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High-Performance GPU Infrastructure for ML & AI Workloads

Train, fine-tune, and serve models faster with flexible, cost-aware GPU access—across any cloud.

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Pods versions table with status, deployed by, and recommendations columns showing various pod deployment statuses.

Multi-Cloud/On-Prem GPU Deployment

  • Launch GPU workloads across AWS, Azure, and GCP or On-Prem
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Effortless GPU Experience

  • Work with GPUs just like you work with CPUs. No change in your development workflow.
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Clusters list showing GCP, generic, Azure, and AWS clusters with nodes and versions.
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Fast Autoscaling for GPU Workloads

  • Scale GPU resources up or down based on demand—automatically.
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Time Slicing & MIG

  • Run multiple isolated tasks on a single GPU using NVIDIA MIG and time slicing. Maximize utilization, minimize waste.
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Cloud cost optimization recommendations for CPU and memory overprovisioning with potential monthly savings.

Smart Idle Shutdown

  • Automatically stop unused GPU workloads with custom idle policies—no manual intervention needed.
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Wide Range of GPUs

  • Pick from H100, A100, T4, and more—optimized for everything from LLMs to lightweight inference.
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Table showing version and status of tasks with finished, failed, scheduled, terminated, and running labels.
Cost savings report showing 151 total activities and $679 monthly savings with various action recommendations.

Secure & Isolated

  • Every GPU task runs in a secured, isolated container.
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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 stack

  • True Compliance

    SOC 2, HIPAA, and GDPR standards to ensure robust data protection

  • Secure By Design

    Flexible Role based access control and audit trails

  • Industry-standard Auth

    SSO Integration via OIDC or SAML
Awards badges for Momentum Leader, Best Support, Best Est. ROI, Users Love Us, High Performer.
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GenAI infra- simple, faster, cheaper

Trusted by 30+ enterprises and Fortune 500 companies

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Talk to Experts

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
G 2
Read More
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