Hardware

Hardware Core

AI on-premise. On your terms.

Core runs on purpose-built, on-premise hardware, giving you private, high-performance AI with zero data leaving your environment.

Core hardware

Built on Apple Mac Studio with M4 Ultra, this system delivers enterprise-grade AI inference with the memory bandwidth required for large models.

M4
Ultra

Chip

195 GB

Unified Memory

800
GB/s

Memory Bandwidth

80
core

GPU

64
core

Neural Engine

8TB
SSD
configurable

Storage

10Gb
Ethernet

Network

100%
on-premise

Data Residency

NMBLR Runtime
on MLX

AI Framework

Open-weight
+ NMBLR-optimized

Model Support

All model inference runs locally. No cloud dependency, no external APIs, no data exposure.

Why on-premise AI matters

Owning your inference layer changes the economics and risk profile of AI.

Total data sovereignty

Your data never leaves your network. No third-party access, no compliance ambiguity.

Zero-latency performance

Inference runs at memory speed, eliminating delays from external API calls.

Predictable cost

No per-token pricing or usage-based billing. One infrastructure investment that scales with you.

Model flexibility

Use open models, fine-tuned variants, or optimized runtimes without vendor lock-in.

Managed deployment

NMBLR installs, configures, and maintains the full stack, reducing operational overhead.

What’s included

Owning your inference layer changes the economics and risk profile of AI.

Hardware procurement and configuration

Full NMBLR software stack deployment

Model selection and optimization

Network integration and security setup

Ongoing monitoring and updates

Integration with all NMBLR products

Ready to own your AI infrastructure?

Talk to the NMBLR hardware team for a configuration matched to your workloads and scale requirements.