Accelerated sovereign AI cloud and MLOps platform for global enterprises.
Single-tenant dedicated server with 8x L40S GPUs
Elite dedicated server with 8x H100 SXM GPUs
Ultra-performance dedicated server with 8x H200 SXM
Managed Kubernetes master node for standard setups
High Availability Kubernetes cluster management
Quick Summary (TLDR): Neysa is a vertically integrated Sovereign AI Acceleration Cloud and Platform-as-a-Service (PaaS) designed for managed enterprise MLOps. Recorded results show it contributes to a 40–60% reduction in total cost of ownership (TCO) compared to non-specialized hyperscale cloud providers (reported).
Provides ready-to-use GPU clusters and prepares fully managed MLOps pipelines to accelerate the transition from raw data to production-grade endpoints. This investment increases outbound throughput by delegating infrastructure orchestration and security governance to the Neysa Velocis and Neysa Aegis systems. Recorded results indicate that organizations in the BFSI and healthcare sectors achieve a state of readiness for sovereign AI deployment in weeks rather than months (reported).
Pro-tip from the field: Use the Neysa Velocis catalog to deploy GPT-OSS models (OpenAI's open-weights models). This allows you to host state-of-the-art reasoning capabilities entirely within local (Data Hosting), ensuring you retain full control over your IP while maintaining high inference performance.
Input: Raw datasets, fine-tuning configurations, and open-source model weights (e.g., Llama 3, Mistral, GPT-OSS).
Processing: Secure processing on sovereign NVIDIA Hopper (H100/H200) and AMD (MI300X) hardware with integrated MLOps for training and monitoring; human review is required for model registry governance.
Output: Managed inference endpoints, real-time performance metrics, and compliance audit logs via Neysa Overwatch.
Attribute | Technical Specification |
Integrations | PyTorch; Hugging Face; MLflow; Jupyter; Kubernetes |
API | yes |
SSO | yes (RBAC & Identity Federation) |
Data Hosting | India (Mumbai & Regional clusters) |
Output | REST APIs; Docker Images; Model Checkpoints |
Integration maturity | Native (no other tools needed) |
Verified | yes |
Last tested | 2026-01-06 |
Sovereign Client Acquisition Bot
Title: Sovereign Client Acquisition Bot
Description: Deploys a private, fine-tuned LLM optimized for identifying target accounts and generating secure outreach without data exfiltration.
Connectors: Neysa Velocis → Custom Dataset → Managed Endpoint (3)
Time to setup: 45 minutes (calculated via RSE)
Expected output: A secure API providing ready-to-use outreach drafts and lead qualification scores.
Mapping snippet:
JSON
{
"model_source": "GPT-OSS-20B",
"compute_target": "H100_Fractional_40GB",
"residency": "Mumbai_Region",
"action": "Deploy_Inference_Endpoint"
}
Managed Compliance Monitoring
Title: Managed Compliance Monitoring
Description: Automatically extracts model behavior logs to ensure all interactions follow regional data sovereignty rules.
Connectors: Neysa Aegis → Monitoring Agent → Audit Dashboard (2)
Time to setup: 30 minutes (calculated via RSE)
Expected output: Real-time compliance alerts and a state of readiness for regulatory audits.
Mapping snippet:
Plaintext
Instruction: "Scan all inference logs for PII or cross-border data transfer violations."
Action: Block_Request_If_Violation_Found
Result: Generate_Compliance_Report_Weekly
Limitations: Physical GPU availability for high-demand nodes (e.g., H200) may occasionally require advance reservation during peak training cycles.
Ease of Adoption: Requires specialized knowledge in MLOps and cloud engineering; estimate 4 days for full enterprise pipeline configuration (calculated with 50% safety margin).
Known artifacts: Noticeable latency increase if running extremely large models (100B+) on "Fractional" GPU instances rather than dedicated SXM nodes.
Pro-tip from the field: Configure the Neysa micro-billing alerts to trigger at 80% of your allocated experiment budget. This contributes to reducing financial risk by identifying target accounts or workloads that are consuming resources faster than predicted.
The Ideal User: Large enterprises in regulated industries (Banking, Insurance, Government) that need to scale identifying target accounts and processing sensitive data while maintaining strict local (Data Hosting) protocols.
When to Skip: If your organization lacks a dedicated data science or DevOps team, or if your AI projects do not require regional data residency or sovereign infrastructure.
Neysa contributes to stable operational growth by providing a secure, high-performance foundation for local AI development. Implementing its sovereign cloud services helps maintain a state of readiness for evolving data regulations, ensuring long-term efficiency for organizations that prioritize data security and predictable ROI.
No reviews yet. Be the first to review this tool!
Explore alternatives and similar solutions in the same category.