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Case Study
How Nvidia uses LLM Agents to Optimize GPU Cluster Utilization

Enterprise‑Ready Agentic AI — Secure, Scalable, Governed

On-prem, VPC, air-gapped, hybrid, or public cloud

Trusted by the best teams!

Govern, Deploy, Scale & Trace Agentic AI in One Unified Platform

Orchestrate Agentic AI with AI Gateway

Enable intelligent multi-step reasoning, tool usage, and memory with full control and visibility across your AI agents and workflows.

AI Gateway

Manage agent memory, tool orchestration, and action planning through a centralized protocol that supports complex, context-aware workflows.

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MCP & Agents Registry

Maintain a structured, discoverable registry of tools and APIs accessible to agents, complete with schema validation and access control.

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Prompt Lifecycle Management

Version, manage, and monitor prompts to ensure high-quality, repeatable behavior across agents and use cases.

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Deploy and Scale Any Agentic AI Workload

Host any AI Model

Run any LLM, embedding model, or custom models using high-performance backends like vLLM, TGI, or Triton — optimized for speed and scale.

Finetune Any Model

Launch fine-tuning jobs on your data, track experiments, and deploy updated checkpoints directly to production — all in one flow.

Deploy MCP Server

Provision dedicated Model Control Protocol (MCP) servers to manage agent traffic, scale model access, enforce rate limits, and isolate workloads by team or project.

Deploy Any Agent, Any Framework

Seamlessly serve agents built with Langgraph, CrewAI, AutoGen, or your own orchestration — fully containerized, observable, and production-ready.

Deploy TrueFoundry in any environment

VPC, on-prem, air-gapped, or across multiple clouds.

No data leaves your domain. Enjoy complete sovereignty, isolation, and enterprise-grade compliance wherever TrueFoundry runs.

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Enterprise-Ready

Your data and models are securely housed within your cloud / on-prem infrastructure

  • Compliance & Security

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

  • Governance & Access Control

    SSO + Role-Based Access Control (RBAC) & Audit Logging

  • Enterprise Support & Reliability

    24/7 support with SLA-backed response SLAs

Observe Agents and Underlying Infrastructure

Framework-agnostic tracing for everything from prompt execution to GPU performance.

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Full Agent Observability

Trace every step from prompt to tool/model execution with metrics, latency, and outcomes

Seamless Integration with Internal Tools

OpenTelemetry-compliant; plug into Grafana, Datadog, Prometheus, or your preferred observability stack

Infra Observability (GPU, CPU, Cluster)

Monitor resource usage across cloud/on-prem — including GPU memory, node health, and scaling behavior

Govern and Enforce Compliance Across Enterprise-Grade AI

Establish trust and operational discipline with robust access controls, policy enforcement, and full-stack observability - natively integrated from day one.

Granular Role-Based Access Control (RBAC)

Precisely control who can access models, environments, or APIs based on teams, roles, and functions.

Immutable Audit Logging

Record all activity including model usage, user access, and configuration changes to ensure complete audit readiness.

Compliance-Ready Architecture

Built to meet the highest standards of security and compliance including SOC 2, HIPAA, and GDPR.

Unified Monitoring and Alerting

Track latency, throughput, token usage, costs, and GPU utilization across your AI stack via centralized dashboards and alerts.

Real-Time Policy Enforcement

Enforce policies related to data residency, usage quotas, rate limits, and cost control dynamically as workloads run.

We Envision an AI-Optimized & Management-Free AI Infrastructure

Automated Resource Optimization Without Operational Overhead

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GPU Orchestration and Autoscaling

Automatically schedule and scale GPU workloads to match demand, optimizing performance without overprovisioning.

Fractional GPU Support
(MIG and Time Slicing)

Enable cost-effective sharing of GPU resources across multiple workloads using NVIDIA MIG and time slicing.

Real-Time Resource
Optimization

Continuously adjust CPU and memory allocations based on actual traffic and compute needs.

Automated Infrastructure Rightsizing

Detect and correct overprovisioned infrastructure to reduce cloud waste while maintaining SLAs and model performance.

Real Outcomes at TrueFoundry

Why Enterprises Choose TrueFoundry

3x

faster time to value with autonomous LLM agents

80%

higher GPU‑cluster utilization after automated agent optimization

Aaron Erickson

Founder, Applied AI Lab

TrueFoundry turned our GPU fleet into an autonomous, self‑optimizing engine - driving 80 % more utilization and saving us millions in idle compute.

5x

faster time to productionize internal AI/ML platform

50%

lower cloud spend after migrating workloads to TrueFoundry

Pratik Agrawal

Sr. Director, Data Science & AI Innovation

TrueFoundry helped us move from experimentation to production in record time. What would've taken over a year was done in months - with better dev adoption.

80%

reduction in time-to-production for models

35%

cloud cost savings compared to the previous SageMaker setup

Vibhas Gejji

Staff ML Engineer

We cut DevOps burden and simplified production rollouts across teams. TrueFoundry accelerated ML delivery with infra that scales from experiments to robust services.

50%

faster RAG/Agent stack deployment

60%

reduction in maintenance overhead for RAG/agent pipelines

Indroneel G.

Intelligent Process Leader

TrueFoundry helped us deploy a full RAG stack - including pipelines, vector DBs, APIs, and UI—twice as fast with full control over self-hosted infrastructure.

60%

faster AI deployments

~40-50%

Effective Cost reduction of across dev environments

Nilav Ghosh

Senior Director, AI

With TrueFoundry, we reduced deployment timelines by over half and lowered infrastructure overhead through a unified MLOps interface—accelerating value delivery.

<2

weeks to migrate all production models

75%

reduction in data‑science coordination time, accelerating model updates and feature rollouts

Rajat Bansal

CTO

We saved big on infra costs and cut DS coordination time by 75%. TrueFoundry boosted our model deployment velocity across teams.

Integrations

Framework-agnostic integrations for everything from low-code agent builders to GPU-level performance evaluation.

GenAI infra- simple, faster, cheaper

Trusted by Top Teams to Scale GenAI

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