Attach Storage on Demand
When Needed
Create a volume, attach it to a running instance, expand it later. No infrastructure rebuild, no migration window.
Persistent, low-latency block volumes you attach to any Host360 compute instance in minutes — and grow without rebuilding anything. Built on our Nutanix HCI platform, backed by a 99.99% uptime SLA.

STORAGE INFRASTRUCTURE
Block-level volumes on all-NVMe media, delivered from the same Nutanix HCI foundation that runs Host360 compute. Every volume is redundant, snapshot-capable and independent of the instance it's attached to.
NVMe Block Storage
Your data shouldn't depend on the lifecycle of a VM. Host360 block volumes are provisioned, billed and managed separately from compute — so you can resize an instance, rebuild it, or move the workload entirely, and the volume comes with it.
Create a volume, attach it to a running instance, expand it later. No infrastructure rebuild, no migration window.
Pay for the capacity you provision. Expand any volume at any time — you're never re-buying storage you already have.
| Feature | Development Workloads Starter Suitable for testing, development, and non-critical workloads. For Small Environments | Production Ready |
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ENTERPRISE MANAGED
The same block volumes attach to public cloud VMs, bare metal nodes over iSCSI, and Kubernetes clusters — managed from one console.
Most block storage looks identical on a spec sheet. The differences show up on day 200, not day one.
DPDP Act 2023 aligned, with the audit trail and access controls that RBI, SEBI and IRDAI-regulated customers already run on across our private cloud estate.
The same class of GPU compute, priced in INR. No forex exposure, no egress bill you didn't model for. One portal, one bill, one support team.
Volumes are served from the same Nutanix HCI foundation running your instances, over a 100G fabric. Or Completely from Host360 cloud.
Expand capacity in place. No re-provisioning, no dump-and-restore weekend, no change-request theatre.
Tell us what you're running — the database, the dataset size, the current pain — and a storage architect will map it to a volume configuration and a real monthly number. No obligation, no discovery-call gauntlet.
Attach storage to cloud resources
Manage storage separately from compute resources.
Scale storage as needs grow
Retain data beyond app lifecycles
| Mission Critical Enterprise Built for enterprise applications and large-scale environments. For Large Deployments |
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| Storage Capacity | Entry Level | Scalable | Large Scale |
| Volume Management | Basic | Advanced | Enterprise Ready |
| Storage Expansion | Available | Flexible | High Capacity |
| Compute Integration | Supported | Optimized | Enterprise Scale |
| Workload Support | Development | Production | Critical Applications |
| Management | Managed Control Plane | Managed Platform | Enterprise Operations |
| Storage Lifecycle | Managed | Simplified | Enterprise Managed |
DATABASE SYSTEMS
Support structured data storage for operational databases.
Volume-level point-in-time snapshots with near-instant rollback, plus scheduled and on-demand backups stored off-VM.
24×7 support staffed by people who can read an iostat output. Most storage questions get resolved in the first reply, not the fourth.
FREQUENTLY ASKED QUESTIONS
Common questions - NVMe block storage, storage management, & workload compatibility.
NVMe Block Storage is a persistent storage service that provides block-level access to data for applications, virtual machines, and cloud workloads.
Block storage is attached to compute resources as storage volumes, while object storage is designed for storing and accessing unstructured data through APIs.
NVMe Block Storage is commonly used for virtual machines, databases, enterprise applications, analytics platforms, and containerized workloads.
Yes. Storage capacity can be increased to support changing workload and data storage requirements.
Yes. Block storage volumes can be attached to supported cloud compute resources to provide persistent storage.
Yes. Block storage is commonly used to support database workloads that require persistent and reliable data storage.
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