FornaX Cloud builds and reliably operates the compute, platform, and data infrastructure your AI workloads need — faster. GPU, Kubernetes, OpenStack Private Cloud, and Enterprise Ceph Storage are unified into a single environment.
See what sets FornaX Cloud apart ↓Everything your AI workloads need
FornaX Cloud unifies not just GPU but compute, Kubernetes, networking, storage, backup, and operations — separate infrastructure elements combined into one platform to reduce build/manage complexity and operational burden.
Before
GPU, VMs, and Kubernetes run in isolation — you have to check resource status and workload health in separate tools.
After
Unified AI infrastructure operations — manage GPU, Bare Metal, VM, and Kubernetes workloads on a single platform.
Before
AI data keeps growing fast — training datasets, models, checkpoints, and logs accumulate continuously.
After
Scalable Enterprise Storage — a Ceph-based scale-out architecture that flexibly expands capacity and performance as your data grows.
Before
Expensive licenses, vendor lock-in — commercial infrastructure licensing and maintenance costs pile up over time.
After
Open-source-based unified architecture — standard x86 hardware and proven open-source technology lower cost and lock-in.
Build a single, unified AI infrastructure system — instead of separately combining GPU management, cloud platform, and storage and data protection.
We design everything your AI services need for stable operation into a single architecture. FornaX Cloud provides the core building blocks of AI infrastructure as one integrated platform.
From a single GPU server to a multi-cluster environment — start on the same platform and scale as far as you need.
Built for GPU Infrastructure
No matter your cloud server scale,
FornaX Cloud unifies GPU resources across Bare Metal, VM, and Kubernetes environments on a single platform.
See the allocation status of physical GPUs and split resources at a glance, and quickly reassign idle capacity.
Isolate GPU resources by team or project while managing them centrally.
Schedule GPU workloads by Pod and Job, and check operational status in real time.
Get the same private cloud environment that runs Bare Metal and VMs together, out of the box.
Monitor GPU, server, and storage metrics together on a single dashboard.
Start with a single GPU server, scale to hundreds — on the same platform.
Data Protection · Protect What Matters Most
Training data, models, checkpoints, and inference results are core AI assets that keep accumulating. FornaX Cloud manages and protects the entire data lifecycle — storage, backup, long-term retention, and disaster recovery — on a single platform.
Reliably store and protect training datasets, model checkpoints, and inference data.
Manage full-platform backups and long-term retention efficiently on a single platform.
Site-to-site replication and automatic recovery keep your data safe through outages and disasters.
PB scale
Reliably store and flexibly scale massive amounts of data — training data, model files, checkpoints, and backups alike.
Why Ceph
Why Pay More for Backup Storage?
AI data needs high reliability and scalability, but that doesn't have to mean expensive dedicated storage. FornaX Cloud delivers enterprise-grade availability and flexible scalability through efficient Ceph-based distributed storage operations.
Save up to
60%
Cost savings per TB · vs. equivalent commercial storage
S3, RBD, and CephFS — all provided from a single unified cluster.
Expand capacity with zero service downtime, just by adding nodes.
Automatic recovery on failure keeps your data available.
Cut costs by up to 60% per TB compared to equivalent commercial storage.
Instant integration
Connect GPU servers and storage instantly
Attach RBD volumes directly to GPU servers to quickly provision the storage your AI workloads need — no extra drivers or complex manual setup required, ready to use right away.
Why Fornax Cloud
FornaX Cloud's storage is designed around integration with GPU workloads, Kubernetes, and AI pipelines. See how it differs from general-purpose storage.
| Comparison | General-Purpose Storage | Fornax Cloud |
|---|---|---|
| GPU direct-attach (RBD) | Requires separate setup — extra drivers + complex configuration | Built in — direct RBD volume attach, instant integration |
| AI workload optimization | General-purpose design — mixed HDD/SSD setup | AI-workload-optimized storage — performance tuned for high-throughput, low-latency environments |
| Multi-protocol integration | Separate solution per protocol — extra purchase and integration cost | Unified in a single cluster — S3 + NFS + RBD + CephFS |
| AI pipeline integration | Requires custom development — vendor-specific APIs | S3 API compatible, instant integration — connects straight into MLOps pipelines |
| Zero-downtime scale-out | Model swap or downtime — service interruption on expansion | Live expansion by adding nodes — linear scaling with zero downtime |
| Vendor lock-in | Strong — proprietary H/W + bundled SW package | None — free choice of standard x86 servers |
| Cost per TB | Expensive licenses — separate annual maintenance contract required | Up to 60% savings vs. equivalent — open-source based, hardware cost only-60% |
| Technical support | Global ticket system — days to weeks of wait | FornaX engineers respond directly — dedicated local support, fast turnaround |
General-Purpose Storage
Requires separate setup — extra drivers + complex configuration
Fornax Cloud
Built in — direct RBD volume attach, instant integration
General-Purpose Storage
General-purpose design — mixed HDD/SSD setup
Fornax Cloud
AI-workload-optimized storage — performance tuned for high-throughput, low-latency environments
General-Purpose Storage
Separate solution per protocol — extra purchase and integration cost
Fornax Cloud
Unified in a single cluster — S3 + NFS + RBD + CephFS
General-Purpose Storage
Requires custom development — vendor-specific APIs
Fornax Cloud
S3 API compatible, instant integration — connects straight into MLOps pipelines
General-Purpose Storage
Model swap or downtime — service interruption on expansion
Fornax Cloud
Live expansion by adding nodes — linear scaling with zero downtime
General-Purpose Storage
Strong — proprietary H/W + bundled SW package
Fornax Cloud
None — free choice of standard x86 servers
General-Purpose Storage
Expensive licenses — separate annual maintenance contract required
Fornax Cloud
Up to 60% savings vs. equivalent — open-source based, hardware cost only-60%
General-Purpose Storage
Global ticket system — days to weeks of wait
Fornax Cloud
FornaX engineers respond directly — dedicated local support, fast turnaround
From GPU resources to Bare Metal, VM, and Kubernetes workloads, to Ceph storage — manage the core resources your AI infrastructure operations need on a single platform.
Resource Visibility
Collect GPU model, spec, and allocation status per server, and separate physical vs. split-resource usage to quickly see capacity and idle resources.
Manage registration, health checks, resource allocation, and operational status of physical servers for high-performance AI workloads.
Create virtual machines on OpenStack and manage images, flavors, networking, and volume connections all in one place.
Operational Insights
Explore and compare key performance metrics — GPU utilization, memory, temperature, power — and analyze allocated vs. free GPU capacity to optimize workload placement.
Connect Pod, Job, and application status with GPU usage to see how your workloads are actually running.
Monitor Ceph cluster capacity, pool status, availability, and performance to keep storage operations stable.
AI infrastructure is harder to operate and scale than to build. FornaX engineers directly support GPU resource design, Kubernetes/OpenStack configuration, Ceph storage, and backup and scaling optimization.
We help you build your OpenStack and Ceph-based storage environment and reliably integrate it with your GPU servers.
From capacity management to backup configuration, incident response, and recovery — we provide the technical support your storage operations need.
We work with you across model serving, pipeline integration, and infrastructure scaling to review your entire AI workload operation.
Industry Use Cases
FornaX Cloud flexibly combines GPU, cloud platform, storage, and operating environment to match the different needs of research, media, and finance & security.
Focus on AI — FornaX takes care of the infrastructure
From GPU deployment to Kubernetes/OpenStack operations, data protection, and scaling — FornaX Cloud delivers the core infrastructure your AI workloads need as a single platform.
Preserve model checkpoints and original training data without loss.
Retain inference results and logs generated during operation without gaps.
Manage backup and long-term retention together in a single repository.
Run a personal AI agent on infrastructure built with Fornax Cloud, and watch everything 24/7 with AIOps.
FornaX
AIOps
AI continuously watches your infrastructure, catches anomalies early, and responds on its own through predefined procedures. Issues get handled before a person even notices, cutting down on repetitive work for your ops team.
FornaX
RDS AI
Connect to a Mac Studio–based AI workspace over standard RDP from Windows, Android, iPhone, or iPad — any device. Company documents and source code never leave the device; everyday tasks run on local AI, and only complex work switches automatically to cloud AI.
