Sorami Consulting designs and deploys resilient cloud systems, production Kubernetes platforms, and private GPU inference infrastructure directly across customer-owned cloud environments.
We bridge cloud architecture and production model deployment. We design infrastructure that keeps customer data inside their perimeter, optimizes compute spend, and delivers verifiable system reliability.
Deploy private, high-throughput model inference clusters into customer VPCs across AWS, GCP, and Azure. Zero outbound data leakage, GPU resource scheduling, and continuous batching.
Production-grade cluster design, GitOps delivery automation, and security hardening for mission-critical microservice environments.
Strategic cloud foundations, multi-account landing zones, infrastructure cost containment (FinOps), and architectural assurance.
Consulting engagements should never be ambiguous. We define explicit architectural deliverables, technology stacks, and operational outcomes from day one.
| Engagement Pillar | Core Technical Scope & Deliverables | Production Value |
|---|---|---|
|
Private Model Inference Platform
vLLM · Triton · NVIDIA GPU Operator
|
Containerized model serving deployed on customer-hosted Kubernetes (EKS/GKE). Configuration of continuous batching, PagedAttention, KV-cache sizing, and model weight ingestion pipelines from private storage buckets. | Zero Data Leakage: Customer queries and proprietary model weights remain strictly inside the customer's cloud boundary. |
|
Multi-Tenant GPU Orchestration
Karpenter · KEDA · MIG Slicing
|
Automated GPU node provisioning, spot instance lifecycle management, and Multi-Instance GPU (MIG) slicing to maximize hardware utilization across batch and interactive workloads. | Cost Predictability: Eliminates idle GPU waste with demand-driven node scaling and fast spin-down. |
|
Kubernetes Platform Foundation
Terraform · ArgoCD · Cilium
|
Turnkey Infrastructure-as-Code for production Kubernetes clusters. Implements eBPF network security (Cilium), zero-trust pod egress controls, and automated GitOps release workflows. | Audit-Ready Security: Complete infrastructure reproducibility with cryptographic versioning in Git. |
|
Inference Observability & SLOs
Prometheus · OpenTelemetry · Grafana
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Granular metrics instrumentation tracking Time-To-First-Token (TTFT), tokens-per-second, GPU memory saturation, queue latency, and automated model health probes. | Operational Visibility: Real-time alerting on inference degradation before client SLA breaches occur. |
When enterprise clients have stringent compliance, data sovereignty, or intellectual property constraints, proxying inference through third-party SaaS APIs is prohibited. We engineer the self-hosted inference plane.
Inference clusters are provisioned inside the customer's private subnets with strict security group isolation. Ingress routes through private network load balancers; all public egress is denied by default.
Deploying open-weights architectures on vLLM and Triton Inference Server, configured for optimal tensor parallelism, flash attention kernels, and quantized model formats (AWQ, FP8, GPTQ).
Node-level autoscaling tied directly to pending inference queue depths using KEDA and Karpenter, scaling GPU instances down to zero during off-peak windows.
We provide structured scoping to review your client's target cloud provider, compute tier availability (A100, H100, L40S, or T4), network topology requirements, and target latency thresholds.
We maintain a direct engagement model. Clients collaborate directly with specialist systems architects who design and implement the technical deliverables.
Specialist engineering across distributed cloud systems, production Kubernetes platforms, multi-cloud landing zones, and automated Infrastructure-as-Code delivery.
Technical advisory for systems resilience, architectural governance, cloud compute unit economics (FinOps), and enterprise-grade deployment controls.
Reach out directly to evaluate architecture feasibility, scope a Kubernetes or model inference cluster build, or schedule an initial consultation with our practice leads.