Complete End-to-End
AI Infrastructure Stack
From dedicated bare metal GPU infrastructure to production-ready autonomous agents — a complete AI platform, entirely within your environment.
Running AI at enterprise scale requires control at every layer.
Most enterprises are running AI on a patchwork — public cloud compute here, external APIs there, tools that don't talk to each other. Every seam is a cost, a risk, or a performance loss. For the first time, all five layers are available from a single provider, fully integrated and fully within your perimeter.
Velox|Bare Metal Cloud
The compute foundation. No compromises.
Dedicated physical servers with zero hypervisor overhead. Up to 18 PFLOPS FP32 per node on NVIDIA HGX B200 × 8 — provisioned in minutes via API, not days. When the rest of the stack needs raw GPU power, Velox is what it runs on.
Telox|AI Native GPU Cloud
GPU infrastructure to AI operations — as a single cloud.
NVIDIA H200 · B200 · B300 infrastructure, Kubernetes-native runtime, Kueue-based GPU scheduling, Metis LLMOps/MLOps, and Signium governance. For teams that need the complete AI workload environment, not just bare metal.
Aegis|Private Cloud
Your cloud, inside your perimeter.
VM, Bare Metal, and Kubernetes — unified in a single private cloud platform. Enterprise AI workloads run on infrastructure you fully control, with predictable costs and no exposure to public cloud variability. TCO break-even in approximately 8.2 months versus hyperscalers.
Metis|MLOps Platform
Your GPU investment, fully utilized.
A Kubernetes-native AI operations platform that manages distributed GPU/xPU resources, automates training and fine-tuning pipelines, and runs serverless inference — all within your infrastructure. GPU utilization above 75%. The entire AI lifecycle on one platform.
Praxis|AI Agent Platform
Autonomous agents that never leave your walls.
Build and operate multi-agent workflows on your internal data — without external API dependencies. Hybrid RAG engine, MCP Tool Hub, and full AgentOps audit trails. Token costs reduced by up to 75% versus external API-based approaches.
Signium|Unified Control Plane
One control plane across every layer.
IAM, audit logs, security, KMS, alerts, and Cloud Builder — unified across Aegis, Metis, and Praxis. Deploying a cloud and controlling one are different things. Signium is what makes the difference.
The full stack, measured at every layer.
FP32 compute per node — NVIDIA HGX B200 × 8, zero hypervisor overhead
Velox / TeloxPerformance reclaimed by removing the hypervisor layer
Velox / TeloxAverage TCO break-even vs. hyperscalers
AegisGPU utilization achieved with xPU scheduling optimization
MetisReduction in external token costs when running agents on-prem
PraxisExternal API dependencies when operating fully within your perimeter
Platform-wideThaki Cloud Full-Stack Architecture
One stack. Designed end to end.
Most enterprise AI environments are assembled from parts — compute from one vendor, infrastructure from another, tools from a third. Every boundary between them is a gap in performance, security, or control. Thaki Cloud's architecture was designed without those gaps: from bare metal GPU compute through private cloud infrastructure, AI operations, and autonomous agents, every layer is built to work with the one above and below it — and governed by a single control plane, Signium Unified Control Plane, across all of them.
Praxis · Autonomous Agent Platform
Build and operate multi-agent workflows on your internal data without external API dependencies.
Metis · MLOps Platform
Kubernetes-native AI operations platform managing distributed GPU/xPU resources, training pipelines, and serverless inference.
Aegis · Private Cloud
VM, Bare Metal, and Kubernetes unified in a single private cloud platform with predictable costs.
Velox · Bare Metal Cloud
Dedicated physical servers with zero hypervisor overhead.
Telox · AI Native GPU Cloud
Full-stack AI-Native GPU Cloud from infrastructure to AI operations.
Data Center — Private / Dedicated
Private / Hybrid AI cloud infrastructure customizable to customer environments.
Ready to own
your AI infrastructure?
From bare metal to agents — one integrated stack, one provider, fully within your perimeter. Talk to a Thaki Cloud solutions architect about the configuration that fits your workload.
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