Which businesses can use FPT SMART CLOUD?
FPT SMART CLOUD is suitable for startups and businesses running production websites, APIs, databases and internal workloads.
FPT SMART CLOUD provides flexible cloud infrastructure for websites, APIs, databases and business workloads.
Flexible cloud infrastructure for websites, APIs, databases and business workloads.
Flexible cloud infrastructure for websites, APIs and business workloads.
GPU infrastructure for AI training, inference and high-performance workloads.
Managed database infrastructure for production applications that need reliable operations and recovery.
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| Package | Price | Billing period | Published specifications |
|---|---|---|---|
| Starter | 652.000 VND | /month | Published package option with the specifications listed below.
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| Standard | 1.234.000 VND | /month | Published package option with the specifications listed below.
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| Standard 2 | 2.818.000 VND | /month | Published package option with the specifications listed below.
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| Package | Price | Billing period | Published specifications |
|---|---|---|---|
| GPU A10/L4 | 10.924.000 VND | month | Published package option with the specifications listed below.
|
| GPU A30 | 14.449.000 VND | month | Published package option with the specifications listed below.
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| GPU 3 | Contact for price | /month | Published package option with the specifications listed below.
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| Package | Price | Billing period | Published specifications |
|---|---|---|---|
| Basic | Contact for price | /month | Published package option with the specifications listed below.
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FPT SMART CLOUD is suitable for startups and businesses running production websites, APIs, databases and internal workloads.
Yes. Start with the resources required today and scale according to observed workload demand.
Yes. Contact the team with your workload, traffic and operational requirements for a suitable starting point.
Yes. The public service groups can support staging and production workloads depending on capacity and operational requirements.
Depending on the service, scheduled backup, snapshots or separate storage can support recovery readiness.
Yes. Some packages are designed for priority support or 24/7 operations, especially for important production workloads.
Yes. Packages are organized by service group and billing period so technical and finance teams can estimate the starting scope more clearly.
Yes. For running systems, migration can be split by workload or service layer to reduce risk and keep the experience stable.
Start with the actual need such as a website, API, database, backup or data storage, then the team can map it to a suitable service group and configuration.
A managed database reduces infrastructure burden; it does not transfer all responsibility for data. This baseline turns RPO/RTO, backup, restore tests, and observability into repeatable evidence.
A load-balancer change can affect routing, TLS, sessions, health checks, and observability at once. A strong runbook turns an upgrade into a set of testable assumptions with a clear way back.
A persuasive AI demonstration is not yet a safe financial capability. Production requires data contracts, decision controls, explainability, and a recovery path when results are not as expected.
Good support does not start by adding a hotline or another form. It starts with shared context, correct impact classification, and a communication rhythm that tells customers what is happening.
Real-time logistics does not begin with a map dashboard. It begins with data that has clear meaning, survives unreliable connectivity, and supports an operating model that knows when people must intervene.
Agents can reduce repetitive work, but they do not replace accountability. A sound operating model defines authority, data boundaries, stop conditions, and evidence for every automated action.
Code-generation speed is useful only when teams still understand change provenance, the route to production, and runtime risk. This guide puts AI inside an accountable pipeline instead of treating it as a shortcut.
Multiple availability zones matter only when the service does not still share one configuration, identity, access path, or recovery process. This guide exposes the common dependencies teams miss.
A virtual desktop is more than a sign-in screen. This article builds an operating baseline from user journeys and release rings to incident recovery and access-data governance.
Prompt filters are a helpful layer, not a trust boundary. This article moves from identity and action brokering to rollback exercises so an AI agent does not become a production weakness.
Do not select infrastructure by a local or global label alone. This framework evaluates control, latency, life-cycle cost, and recovery paths for every workload.
Security posture management is not a collection of dashboards. It is a way to turn configuration signals into owned decisions, deadlines, and evidence of remediation.
An overview of NVIDIA A100 workloads, AI training and high-performance computing use cases.
A practical comparison of NVIDIA A10 and NVIDIA A30 for different GPU workload requirements.
A practical way to estimate RAM and CPU needs from website traffic and workload characteristics.
How point-in-time recovery improves data protection for MySQL and PostgreSQL workloads.
Share your workload, expected traffic and recovery requirements with the team.
Contact the team