Zotect Services
We provide four core services that help organizations build infrastructure, put AI into production, and connect modern platforms to existing environments.
AI Infrastructure
Design and deploy AI systems from a single GPU server to a GPU cluster, integrating compute, RDMA networking, storage and scheduling with acceptance testing.
View service details- Workload & Capacity PlanningAssess inference, training, fine-tuning and scientific computing to select GPUs and size the system.
- Site Readiness & InstallationReview power, cooling and space, then install racks, servers and cabling to the agreed design.
- GPU Compute, RDMA & StorageDesign GPU topology, InfiniBand or RoCE fabrics, and storage paths for datasets, checkpoints and model weights.
- System Software & OrchestrationInstall and tune the OS, drivers, CUDA and NCCL, with Kubernetes or Slurm selected for the workloads.
- Validation, Support & OperationsValidate against acceptance criteria, provide documentation and agree on support and operating responsibilities.
LLMOps
Extend AI infrastructure into GPU model serving and inference, from DGX Spark and DGX Station to clusters, with resource management and usage visibility.
View service details- Model Serving & InferenceSelect a serving stack and evaluate models against GPU memory, context length and concurrency before sizing deployment.
- Kubernetes, Slurm & NVIDIA OperatorsDeploy GPU and Network Operators on Kubernetes, validate RDMA and separate resource pools for Slurm workloads as designed.
- Cluster Management & Resource QuotasUse NVIDIA Base Command Manager and Run:ai for cluster management and GPU, CPU and RAM budgets, with Kubernetes storage and tenancy policies.
- NVIDIA AI Enterprise & Open SourceSelect NVIDIA NIM or tools such as vLLM, SGLang, LMCache and LiteLLM around workloads and licensing requirements.
- Monitoring & Optional IntegrationsMonitor resources, latency, throughput and capacity trends, with RAG, evaluation and release workflows integrated to the agreed scope.
Modern IT Infrastructure
Design, deploy and operate cloud, Kubernetes, platforms and networks for enterprise systems, connecting monitoring to an agreed operating scope.
View service details- Public CloudDesign landing zones and deploy resources on AWS, Microsoft Azure, Google Cloud and Oracle Cloud, including EKS, AKS, GKE and OKE.
- Private CloudDesign, install and configure Proxmox VE or OpenStack, sizing compute, networking and storage for workloads across small, medium and large deployments.
- KubernetesDesign, deploy, upgrade and operate clusters, including scale-out, autoscaling, maintenance and support.
- Platform Engineering & DevOpsDesign CI/CD, GitOps and infrastructure as code, with logging, monitoring and APM.
- Enterprise Network & Zero TrustDesign SME, enterprise and data center networks with segmentation and access policies aligned to users and systems.
- Monitoring & OperationsProvide NOC, SOC and managed services with agreed incident escalation, ownership and operating responsibilities.
Data Centers
We place your GPUs in a ready data center, from high-density space and installation through acceptance and on-site support.
View service details- High-Density GPU ColocationSource space, power, and cooling for NVIDIA GPUs, from a single node to full clusters.
- Rack, Stack, and Structured CablingInstall GPU and CPU servers, configure rPDUs and cable to the agreed design, documenting each connection.
- Commissioning and Acceptance TestingCheck power, BMC access, and every link against the cabling matrix, and record the results for acceptance.
- Data Center ReadinessAssess power per rack, air or liquid cooling, floor loading and rack layout before GPU installation.
- Smart HandsOn-site engineers support GPU servers, CPU servers, and networks to your SLA.