Page cover

serverAxonDAO & 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

Last updated