
Lead Data Scientist
TrueFoundry simplifies complex ML model deployment with a user-friendly UI, freeing data scientists from infrastructure concerns. It enhances efficiency, optimizes costs, and effortlessly resolves DevOps challenges, proving invaluable to us.


Matthieu Perrinel
Head of ML
The computing costs savings we achieved as a result of adopting TrueFoundry, were greater than the cost of the service (and that's without counting the time and headaches it saves us).


Soma Dhavala
Director Of Machine Learning
TrueFoundry helped us save 40-50% of the cloud costs. Most companies give you a tool and leave you but TrueFoundry has given us excellent support whenever we needed them.


Rajesh Chaganti
CTO
Using the TrueFoundry platform we were able to reduce our cloud costs significantly. We were able to seamlessly transit for AMI based system to a docker-Kubernetes based architecture within a few weeks.


Sumit Rao
AVP of Data Science
TrueFoundry has been pivotal in our Machine Learning use cases. They have helped our team realize value faster from Machine Learning.


Vivek Suyambu
Senior Software Engineer
TrueFoundry makes open-source LLM deployment and fine-tuning effortless. Its intuitive platform, enriched with a feature-packed dashboard for model management, is complemented by a support team that goes the extra mile.

9.9
Quality of Support
