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Cloud solutions by use case

Reference architectures for the workloads teams actually move to us — SaaS platforms, virtual desktops, backup and disaster recovery, AI and GPU compute, Kubernetes and e-commerce. Same rate in every region, unlimited bandwidth, EU data residency where you need it.

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SaaS & application hosting

Host a SaaS product in the EU without paying a residency premium

Multi-tenant applications need predictable unit economics: a cost per tenant you can put in a pricing model and defend a year later. Metered egress and per-region price differences break that.

Run application and database tiers on Cloud Compute inside a VPC, put a load balancer in front with TLS terminated at the edge, and keep state on block storage volumes that can be grown while attached. Because bandwidth is unmetered and every region bills at the same rate, adding an EU or US region for a customer segment changes the architecture, not the cost model.

Cloud Compute Estimate cost
Reference stack
Cloud Compute — application and database instances Load Balancers — TLS termination and health checks Virtual Private Cloud — private tiers, no public database Block Storage — durable volumes, grown live
What this solves
  • A cost per tenant that does not move when traffic does.
  • EU-only deployment for customers who ask where their data sits.
  • Room to scale vertically first, then horizontally, without re-platforming.
Virtual desktops & remote work

Virtual desktops and hosted applications for distributed teams

Desktops in the cloud remove the laptop as the security boundary: data stays in the data centre, and a lost device is an inconvenience rather than an incident.

Size instances per concurrency profile — task workers, knowledge workers, engineering — and place them in the region closest to the users. Windows Server licensing is billed per instance and shown before deployment, cloud firewalls restrict access to your ranges or VPN, and volumes hold user profiles independently of the desktop instance.

Cloud Compute Estimate cost
Reference stack
Cloud Compute — desktop and session hosts Cloud Firewalls — access limited to known networks Block Storage — user profiles and shared data Veeam Backup — protection for profile and file data
What this solves
  • Contractors and new starters productive on day one, on any device.
  • No corporate data at rest on endpoints.
  • Per-user cost that is visible before you commit.
Backup & disaster recovery

An off-site copy that is genuinely off-site — and restorable

Ransomware planning has made the second copy a board-level question. The test is not whether backups run, but whether a restore has been proven and how long it takes.

Veeam Backup and DRaaS is delivered as a managed service: schedules, retention and replication into a second region, with recovery objectives set per policy. Object storage is S3-compatible, so existing backup software can target it by changing the endpoint and credentials. Egress is not metered, which matters most on the day you restore everything at once.

Veeam Backup & DRaaS Estimate cost
Reference stack
Veeam Backup & DRaaS — managed backup, replication, recovery Object Storage — S3-compatible backup target Cloud Compute — recovery site instances Virtual Private Cloud — isolated recovery network
What this solves
  • A second copy in a different region, under a different set of credentials.
  • Restore costs nothing extra — no egress charge on recovery.
  • Documented RPO and RTO you can hand to an auditor.
AI, ML & GPU compute

Dedicated GPU capacity for training, inference and rendering

Shared GPU time is fine for experiments and unworkable for deadlines. Dedicated capacity gives you the whole card and a predictable schedule.

GPU capacity is quoted against the shape of the workload rather than listed, because a training run and a latency-sensitive inference endpoint need different machines. Pair it with object storage for datasets and checkpoints, block storage for working sets, and a private network so nothing sensitive traverses the public internet.

GPUs Estimate cost
Reference stack
GPUs — dedicated accelerators, quoted per workload Object Storage — datasets, checkpoints, artefacts Block Storage — fast working sets during training Kubernetes — scheduling inference across nodes
What this solves
  • Capacity that is yours for the duration, not time-sliced.
  • Training data that never leaves your chosen region.
  • No egress bill when you pull model artefacts out.
Container platforms

A managed Kubernetes platform your team does not have to babysit

Most teams want the scheduler, not the job of running the control plane. Upgrades, etcd and high availability are undifferentiated work.

Antyxsoft runs the control plane, including upgrades and HA, while you manage workloads and node pools. Pools autoscale between the minimum and maximum you set, clusters attach to a VPC so services stay on isolated networks, and firewalls control ingress centrally rather than per node.

Kubernetes Estimate cost
Reference stack
Kubernetes — managed control plane and node pools Virtual Private Cloud — isolated cluster networking Load Balancers — ingress across nodes and regions Block Storage — persistent volumes for stateful sets
What this solves
  • Platform engineers back on product work instead of upgrades.
  • Autoscaling that adds nodes on unschedulable pods and removes idle ones.
  • Cluster cost that tracks node count, with no traffic surcharge.
E-commerce & content

Storefronts that survive campaign traffic

Retail load is spiky by definition. The requirement is headroom on the day of the campaign and a bill that returns to normal the week after.

Deploy the storefront from the marketplace in one click, scale the web tier behind a load balancer, keep the database private inside a VPC, and serve media from object storage. Bandwidth spikes are free, so a successful campaign shows up in revenue rather than in the infrastructure invoice.

Browse the marketplace Estimate cost
Reference stack
Marketplace — one-click storefront and CMS images Load Balancers — traffic distribution and failover Object Storage — product imagery and media Cloud Firewalls — centrally applied ingress rules
What this solves
  • Campaign peaks absorbed without a bandwidth bill.
  • Checkout and database kept off the public internet.
  • A storefront live in minutes rather than a provisioning ticket.

The same four reasons, whatever the workload

Teams migrate for cost predictability and data residency, and stay because the platform behaves the same in every region.

One rate, every region

Greece, Spain and the USA are billed identically, so residency is an architecture decision rather than a budget one.

Unlimited bandwidth

Egress is not metered. Data-heavy workloads — backup, media, analytics — do not carry a surprise line on the invoice.

EU data residency

Pick the region per resource and keep regulated data inside the EU, with a DPA and SCCs available for procurement.

People who answer

Support is staffed by engineers, and partners get a dedicated team. Migration planning is part of onboarding, not a paid extra.

Questions buyers ask before they move

Which cloud is best for hosting a SaaS product in the EU?

One with EU regions, predictable pricing and unmetered egress. Antyxsoft runs regions in Greece and Spain at the same rate as the USA, so a SaaS product can keep customer data inside the EU without paying a residency premium or metered bandwidth charges.

How much does it cost to run virtual desktops in the cloud?

Cost is driven by concurrent users, vCPU and RAM per desktop, and Windows licensing. Compute and storage are billed at list rate with unlimited bandwidth, and Windows Server licences are billed per instance — so a VDI estimate is the sum of instance plans plus licences, with no traffic variable.

Can I use Antyxsoft as a backup and disaster recovery target?

Yes. Veeam Backup and DRaaS is offered as a managed service, with replication into a second region and recovery objectives set per policy. Object storage is S3-compatible, so existing backup tooling can also target it with a change of endpoint and credentials.

Do you offer GPUs for AI training and inference?

Dedicated GPU capacity is quoted against the shape of the workload rather than listed, because training and inference need different machines. Capacity is dedicated rather than shared.

Is egress charged on any of these workloads?

No. Bandwidth is unlimited and egress is not metered on any Antyxsoft service, so the monthly estimate is the invoice — including on the day you restore a full backup.

All FAQs →

Tell us the workload, get an architecture

Send the shape of what you run today — instances, storage, users, regions — and we come back with a sizing, a monthly figure and a migration sequence.

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