AxonDAO & GPU Hardware

TECHNICAL SNAPSHOT

AxonDAO HGX B200 Node

• 8× NVIDIA B200 Blackwell GPUs (180GB HBM3e each)

• ~1.44TB total GPU memory

• 400Gb NDR interconnect

• Blackwell dual-die architecture

• FP4 / FP6 / FP8 precision support

• Designed for large-scale training and simulation

AxonDAO RTX Pro 6000 Blackwell

• 96GB GDDR7 per GPU

• Optimized for inference, multimodal AI, and visualization

• Same Blackwell architecture as datacenter B200

• Available for flexible, single-GPU workloads

LEFT-RIGHT BRAINED BLACKWELL COMPUTE

AxonDAO operates ~4.5 TB of system RAM and ~2.2 TB of Blackwell GPU memory in a single co-located compute fabric.

AxonDAO’s infrastructure is designed so HGX B200 and RTX Pro 6000 Blackwell GPUs are physically co-located and network-adjacent, operating within the same low-latency compute fabric.

Because these systems sit physically next to each other—with high-bandwidth networking and shared orchestration—they function as a single, unified left-right compute brain, rather than isolated GPUs rented across distant cloud racks, or ethernet.

How the “Unified Brain” Works

• B200 Blackwell GPUs specialize in:

• Large-scale numerical computation

• Model training

• Mathematical optimization

• High-precision scientific simulation

• RTX Pro 6000 Blackwell GPUs specialize in:

• Geometry, vision, and spatial reasoning

• Multimodal inference (image, video, structure)

• Real-time model interaction

• Shape, pattern, and representation generation