GenAI Infrastructure

Power Your Generative AI Projects with Scalable, High-Performance Cloud Infrastructure

Generative AI demands a powerful, optimized cloud backbone. At CloudPerx, we help startups and businesses design and deploy infrastructure tailored for GenAI workloads — whether you’re training models, running inference, or scaling an AI-powered application.

✅ Dev teams scaling AI API services

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AWS support for startups and SMBs : cloudperx

What’s Included in the GenAI Infrastructure

GPU-Optimized Cloud Architecture

Setup with NVIDIA GPUs (A100, H100, etc.) for training and inference at scale.

Data Storage & Pipeline Integration

Streamlined connections to S3, BigQuery, and custom data lakes for training data.

Containerized & Scalable Deployments

Use Docker, Kubernetes, or serverless options for flexible model deployment.

Model Training Environments

Ready-to-use pipelines with support for TensorFlow, PyTorch, JAX, Hugging Face, etc.

Security & Cost Controls

Protect your models, APIs, and storage while managing GPU costs efficiently.

Multi-Cloud & Hybrid Support

Run GenAI on AWS, Azure, GCP, or your hybrid cloud environment.

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Priya Malhotra

“CloudPerx helped us validate our MVP on AWS in record time. The Free POC gave us the confidence to scale, and their advice saved us thousands in early infrastructure costs.”

Neha Kapoor

“The CloudPerx POC helped us uncover performance issues in our legacy app and transition to the cloud without disruption. Their expertise was a game changer.”

James R.

“As a non-technical founder, AWS was intimidating. But the CloudPerx team made it easy. The free proof of concept turned our idea into a live demo in under two weeks!”

Your AWS Launchpad — Funded, Fast, and Future-Ready.

Services Included with GenAI Infrastructure

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Smart Infrastructure for Smarter GenAI

What kind of models can I deploy using your GenAI infrastructure?

You can deploy open-source models like LLaMA, Falcon, Mistral, and proprietary ones like OpenAI via API. We also support custom-trained models hosted on AWS SageMaker, EC2, or EKS.

Do I need deep ML experience to use your infrastructure?

Not at all. Our team simplifies everything — from data pipelines to deployment. Whether you're a startup founder or an engineer, we adapt to your level of technical expertise.

How do AWS credits apply to GenAI services?

AWS provides up to $300K in credits specifically for companies building or scaling foundation models. We help you apply, qualify, and allocate them efficiently across GPU, storage, and network usage.

Can you help with both training and inference?

Yes. We optimize both the training phase (using GPU-accelerated EC2 or SageMaker) and inference (with low-latency, cost-effective deployment solutions).

What security measures are in place for GenAI workloads?

We ensure enterprise-grade security including IAM roles, encryption, network isolation, audit logging, and compliance with GDPR, HIPAA, and SOC2 — customized to your needs.