OpenStack-Powered
FishOS Cloud for AI & ML
BUILD, TRAIN AND SCALE AI/ML MODELS WITH FISHOS
Data scientists, researchers, and engineers need highly available, flexible cloud infrastructure to meet the heavy computational demands of modern AI and machine learning workloads — especially when running GPU clusters across thousands of nodes.
This is where FishOS excels. It delivers a production-grade private cloud purpose-built for performance, efficiency, and scale:
Automated management of bare-metal and GPU resources for maximum efficiency
Scalable multi-tenancy and customizable environments for diverse AI and ML projects
HPC optimized for large-scale model training and data processing
FishOS Advantages:
OpenStack-Based Cloud for AI & ML
FishOS builds on OpenStack’s proven foundation, adding AI-powered automation and enterprise-grade performance optimization — delivering a self-managing infrastructure that gives teams full control over performance, scalability, and costs. Here’s what makes it work so well:
Machine Learning Success Story:
The University of Tübingen
STABILITY & SCALABILITY FOR DIVERSE WORKLOADS
One of Germany’s leading research centers — the University of Tübingen — has been running its ML Cloud project on FishOS since 2023. The project includes the AI Centre and the ML Cluster of Excellence, supporting 48 research groups across medicine, agriculture, autonomous systems, climate science, and more.
With FishOS, Sardina Systems’ team enabled flexible deployment on CPU and GPU V100/A100 nodes, delivering a stable, high-availability infrastructure with minimal disruptions.
FishOS transformed its operations by:
Balancing virtualization
and bare-metal infrastructure with distributed Ceph storage
Streamlining network management
with automated IP assignment
Scaling infrastructure
for future GPU, Gaudi2, and FPGA workloads
Enabling multiple teams
to collaborate seamlessly on shared datasets
How FishOS Works for
High-Demand Computing
GPU & ACCELERATOR OPTIMIZATION
FishOS perfectly runs on heterogeneous hardware (CPU, GPU, FPGA, accelerators), supporting distributed training frameworks like PyTorch DDP, Ray, and Apache Spark.
DATA-INTENSIVE WORKLOAD SUPPORT
High-performance I/O and scalable Ceph storage provide fast, reliable access to massive datasets across data centers and edge sites.
AI/ML PIPELINES & AUTOMATION
Supports Kubernetes-native frameworks such as Kubeflow and TensorFlow. Equipped with automated health monitoring and self-healing.
BUILT-IN HIGH AVAILABILITY
HA infrastructure and automated task management ensure critical workloads run smoothly without interruptions.
SCALABILITY & COST CONTROL
Unlike proprietary solutions with separate fees for GPU scheduling and storage, FishOS offers a unified license with a pay-per-core model.
DATA SECURITY & COMPLIANCE
Multi-tenancy, RBAC, and workload isolation meet GDPR, ISO 27001, and other regulatory requirements.
Production-Ready Cloud,
Easy to Start and Scale
With FishOS, everything from deployment and monitoring to upgrades and daily operations is automated and optimized.
Sardina Systems offers a single, transparent licensing model that includes full support, no hidden fees, and built-in performance enhancements to maximize ROI.
Ready-to-deploy and fully managed, FishOS removes the typical hurdles of integrating OpenStack and Kubernetes, enabling teams to start fast and scale seamlessly as their workloads grow.
Ready to Launch
Your AI/ML Cloud?
Get in touch to discover how FishOS can scale your AI/ML workloads and deliver faster results.
