HydraCore Proxima-M – Dual RTX 4080 Super AI Workstation with Threadripper PRO 7960WX
Introducing the HydraCore Proxima-M, a deep learning workstation designed to strike the perfect balance between performance and cost-efficiency. Powered by AMD’s Threadripper PRO 7960WX and dual NVIDIA RTX 4080 Super GPUs, this system delivers serious AI acceleration while staying compact, cool, and scalable. Ideal for AI developers, startups, and researchers looking for high-throughput computing without the ultra-premium price tag.
Specifications
Processor (CPU): AMD Ryzen™ Threadripper™ PRO 7960WX (24 cores / 48 threads, up to 5.3GHz)
Graphics (GPU): Dual NVIDIA RTX 4080 Super (32GB GDDR6X total – Ada Lovelace Architecture)
Memory (RAM): 128GB DDR5 ECC Registered RAM
Storage: 4TB PCIe Gen4 NVMe SSD
Motherboard: WRX90 Workstation-Class Board – Multi-GPU Compatible
Cooling: 360mm Liquid Cooling System (Efficient & Quiet)
Power Supply: 1200W Platinum Fully Modular PSU
Case: Compact Full Tower Case with Enhanced GPU Airflow
Warranty: 3-Year HydraCluster Limited Warranty (Parts & Labor)
Performance and Stability
The HydraCore Proxima-M is built to handle advanced AI workflows including model training, inference, and preprocessing tasks. The 24-core Threadripper PRO 7960WX delivers strong multi-threaded performance for data orchestration and simulation, while the dual RTX 4080 Super GPUs provide solid CUDA and Tensor Core acceleration for deep learning frameworks like TensorFlow and PyTorch. 128GB of ECC memory ensures reliability during long training sessions, and the 4TB Gen4 SSD supports rapid data throughput with zero lag.
Key Features
Efficient Multithreaded CPU: 24-core Threadripper optimized for AI orchestration and preprocessing workloads
Balanced Dual GPU Setup: RTX 4080 Super cards offer powerful compute performance with improved energy efficiency
Enterprise-Grade ECC RAM: 128GB DDR5 ECC ensures data integrity and performance under intensive compute loads
Fast, Reliable Storage: 4TB Gen4 NVMe SSD drastically reduces loading and saving times for large AI datasets
Optimized for Thermal Performance: Compact yet efficient cooling and airflow design supports extended workloads
Why Buy This
⚡ High-Performance, Budget-Efficient Deep Learning Solution
🧠 Ideal for Researchers, Startups, and Educational AI Labs
🔧 Expandable for Future GPU or RAM Upgrades
🛡️ ECC Memory and Enterprise Components Ensure Long-Term Stability
✅ HydraCluster Tech Certified – Burn-Tested, Tuned, and Deployment-Ready