Getting Started with ShaSentra Labs
The AI infrastructure platform that takes you from idea to production — faster, more securely, and at any scale. Train deep learning models, deploy AI to the edge, orchestrate hybrid cloud + quantum workloads — all from one unified platform.
Create Your Command Center
- Sign Up Free with our Hobby Tier.
- SSO Options: Google, GitHub, Okta, Azure AD.
- Choose Region: US, Europe, Asia, or private cloud.
Choose Your Power Stack
- Cloud GPUs: T4, L4, L40S, A100, H100, H200, B200.
- Edge AI: Jetson, ARM, embedded boards.
- Quantum: AWS Braket, IonQ, Qiskit integrations.
- Hybrid Orchestration: Seamless cloud ↔ edge routing.
- OS Choice: Secure Linux or Windows images.
Zero-Touch Deployments
- Deploy via UI or CLI in minutes.
- Built-in auto-scaling & rollback.
- Smart cost routing for optimal performance.
Model Studio
- Deploy pre-trained or custom models instantly.
- Auto-optimize for cloud & edge (ONNX, TensorRT).
- Ready API endpoint in under 60 seconds.
import requests
endpoint = "https://api.shasentra.dev/v1/models/my-model/predict"
headers = {"Authorization": "Bearer YOUR_API_KEY"}
print(requests.post(endpoint, headers=headers, json={"prompt": "Hello AI"}).json())
AI Agents
- Define goal in plain language.
- Choose base model + allowed tools.
- Let the agent plan, execute, and adapt autonomously.
Marketplace & Ecosystem
- GPU Rentals: On-demand or reserved.
- AI App Store: Robotics, generative AI, data tools.
- Quantum Algorithms: Optimization, chemistry, cryptography.
- Data Integrations: S3, Azure Blob, Snowflake, Databricks, Hugging Face.
Enterprise Security
- Compliance Ready: HIPAA, GDPR, SOC 2, ISO 27001.
- RBAC, MFA, AES-256, private networks.
- Real-time cost & performance monitoring.
Scale & White-Label
- Multi-GPU clusters & distributed training.
- Edge networks for regulated workloads.
- Full brand customization for your AI cloud.
📅 First 60 Minutes on ShaSentra Labs — Playbook
Goal: Go from sign-up to your first production-ready AI API in 1 hour.
00:00–00:05
Sign Up & Configure Profile
00:05–00:15
Create Your First Deployment
00:15–00:25
Connect & Prepare Environment
00:25–00:40
Deploy a Model via Model Studio
00:40–00:55
Test Your API
00:55–01:00
Save as Template & Enable Autoscaling