# 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
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