Brutech · Workstations

Brutech | Darwin

Darwin Class
R 249,999.00
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// Item Lore

We built the Darwin for the professional who has outgrown everything a consumer workstation can offer.

Named after Charles Darwin the scientist who redefined our understanding of complexity the Darwin is built on AMD's professional Threadripper platform. The Ryzen Threadripper 9960X brings 24 cores and 48 threads of Zen 5 architecture to workloads that would overwhelm any consumer processor machine learning, scientific simulation, large-scale rendering, CUDA development, and multi-threaded production pipelines that demand every core at full sustained load. Paired with an NVIDIA GeForce RTX 5070 Ti, 128GB DDR5, 4TB NVMe primary storage, and 60TB of additional storage capacity on a 1600W platform. Ships with POP!_OS Linux pre-installed the professional's choice for CUDA workloads, ML frameworks, and scientific computing.

Backed by our 5-year warranty. Hand-assembled by us 
in Secunda. Zero bloatware.

Research Loadout Darwin Class
Graphics NVIDIA GeForce RTX 5070 Ti
Processor AMD Ryzen Threadripper 9960X
Motherboard ASUS Pro WS TRX50-SAGE WIFI
Memory 128GB DDR5
Storage 4TB NVMe60TB HDD
Cooling Arctic Freezer 4U-M Rev. 2
Power 1600W Gigabyte 80+Gold Modular PSU
Case Fractal Design Meshify 3 XL
OS POP_OS! Linux
Warranty 5-Year Limited Warranty
Origin Hand Assembled in Secunda
🛡️ 5-Year Warranty 📦 Ships Nationwide⚡ Built in Secunda 💬 Real PC Builder Support
1
🔬 Deploy to your research rig
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// Accepted
Brutech | Darwin
R 249,999.00
// Lab stress-tested
Compute Readiness
Stress-tested across demanding compute pipelines
Darwin Class
AI LLM 30B MODERATE
PERFORMANCE22 tokens/s
NOTESCPU Inference (16GB VRAM)
Blender BMW STRONG
PERFORMANCE31s
NOTESGPU Render
Data Science STRONG
PERFORMANCEVery Fast
NOTES8-Ch DDR5 128GB
Premiere 4K Export STRONG
PERFORMANCE1m 55s
NOTESH.265 Output
Cinebench R24 nT STRONG
PERFORMANCE5,600 pts
NOTES24-Core Score
Virtual Machines STRONG
PERFORMANCE16x Concurrent
NOTESFull Isolation
ML Model Training MODERATE
PERFORMANCE7.5 img/s
NOTESPyTorch GPU
// Darwin and Edison use CPU inference for 30B LLM (16GB VRAM insufficient for Q8 quantisation). Newton through Einstein use full GPU inference. Cinebench nT scores reflect actual core counts: 24C (Darwin/Edison), 32C (Newton), 64C (Hawking/Einstein).