Zero-downtime, hardened Kubernetes clusters with private GPU inference.
Infrastructure Pillars
Enterprise MLOps & Cloud Capabilities
01
MLOps & LLMOps Architecture
End-to-end telemetry pipelines tracking token usage, latency, semantic drift, prompt versioning, cost, and hallucination rates in real time.
Key Features:
Real-time token cost and prompt latency observability
Automated evaluation suites and semantic drift alerting
Centralized prompt registry and A/B test routing
End-to-end trace visualization across complex multi-step pipelines
LangfuseArize PhoenixLangSmithOpenTelemetry
02
High-Throughput GPU Inference Hosting
Setting up scalable, cost-effective self-hosted inference clusters on AWS, GCP, CoreWeave, or bare-metal providers with dynamic batching and prefix caching.
Key Features:
PagedAttention & continuous batching for maximum GPU utilization
Multi-GPU tensor parallelism and speculative decoding
Auto-scaling GPU clusters with cold-start minimization
Up to 70% cost reduction compared to closed commercial APIs
vLLMTensorRT-LLMTriton Inference ServerRay Serve
03
Cloud Infrastructure as Code (IaC)
Automated cloud environment provisioning, containerization, and GitOps CI/CD delivery pipelines configured with immutable code.
Key Features:
Multi-region VPC peering and automated failover topologies
Kubernetes auto-scaling worker nodes and ingress controllers
GitHub Actions automated staging and canary preview environments
Automated disaster recovery backups and snapshot schedules
TerraformOpenTofuDockerKubernetes (EKS/GKE)
04
AI Security & Guardrails
Hardening AI workflows against prompt injection, jailbreaks, and sensitive PII data leakage, ensuring strict compliance with regulatory standards.
Key Features:
Real-time PII redaction and token anonymization
Input / output guardrails preventing harmful or off-topic outputs
Comprehensive audit logging for enterprise compliance
Vulnerability assessment and automated penetration testing
NeMo GuardrailsLlama GuardPresidioSOC 2 / HIPAA
Need to optimize GPU inference or cloud costs?
Our infrastructure architects will review your cloud bills, inference latencies, and observability stack.
