The full AI stack, built on bare metal.
Velox's bare-metal GPU and NPU infrastructure combined with Aegis, Metis, and Signum into a single managed AI cloud. GPU provisioning, infrastructure management, model training, inference serving, and unified governance — fully integrated, fully managed. The AI cloud for teams who need both the compute and the platform, without assembling them separately.
GPU compute is necessary but not sufficient.
The teams moving fastest aren't just provisioning hardware — they're deploying a complete AI operating environment. Most GPU cloud providers stop at the hardware layer. You get servers, networking, and an OS — then your team builds everything else. That means engineering time spent on infrastructure instead of AI, and model deployment timelines measured in months instead of days. Telox integrates Velox's dedicated bare-metal GPU and NPU infrastructure with the software stack your AI workflows actually need: Aegis for private cloud IaaS, Metis for production model serving, and Signum for unified governance and operations — all pre-integrated, all managed. The result is the fastest path from GPU allocation to running AI workloads in production. Your team arrives at an environment where infrastructure is already abstracted, models can be served immediately, and governance is built in from day one — not bolted on later.
FP32 compute per node — NVIDIA HGX B200 × 8, zero hypervisor overhead
Performance advantage vs. hypervisor-based GPU cloud
GPU utilization achieved with xPU-aware AI scheduling
GPU provisioning, model serving, infrastructure, and governance — fully integrated
Bare-metal AI infrastructure, managed as a complete cloud.
Telox combines the hardware foundation of Velox with the software capabilities of the Thaki AI platform — delivered as a unified, managed cloud service.
From GPU infrastructure to production AI — a single managed environment.
Bare-Metal GPU and NPU Infrastructure
Maximum performance, zero sharing. Dedicated GPU and NPU servers with no hypervisor overhead, no shared tenancy, and no noisy-neighbor effects. The full throughput of physical hardware, available on demand — the same foundation as Velox, integrated into a managed AI cloud stack.
Aegis IaaS
Cloud infrastructure without cloud lock-in. Full private cloud IaaS capabilities — VM management, block and object storage, virtual networking, and self-service provisioning — running on top of Velox's bare-metal infrastructure within Thaki's managed cloud environment.
Metis Inference
Production model serving, pre-integrated. GPU and NPU-aware model serving, auto-scaling inference pipelines, and full observability — ready to receive model deployments the moment you provision. No separate inference infrastructure to configure, no custom serving layer to build.
Signum Control Plane
Governance built in from day one. Unified access control, role-based permissions, centralized logging, audit trails, alerting, and multi-channel notification — spanning every layer of the Telox stack. Enterprise governance from the first GPU you provision.
Kubernetes-Based Execution Environment
Container-native AI operations. Kubernetes-based workload orchestration on bare-metal infrastructure — container-native deployment for training jobs, inference services, and agent workloads without the performance penalty of nested virtualization.
AI Training and Inference Operations
GPU and NPU for every workload type. Telox handles both training and inference workloads on the same integrated platform — scheduling GPU and NPU resources intelligently across training jobs and serving endpoints without resource contention.
Built for teams that need the AI cloud — not just the hardware.
Arrive at a production-ready AI environment, not a blank server
Enterprise AI teams: skip the infrastructure assembly phase entirely. Telox provisions GPU compute with AI infrastructure, model serving, and governance already integrated — so your team starts building AI workloads immediately.
Managed AI cloud with governance and auditability from day one
Financial services: run GPU-intensive AI workloads in a fully managed cloud environment with Signum's unified control plane providing the access control, audit trails, and compliance infrastructure regulated teams require.
Production AI infrastructure without the infrastructure team
AI startups and scaleups: access the compute and platform of an enterprise AI cloud without building or managing the underlying stack. Telox is the environment serious AI teams deploy on when they can't afford infrastructure as a distraction.
Managed GPU cloud as the foundation for internal AI services
Enterprise AI platform teams: use Telox as the infrastructure layer for an internal AI services platform — provisioning compute, managing model endpoints, and enforcing governance across multiple teams from a single managed environment.
Two ways to get bare-metal GPU — with or without the platform.
| AI-Native GPU Cloud (Telox) | Bare Metal GPU Cloud (Velox) | |
|---|---|---|
| Hardware | GPU/NPU servers, network, OS | GPU/NPU servers, network, OS |
| AI Platform | Aegis + Metis + Signum included | Not included |
| Best for | Teams that need compute and platform | Teams with their own software stack |
| Operational model | Fully managed AI cloud | Managed hardware, self-managed software |
| Time to running AI workloads | Minutes | Depends on your software stack |
Ready to deploy AI at full stack?
Talk to our team about provisioning Telox — GPU and NPU infrastructure with the full AI platform on top.