Brutech · Workstations

Brutech | Einstein

Einstein Class
R 599,999.00
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// Item Lore

We built the Einstein for the professional whose workloads are defined by one constraint above all others; memory.

Named after Albert Einstein the physicist who didn't push boundaries, he rewrote them the Einstein is the most memory-capable workstation Brutech builds. The NVIDIA RTX 5000 Blackwell 72GB carries the largest GPU memory capacity of any system in the entire Brutech range 72GB of ECC-protected VRAM for AI workloads, LLM inference, and production pipelines that exhaust every other professional GPU available. Paired with AMD's Threadripper 9980X 64 cores, 128 threads of Zen 5 and 256GB of DDR5 system memory. 4TB NVMe primary storage, 60TB additional storage, 1600W platform, 
and POP!_OS Linux pre-installed. When memory is the bottleneck this is the answer. Backed by our 5-year warranty. Hand-assembled by us in Secunda. Zero bloatware.

Research Loadout Einstein Class
Graphics NVIDIA RTX PRO 5000 Blackwell
Processor AMD Ryzen Threadripper 9980X
Motherboard ASUS Pro WS TRX50-SAGE WIFI
Memory 256GB 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 | Einstein
R 599,999.00
// Lab stress-tested
Compute Readiness
Stress-tested across demanding compute pipelines
Einstein Class
AI LLM 30B EXTREME
PERFORMANCE70 tokens/s
NOTESGPU Inference (72GB VRAM)
Blender BMW HIGH
PERFORMANCE22s
NOTESGPU Render
Data Science EXTREME
PERFORMANCENear-Instant
NOTES256GB DDR5 RAM
Premiere 4K Export HIGH
PERFORMANCE1m 18s
NOTESH.265 Output
Cinebench R24 nT EXTREME
PERFORMANCE14,200 pts
NOTES64-Core Score
Virtual Machines EXTREME
PERFORMANCE96x Concurrent
NOTESFull Isolation
ML Model Training EXTREME
PERFORMANCE24 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).