GPU-Accelerated AIStack v3.0

Build, Train & Deploy AI
On Your Own Infrastructure

Servicing24 AIStack is a complete AI infrastructure platform designed to help organizations scale efficiently without the burden of expensive cloud GPU costs.

Explore AIStack Tiers
Up to 50% Cost Saving
Full Data Control
Core Design

Product Architecture
& Ecosystem

Our base stack leverages enterprise open-source and high-performance hardware to deliver a production-ready AI environment.

GPU Computing

NVIDIA / AMD GPU Servers

Orchestration

Kubernetes (K8s) Cluster

AI Frameworks

PyTorch & TensorFlow

High-Speed Storage

NVMe SSD + Object Storage

The AIStack Framework

Architecture Overview

Distributed Training

GPU-accelerated nodes

Containerized Workloads

Kubernetes orchestration

API Layer

Service deployment nodes

AIStack Lineup

From developer workstations to distributed enterprise clusters.

AIStack Lite

Single GPU Node

Target: Startups / Developers

  • Model training (small)
  • AI experiments
  • LLM fine-tuning (light)
  • Local AI processing

AIStack Pro

Multi-GPU Workstation

Target: AI Teams / Software Companies

  • Parallel processing
  • Faster training time
  • Computer vision / NLP
  • Multi-user access

AIStack Cluster

Distributed Infrastructure

Target: Enterprises / Research Labs

  • Horizontal scaling
  • Kubernetes Orchestration
  • High availability
  • LLM development

Inference Platform

Production AI Deployment

Target: Live AI Services

  • Low latency inference
  • AI APIs (Vision, NLP)
  • Auto scaling nodes
  • Production monitoring

AI Data Platform

Training Dataset Hub

Target: Data-driven Organizations

  • Data lake for AI
  • Object Storage / Ceph
  • Data lifecycle management
  • Secure access control
Positioning

Dedicated AI
Performance

Stop paying shared cloud premiums. AIStack provides dedicated raw power with full data governance on your terms.

Save 50%

vs Ongoing Cloud GPU Costs

FeatureCloud AIAIStack
Ongoing CostHighOne-time + Low
Data ControlLimitedFull (On-Prem)
GPU PerformanceShared/VirtualDedicated Bare-Metal
LatencyHigherLow (Local Network)
ScalabilityGoodCustom Hardware

Technical
Datasheet

Standard GPU Cluster Configuration

Compute

AMD EPYC / Intel Xeon (Dual)

GPU Node

NVIDIA RTX / A100 / H100

Fast Cache

High-speed NVMe SSD

Interconnect

10GbE / 25GbE Fabric

AI Lifecycle Management

Model Development

Integrated JupyterHub & VSCode Server.

MLOps Pipeline

Automated Kubeflow deployment.

Production API

Low-latency inference deployment.

Ready to Build Your
AI powerhouse?

Implementation, MLOps setup, and 24/7 technical support handled by Servicing24 Limited. Get dedicated AI power without the recurring cloud burden.

enterprise@servicing24.com
+880 9614 556655