Serverless AI &
high-speed storage

Per-second billing with vLLM, scale-to-zero GPU endpoints, high-speed NVMe block storage, and S3-compatible object storage.

How It Works

AI Infrastructure That Scales to Zero When Idle

Serverless GPU endpoints scale down to zero when there are no incoming requests. Pay strictly for actual compute seconds.

Scale-to-Zero GPU

When idle, GPU resources are automatically released. When a new request arrives, models reactivate with sub-second cold starts.

Per-Second Billing

Unlike traditional hourly instances, your GPU compute is metered down to the exact second. Pay only for what you run — ideal for testing and development.

Pre-Cached Model Network

Weights for popular foundation models like Llama 3.3, Mistral, and DeepSeek are pre-cached in our Istanbul datacenter for rapid model spin-up.

Storage

High-Speed Block & Object Storage

Redundant NVMe block storage delivering up to 100,000 IOPS that attaches instantly to your GPU servers, alongside S3-compatible object storage.

NVMe Block Storage

  • Max IOPS100,000 IOPS
  • Bandwidth2 GB/s Read / 1 GB/s Write
  • Capacity100 GB – 10 TB
  • AttachmentHot-Pluggable NVMe
  • RedundancyRAID-10 (Dual Mirroring)
  • Price$0.0001 / GB / hour
Add storage →

S3-Compatible Object Storage

  • API CompatibilityAmazon S3 API – 100% Compatible
  • Max Object Size5 TB / object
  • Storage ClassesStandard, Infrequent, Archive
  • Data Durability99.999999999% (11 9s)
  • EncryptionAES-256 Server-Side Encryption
  • Price$0.023 / GB / month
Create storage →
Use Cases

What Can You Build With Serverless AI & Storage?

Seamless, cost-efficient, and high-performance AI inference and storage solutions.

Development & Testing

Reduce GPU idle costs to zero in dev and staging environments with scale-to-zero. Pay strictly for active test requests.

Variable Workloads & Automation

Ideal for fluctuating daytime inference traffic. Automatically scale compute up during spikes and incur zero costs during idle lulls.

Backups & Dataset Archiving

Safely store model weights, training datasets, and telemetry logs with AES-256 encryption and enterprise replication.

FAQ

Frequently Asked Questions About Serverless AI

What is scale-to-zero and how does it work? ▼
Scale-to-zero automatically spins down your GPU worker instances when no requests are active. Upon a new request, the container and weights spin back up in milliseconds to serve the response.
What is the typical cold start latency? ▼
For pre-cached foundation models, cold start is sub-second (<1s). For custom fine-tuned weights, cold start takes between 5 to 30 seconds depending on the model footprint.
How do I attach NVMe block storage to a GPU instance? ▼
You can provision and attach NVMe block volumes via our web console or REST API in a single click, available to your compute instance within seconds.
What is the difference between FixCloud S3 and AWS S3? ▼
FixCloud S3 is 100% API-compatible with Amazon S3 and works out of the box with your existing SDKs and tools. The critical difference is that all data resides physically in Istanbul, guaranteeing 100% KVKK and data sovereignty compliance.
Can I pay in Turkish Lira (TRY)? ▼
Yes, all services are officially invoiced in either TRY or USD with full VAT compliance.

Get started with Serverless AI today

Per-second billing with vLLM, scale-to-zero GPU endpoints, and high-speed NVMe storage.

Open console → Talk to enterprise sales