Looking for a turnkey private AI for your firm — not a rackmount GPU server? See OCZeus Private AI →

PRIVATE AI CLOUD

Bring the model to your data.

Not the other way around.

Public AI makes you ship your most valuable data to someone else's model, pay by the token, and hope your competitive edge doesn't turn up in their next release. OCZeus flips it: a machine you own, where frontier-grade AI runs beside your data, behind your walls, on weights you control. Nothing cached. Nothing transferred. Nothing rented.

WHY A PRIVATE AI CLOUD

Six reasons the organizations running critical infrastructure are done renting intelligence.

Own The Means Of Production

You don't rent a slice of someone's datacenter — you own the machine. Dedicated, single-tenant, bare metal. The compute, the models and the data are yours.

The Model Comes To Your Data

Models run next to your data, inside your perimeter. Prompts, embeddings and documents never leave. Encrypted at rest, with the keys only on your devices.

Don't Pay To Train Your Competitor

Every prompt to a public LLM is a free lesson for a system your rivals also use. Here, your proprietary knowledge compounds into your advantage — not the vendor's next model.

You Control The Weights

Run and fine-tune open-weight models you own. The weights live on your hardware — no one can deprecate, revoke or reprice them out from under you.

No Lock-In

Swap model to model without re-platforming. Run open weights, or connect a frontier model under your own policy. Completely model-agnostic.

Sovereign & Compliant By Design

AI stays inside your jurisdiction and compliance boundary. GDPR by design — data residency is guaranteed, because the residency is your building.

FIVE QUESTIONS YOUR AI VENDOR SHOULD BE ABLE TO ANSWER

Ask them of any AI provider. Then ask them of us.

	Public AI Cloud	OCZeus Private AI Cloud
Who owns the data?	The provider, effectively	You
Where is it cached?	Their datacenter, unknown regions	Your hardware, your building
Are the prompts secure?	Sent to a third party over the wire	Never leave your perimeter · AES-256
Is your IP being transferred?	Retention & training risk	No — your data never becomes their model
Who controls the weights?	The lab	You — the weights live on your box

Run these questions on your own hardware. Let's talk.

OC AI ENTERPRISE

Stop Renting GPU Time From the Cloud.

CHOOSE AI ENTERPRISE IF YOU:

Train AI models constantly - Stop paying by the hour for GPU compute
Run inference at scale - Production AI workloads that never stop
Need 10 GPUs worth of power - NVIDIA L40S Ada GPUs (480GB total GPU memory)
Work with massive datasets - 4TB RAM + 120TB storage for the biggest training sets
Can't wait in cloud queues - Your GPUs. Available immediately. Always.
Want your models private - Train on-premise. IP stays yours. No cloud scanning.

What You Get:

10x NVIDIA Ada L40S GPUs - 480GB total GPU memory. 48GB per GPU. Production AI acceleration.
Dual Intel Xeon processors - 64 cores, 128 threads. Feed those GPUs fast enough to keep them busy.
4TB RAM - Load entire datasets in memory. Preprocessing doesn't bottleneck training.
120TB NVME storage - Store years of training data. Access it faster than cloud ever could.
200Gbit networking - Multi-node training? Distributed inference? Network won't be the bottleneck.
Full encryption - Your training data, your models, your IP - all protected. Always.

Perfect For:

AI Research Labs – Experiment freely. No cloud bills limiting your research. Train as many models as needed.
Enterprise AI Teams – Production inference, continuous training, model deployment. Your infrastructure, your timeline.
Computer Vision – Image recognition, video analysis, autonomous systems. Process locally, not in someone's cloud.
NLP & LLMs – Fine-tune large language models on your data. Models stay private. No OpenAI seeing your training data.
Drug Discovery – Protein folding, molecular dynamics, compound screening. Sensitive research stays on-premise.
Financial ML – Fraud detection, risk modeling, algorithmic trading. Your models, your data, your edge.

Training AI models? Let's talk GPU ROI.

AI Powerhouse

Featuring up to 10 NVIDIA Ada L40S GPUs, each with 48GB of GDDR6 memory, the AI Series provides immense graphical processing capabilities necessary for AI research and deployment. These GPUs are critical for training deep learning models, performing large-scale inference, and accelerating data processing tasks. The powerful GPU configuration ensures efficient AI computations, reduces training times, and improves the performance of AI applications.

Memory Capacity

The AI Series offers up to 4TB of RAM, providing the capacity needed to handle memory-intensive AI applications. This extensive memory supports large in-memory datasets, enhances data processing speed, and ensures efficient operation of complex AI models. The significant RAM capacity is particularly beneficial for environments that require rapid data access and processing.

Processing Power

Equipped with 2x Intel Xeon processors, each with 32 cores and 64 threads, the AI Series delivers substantial computational power essential for sophisticated AI computations and high-performance tasks. This processing capability is ideal for running complex AI algorithms, managing heavy workloads, and performing intensive computations required in AI research and deployment.

Storage Capacity

With up to 120TB of NVME storage, the AI Series is equipped to handle the substantial data requirements of AI applications. This storage capacity supports large datasets needed for training and deploying AI models, ensuring that data can be accessed and processed efficiently.

Data Connectivity

The AI Series includes advanced data connectivity options to support high data transfer rates up to 200Gbit and efficient network performance. This capability is essential for applications requiring significant data exchange and seamless connectivity across multiple systems. The advanced connectivity facilitates smooth operations in enterprise and research environments, ensuring efficient data management and rapid data transfer.