AI Spend Is Scaling. Infrastructure Needs to Keep Up.

Organizations are rapidly expanding their AI initiatives, but many are encountering the same challenges:

• Cloud AI costs are becoming increasingly difficult to predict
• Queue times can slow development cycles and reduce team productivity
• Compliance and data sovereignty requirements may restrict cloud-based processing
• Building traditional AI infrastructure requires significant capital investment

The result is a growing need for enterprise AI infrastructure that delivers high-performance local compute, predictable costs, and full control over sensitive data.

Meet the HP ZGX Fury GB300

The HP ZGX Fury GB300 is designed to bring data center-class AI performance directly on-premises, enabling organizations to develop, fine-tune, and deploy AI models locally while maintaining security, compliance, and operational control.

Powered by the NVIDIA GB300 Grace Blackwell Ultra platform and equipped with 748GB of coherent memory, the HP ZGX Fury supports large-scale AI development and production inference without requiring a traditional data center environment.

Key Benefits

• Run trillion-parameter AI inference locally
• Enable secure AI development on sensitive datasets
• Reduce dependence on cloud infrastructure
• Deliver predictable AI infrastructure costs
• Support production deployment with deterministic latency
• Maintain control over data residency and governance requirements

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HP ZGX Fury GB300 Specifications

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Built for Enterprise AI at Scale

As AI inference moves closer to where data is created, organizations need infrastructure that can deliver performance without compromising privacy, compliance, or cost predictability.

The HP ZGX Fury GB300 enables teams to:

• Develop and validate models locally
• Fine-tune large language models using proprietary data
• Deploy production inference on the same system
• Eliminate unnecessary cloud handoffs
• Keep sensitive workloads within organizational boundaries

This approach reduces complexity while helping organizations accelerate their path from experimentation to production.

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What Sets HP Apart

HP ZGX Toolkit

Free and Open Source

The HP ZGX Toolkit provides a developer-first AI environment designed to simplify AI workflows while avoiding vendor lock-in.

Included Capabilities

• Device discovery
• Device pairing
• VS Code integration
• Quick-start templates
• Local model development
• Simplified deployment workflows
• Open-source AI tooling

Organizations can move from setup to development faster by leveraging a pre-configured AI environment instead of building and maintaining a custom stack from scratch.

Key Advantages

• Open-source foundation
• No vendor lock-in
• Faster onboarding
• Streamlined AI development workflows
• Simplified infrastructure management

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HP Z Runtime

Included at No Additional Cost

HP Z Runtime provides a turnkey inference environment designed for production AI workloads.

Capabilities include:

• Model deployment
• Endpoint creation
• Model serving
• Monitoring and management
• Integration with standard AI frameworks
• OpenAI-compatible API support

Developers can move from model development to production inference without introducing additional licensing complexity.

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No Licensing Trap

Many AI services introduce ongoing costs through token consumption, request-based pricing, and production licensing fees.

With HP ZGX Fury, organizations can run open-source models locally and avoid:

• Per-token billing
• Usage-based pricing escalation
• Cost surprises at scale
• Production licensing fees

This approach creates a more predictable total cost of ownership and empowers organizations to scale AI initiatives with greater confidence.

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Enterprise Support

Organizations also benefit from enterprise-grade support backed by HP's decades of experience serving commercial, government, healthcare, manufacturing, and research organizations.

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Developer-First AI Environment

The HP ZGX ecosystem is designed to help developers build, iterate, and deploy AI solutions quickly.

Features

• Pre-configured AI stack
• VS Code integration
• Local model execution
• Secure fine-tuning
• Infrastructure automation
• CLI-driven workflows
• Rapid prototyping capabilities

Benefits

• Faster time to productivity
• Reduced environment setup effort
• Fewer infrastructure dependencies
• Improved developer experience
• Local experimentation on proprietary data

Because models can run locally, organizations can develop AI solutions without exposing sensitive information to external services.

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High-Performance Local AI Execution

HP Z Runtime streamlines the journey from model acquisition to production deployment.

Workflow

1. Pull models
2. Start inference services
3. Create endpoints
4. Monitor and manage deployments

Designed For

• Large language models
• Multi-modal AI workloads
• Long-context processing
• Agentic AI applications
• Enterprise inference services

Organizations gain access to low-latency, high-throughput AI infrastructure capable of supporting concurrent workloads at scale.

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When HP ZGX Fury GB300 Is the Right Choice

The platform is ideal when:

✅ Data cannot leave your facility

✅ Compliance requirements are strict

✅ AI cloud costs are escalating

✅ Queue times are impacting productivity

✅ Deterministic latency is required

✅ Predictable CapEx is preferred over variable OpEx

✅ Data sovereignty is a priority

✅ Intellectual property protection is critical

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When Cloud AI Is Still the Right Choice

Cloud remains a strong option when:

✅ Elastic scalability is required

✅ Workloads are highly variable

✅ Compliance restrictions are minimal

✅ Access to frontier foundation models is required

✅ Projects remain in experimentation phases

For many organizations, the optimal strategy combines both cloud and on-premises AI infrastructure, allowing each environment to support the workloads it handles best.

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Industry Use Cases

Healthcare

AI Development

• Medical imaging model fine-tuning
• Clinical AI research
• Proprietary patient datasets

Production Inference

• Radiology assistance
• Clinical decision support
• Real-time imaging workflows

Why ZGX Fury?

• On-prem AI processing
• Data residency control
• Support for regulated environments

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Government & Defense

AI Development

• Intelligence model fine-tuning
• Secure AI experimentation
• Air-gapped deployment environments

Production Inference

• Analyst copilots
• Local inference
• Mission-critical AI applications

Why ZGX Fury?

• Sensitive data stays local
• Supports strict security requirements
• Designed for controlled environments

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Product Design & Manufacturing

AI Development

• Generative design models
• Engineering simulations
• Internal R&D datasets

Production Inference

• Real-time optimization
• Accelerated prototyping
• Design assistance workflows

Why ZGX Fury?

• Intellectual property protection
• Reduced cloud dependency
• Predictable operational costs

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Research Labs

AI Development

• Knowledge distillation
• Large model experimentation
• Multi-modal AI research

Production Inference

• Text and document analysis
• Image understanding workflows
• Long-context reasoning

Why ZGX Fury?

• 748GB coherent memory
• High-performance local execution
• Support for advanced research workloads