As AI projects become more complex, many teams are running into the same problem: they need more compute power, more flexibility, and more control than their current setup can provide. The cloud is useful, but it comes with costs, delays, and limitations that can slow down even the best teams.

The HP ZGX Nano AI Station is a high-performance workstation built specifically for AI development, giving users the tools to train and test large models right at their desk.

Built Around the NVIDIA Grace Blackwell Superchip

At the core of the ZGX Nano is the NVIDIA GB10 Grace Blackwell Superchip. This powerful architecture supports up to 1000 TOPS of AI performance and 128GB of unified memory. It is designed to handle models with up to 200 billion parameters on a single system.

If you need even more compute, HP allows you to connect two ZGX Nano units. This effectively doubles your available performance without the need for a server room or complex IT infrastructure.

Faster Development Without External Bottlenecks

When your system lives in the cloud, every task depends on access to shared resources. You wait for GPUs to free up. You monitor costs closely. You upload and sync datasets to keep projects moving.

The ZGX Nano changes that by bringing AI compute in-house. Your work stays on your system. Your models run when you need them to. And your timelines are no longer tied to availability in a remote data center.

For teams working in regulated industries or handling confidential information, the ZGX Nano allows you to meet internal and external data compliance requirements without compromising on speed or flexibility.

A Software Environment That Keeps Projects on Track

Each ZGX Nano comes with AI Studio, HP’s development platform for managing resources, environments, and experiments. Whether you are running multiple tests, training several models, or working with a team, AI Studio helps keep everything in sync.

It is built to support containerized workflows and helps streamline version control, resource allocation, and performance monitoring. This makes it easier to stay productive and avoid setup overhead that often comes with managing AI tools.

Smart, Secure Storage for Large Datasets

The ZGX Nano includes up to 4TB of local NVMe storage with self-encryption. That is enough to support large datasets and training outputs while keeping them secure on your device.

For teams that manage a high volume of files, this helps reduce friction and supports a clean, reliable workflow. There is no need to rely on external drives or shift data across multiple systems.

Real-World Use Cases for a Compact System

The ZGX Nano is designed for practical deployment. It fits into offices, labs, and home workspaces without needing special cooling or infrastructure. Here are just a few ways teams are expected to use it:

• Research groups building custom AI models for medicine or science
• Product teams testing and refining AI features locally
• Developers creating tools that rely on high-throughput inference
• Organizations looking to reduce their dependence on cloud compute

Because it is compact and quiet, the ZGX Nano fits right into most environments. It gives you workstation power without the footprint of a larger system.

A Scalable Solution for Growing Teams

You can start with one unit and expand when you are ready. The ZGX Nano is modular, so it supports your growth without requiring you to reconfigure your entire stack.

This makes it ideal for startups, research groups, or mid-sized organizations that need serious performance now and want flexibility for later.

Launching Soon: Stay in the Loop

The ZGX Nano is expected to launch soon, and early interest is already strong. If you are considering an upgrade or planning a new AI project, now is a great time to explore what it can do.

Contact us if you want to be added to the launch list. We will make sure you are the first to hear when the ZGX Nano becomes available.

A Clear Step Forward for AI Workflows

The HP ZGX Nano AI Station gives developers and data scientists the freedom to build, test, and deploy on their own terms. It removes unnecessary delays, reduces reliance on shared resources, and offers a smarter way to handle demanding AI workloads.

If your team is ready for more control over its AI environment, the ZGX Nano is what you’ve been waiting for.