VibOps FAQs

Question 1

What is VibOps and how does it manage GPU infrastructure?

Accepted Answer

VibOps is a provider-agnostic platform that unifies and manages GPU infrastructure across diverse cloud providers (AWS, GCP, Azure, on-prem). It offers a single interface to observe, operate, govern, and optimize your entire GPU fleet for efficient LLM and AI agent deployment.

Question 2

What FinOps features does VibOps provide for GPU resources and AI agents?

Accepted Answer

VibOps delivers comprehensive FinOps capabilities, including budget tracking, chargeback, waste analysis, and detailed cost-per-agent metrics. Its LLM Inference Proxy allows for granular cost attribution, tracking tokens, requests, and GPU-hours per AI agent.

Question 3

How does VibOps ensure governance and compliance for AI workloads?

Accepted Answer

VibOps offers robust governance tools like AI Act compliance controls, SOC 2/RGPD reporting, immutable audit logs, policy management, and anomaly detection. It helps enforce access rules and provides a verifiable record of all operations.

Question 4

Can VibOps help with LLM deployment and access control?

Accepted Answer

Yes, VibOps simplifies LLM deployment onto GPU clusters. Its integrated LLM Inference Proxy allows for agent attribution of inference requests and enables fine-grained model access control, ensuring the right agents use authorized models.

Question 5

What kind of observability does VibOps offer for GPU and Kubernetes environments?

Accepted Answer

VibOps provides comprehensive observability, including GPU utilization, workload breakdown, live Kubernetes deployment status, cost estimates, MTTR for alerts, and real-time monitoring across all your connected clusters.

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