AI Services / Infrastructure & Cloud

AI Infrastructure That Scales Without Thinking About It

Serverless GPU provisioning, multi-cloud orchestration, and AI model serving, all fully managed. Focus on your AI product, not the plumbing.

< 200ms
cold start
99.99%
availability
60%
cost reduction
Auto-scales
to 0
2,847 req/s
AWS
GCP
Azure
Solnix AI Layer
GPU Inference
Vector Store
API Gateway
Monitoring

Platform Capabilities

Built for Production AI at Scale

Zero Cold Starts

Predictive warm-up keeps compute pre-warmed based on traffic patterns. Users never wait for infrastructure to boot.

Model Versioning

Full model lifecycle management. Roll out new models gradually, run A/B tests, and instant rollback to any previous version.

Hybrid Cloud Support

Seamlessly blend on-premise GPUs with cloud compute. Burst to cloud when on-prem is saturated.

Observability Stack

Built-in logging, distributed tracing, and metrics for every model call. p50/p95/p99 latency tracking out of the box.

Security & Compliance

VPC isolation, encryption at rest and in transit, RBAC, and compliance with SOC 2, HIPAA, and GDPR.

FinOps Automation

Real-time cost tracking per model, per customer, per feature. Automated savings plans and reserved instance purchasing.

How It Works

From Assessment to Fully Managed

01

Infrastructure Audit

We assess your current AI infrastructure, costs, performance bottlenecks, scaling gaps, and security posture.

Cloud cost analysis
Performance benchmarking
Security assessment
Scaling gap identification
02

Architecture Design

We design your target AI infrastructure architecture, right-sized, multi-cloud, with cost and performance optimization built in.

Target architecture design
Cost modeling
Disaster recovery planning
Security architecture
03

Migration & Deployment

We migrate your workloads with zero downtime, deploying your new infrastructure in parallel and cutting over cleanly.

Parallel deployment
Zero-downtime migration
Rollback planning
Performance validation
04

Managed Operations

Ongoing infrastructure management: patching, scaling, cost optimization, and 24/7 monitoring with SLA guarantees.

24/7 monitoring
Automated scaling
Monthly cost reports
Quarterly architecture reviews

Before vs. After

What Changes When You Work With Us

DimensionSelf-managedWith Solnix
Inference latency500ms–2s self-managed< 200ms fully optimized
Infrastructure costMassively over-provisioned60% savings with auto-scaling
GPU utilization< 20% typical85%+ with intelligent scheduling
Deployment timeHours/days of DevOpsMinutes with managed platform
Incident responseOn-call engineer, 30min+Auto-remediation, < 2 min
Compliance readinessMonths of manual workBuilt-in, always-ready

Technology

Built on Best-in-Class Infrastructure

Compute
NVIDIA A100H100AWS EC2 Inf2GCP TPU v4
Orchestration
KubernetesKEDAKnativeRayTemporal
Model Serving
vLLMTensorRT-LLMTriton Inference ServerBentoML
Storage
PineconeWeaviatepgvectorS3GCS
Observability
PrometheusGrafanaDatadogOpenTelemetry

FAQ

Common Questions

Get Started

Scale your AI infrastructure without the infrastructure headache

Fully managed, production-grade AI infrastructure. Deployed in days, not months.

Talk to usRequest a demo