Neysa Velocis Pricing Overview

GPU-as-a-Service

Reserved NVIDIA and AMD GPU compute, available as bare metal, virtual machines, or managed Kubernetes. Choose from L4 to B300, with committed pricing across 12, 24, and 36-month plans.

NVIDIA H200 SXM, H100 SXM, H100 NVL, L40S, L4, and AMD MI300X

Bare metal, Virtual Machine, and Managed Kubernetes deployment options

Object, Block, NFS, and Managed Weka storage

Up to 3200 Gbps internal networking on bare metal nodes

Kubernetes and Slurm orchestration

Real-time performance monitoring dashboard

VPC and private networking support

SOC 2 Type II and ISO 27001:2022 certified infrastructure

AI Platform-as-a-Service

Your full AI development stack, ready in minutes. One-click environments for Jupyter, PyTorch, Hugging Face, and vLLM, plus integrated MLOps with MLflow and Kubeflow.

One-click environments for Jupyter, PyTorch, TensorFlow, and Hugging Face

Granular RBAC with SSO, SAML, and LDAP integration

Integrated MLflow, Kubeflow Pipelines, model registries, and CI/CD for ML

AI Workspaces with pre-configured GPU, notebooks, and registry

Open-source model support including Llama, DeepSeek, Mistral, Qwen, and Gemma

Container, Git, and open-source framework compatibility

Bring-your-own-model and bring-your-own-Docker support

Enterprise / Private Cloud

Dedicated AI infrastructure for large-scale workloads, and regulated industries. Private clusters or hybrid deployment with SLA-backed support, sovereign data handling, and full compliance coverage across SOC 2 Type II, ISO 27001, and IRDAI.

Private AI clusters for large-scale training and fine-tuning

Hybrid and multi-cloud deployment across public, private, and VPC

Aegis LLM Shield with OWASP LLM Top 10 coverage, PII redaction, and prompt injection defense

Granular RBAC with SSO, and SAML

Full audit logs, governance-ready and exportable

Custom SLAs with 24x7 support coverage

Dedicated AI infrastructure engineers for tuning and scaling

Technical Account Manager and MLOps workflow setup

Multi-team governance and cost optimization controls

ISO 27001:2022, SOC 2 Type II, IRDAI, GDPR, and DPDP compliance

Managed Weka storage for extreme storage performance

Neysa Velocis pricing is designed for AI teams who need predictable costs at production scale.

- GPU-as-a-Service is billed per GPU-hour with committed pricing (12–36 months).
- AI Platform-as-a-Service is available by workspace.
- Enterprise clusters, private cloud, and hybrid deployments are custom-quoted with SLA-backed support.

Every tier is designed to right-size your total cost of ownership as you scale.

Every tier is built to right-size your total cost of ownership. Customers typically see 40–60% lower GPU cloud spend versus general-purpose clouds while running on sovereign Indian infrastructure (ISO 27001:2022, SOC 2 Type II, IRDAI certified).

Neysa Velocis has 3 pricing editions. Look at different pricing editions below and see what edition and features meet your budget and needs.

Pricing information for Neysa Velocis is supplied by the software provider or retrieved from publicly accessible pricing materials. Final cost negotiations to purchase Neysa Velocis must be conducted with the seller.

Pricing in USD. Commit plans from 12 to 36 months. Contact sales for enterprise, private cluster, and hybrid deployment pricing.

Pricing information was last updated on May 04, 2026