Enterprise Kubernetes Engineering
The industry-standard container orchestration platform, powering resilient model serving at scale. We design, optimize, and deploy production-grade architectures utilizing the full capabilities of the Kubernetes ecosystem.
Kubernetes
Production Certified
Kubernetes is our primary orchestration tool for deploying and scaling containerized machine learning models. We configure clusters to manage high-throughput inference runtimes, schedule GPU resources, and automate rolling model updates with zero downtime.
Our Kubernetes Engineering Services
We deliver highly specialized, production-ready systems tailored to your technical requirements.
GPU Scheduling & Scaling
We configure Kubernetes GPU schedules, dividing node pools and taints to ensure ML workloads target active hardware accelerators.
KServe Model Deployments
We deploy serverless model endpoints utilizing KServe, enabling automated scaling based on traffic requests.
GitOps Infrastructure Management
We manage cluster configurations using GitOps (ArgoCD), ensuring staging and production configurations remain synchronized.
Prometheus Monitoring & Alerting
We set up Prometheus and Grafana dashboards to track GPU temperatures, memory utilization, latency, and throughput.
Kubernetes Tooling & Stack Integrations
We operate across the entire modern ecosystem surrounding Kubernetes, deploying optimized dependencies and configurations.
MLOps Tools on K8s
Specialized Kubernetes tools used to orchestrate model lifetimes.
Cluster Management
Core services used to deploy and sync cluster configurations.
Observability Stack
Monitoring stacks capturing cluster telemetry and health.
Production-Grade Engineers
Top 1% Seniority
Certified Kubernetes Administrators (CKA) managing cluster configurations.
Immediate Velocity
Expert knowledge in GPU resource allocation, node pools, and taint configurations.
Compliance Native
Comprehensive MLOps integration with KServe, Kubeflow, and Prometheus monitoring.
Proven Results with Kubernetes
Explore how we leverage Kubernetes to build business-critical platforms and achieve operational milestones.
Kubernetes Cluster Hosts 50+ Custom LLM Inferences Securely
We designed a multi-tenant Kubernetes cluster that schedules PyTorch models across A100 GPU pools, reducing hosting costs by 35%.
Automated OCR Ingestion Engine Auto-Scales to Process Spike Workloads
Configured KPA autoscaling on a Kubernetes cluster, allowing OCR container runtimes to scale from 2 to 30 nodes during peak hours.
Flexible Engagement Models
Scale your engineering capacity dynamically. We integrate seamlessly into your operations with three battle-tested engagement models.
Staff Augmentation
Inject senior AI and MLOps engineers directly into your active squads. Rapidly scale resources with dedicated support under your management.
Dedicated Team
A self-governing team of engineers, project managers, and QA specialists built specifically to design, build, and support your proprietary AI pipelines.
Full Build & Deliver
Fixed-scope or milestone-driven development. We take ownership from requirements definition and MVP design to final production handoff.
Compliance-First Deployment Standards
We integrate safety controls natively. Every Kubernetes application is architected to satisfy strict global compliance and privacy policies.
SOC 2 Type II
Logical isolation & logs
HIPAA PHI
PHI data de-identification
ISO/IEC 27001
International safeguards
Common Kubernetes Questions
Why do you use Kubernetes for model deployment? expand_more
How do you handle GPU sharing in Kubernetes? expand_more
Do you support Helm for MLOps configurations? expand_more
How do you monitor model latency in Kubernetes? expand_more
What GitOps tools do you use? expand_more
Accelerate Your AI Project with Kubernetes
Schedule an architectural blueprint review session with our senior Kubernetes engineers to map your database, compliance, and MLOps strategies.