Take Control of How Your AI Runs.
Whether you already own AI infrastructure, are preparing to build it, or are deciding between dedicated infrastructure and public cloud, Thaki Cloud helps you create the environment your AI needs to move from compute to production.
Build the AI environment that fits your strategy.
Whether you need dedicated GPU infrastructure, a fully managed AI environment, or a foundation for your own NeoCloud, Thaki Cloud gives you a clear path from compute capacity to production AI. Start with the level of infrastructure and platform control you need today—and evolve as your AI requirements grow.
Bare Metal GPU Cloud|Velox
Dedicated AI infrastructure, built around your workloads.
Get direct access to high-performance GPU and NPU infrastructure without the virtualization layer between your workloads and the hardware. Velox gives organizations a dedicated compute foundation for AI—with predictable performance, infrastructure control, and cloud-style provisioning through console or API. For teams building their own AI environment, Velox provides the infrastructure layer without forcing them into someone else's platform stack.
AI-Native GPU Cloud|Telox
From GPU infrastructure to production AI.
Telox combines dedicated GPU infrastructure with the cloud and AI platform capabilities required to run AI workloads without assembling the stack yourself. Provision resources, schedule GPU workloads, train and serve models, manage Kubernetes environments, and apply operational and governance controls through an integrated AI cloud environment. For organizations that want the control and performance of dedicated infrastructure with a more complete cloud operating experience.
Consistent architecture, in any deployment.
From infrastructure to orchestration to agents, Thaki delivers the exact same stack — no matter where you deploy.
Paxis
Autonomous agents that never leave your walls.
Build and orchestrate multi-agent workflows that connect directly to your internal data, systems, and tools — with no external API dependencies required. Native RAG engine, MCP Tool Hub for enterprise system integration, and full AgentOps audit trails built in. Token costs reduced by up to 75% versus external API-based agent approaches.
Find the right fit for your enterprise.
Choose the deployment model that fits your infrastructure, control, and operational requirements.
NeoCloud
Dedicated AI infrastructure with a cloud operating experience.
Access dedicated GPU and NPU infrastructure through Velox, or move directly into an integrated AI environment with Telox. Thaki Cloud operates the underlying infrastructure so teams can move from compute to production AI without assembling every layer themselves.
On-Prem AI Cloud
Full operational authority over every layer of your AI infrastructure.
Deploy the complete Thaki platform directly inside your own environment—leveraging your infrastructure, your network, and your strict controls.
Why enterprises choose THAKI.
Six things our platform does that most infrastructure or agent vendors don't do together.
Build around your infrastructure strategy
Whether you already own GPU infrastructure, are planning to build it, or are evaluating public cloud versus dedicated infrastructure, Thaki Cloud gives you a path to build an AI environment around the model that fits your organization.
One platform, full stack
Compute, containers, storage, GPU scheduling, model serving, and agents operate cohesively from a unified platform, not as stitched-together point tools.
Security and governance built in
Multi-tenancy, RBAC, and auditing are native to the architecture, ensuring enterprise-grade security and data control come standard.
Turn infrastructure into an AI environment
Owning GPUs is only the beginning. Thaki Cloud brings together the infrastructure, orchestration, AI platform, and operational capabilities required to move from raw capacity to production AI.
GPU efficiency that pays for itself
Usage-aware optimizations maximize GPU utilization and minimize idle costs, consistently driving down the TCO of large-scale AI operations.
Agents that work like a team
AI agents collaborate and improve inside a robust trust layer featuring built-in security, strict permissions, and comprehensive audits—empowering you to delegate real work with absolute confidence.
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
PaxisExternal API dependencies when operating fully within your perimeter
Platform-wideBuilt for your enterprise and your needs.
Different industries, different constraints — one platform built to meet each of them on its own terms.
Run regulated AI workloads without compromise
Deploy agents and models air-gapped or hybrid to meet data residency and audit requirements, while scaling into cloud capacity for research, modeling, and peak demand.
Meet agency-grade control and accountability standards
Operate the full platform entirely within government-controlled environments, with the access control and audit trail required for public-sector accountability.
Turn AI infrastructure into a production-ready NeoCloud
Transform dedicated GPU capacity into an environment that can be provisioned, scheduled, governed, and operated for production AI workloads.