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Aivres HGX B300 GPU Server – NVIDIA Blackwell 8×288GB | Dual Xeon 48-Core | 2TB

Aivres HGX B300 GPU Server – NVIDIA Blackwell 8×288GB | Dual Xeon 48-Core | 2TB

$409,000.00

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Aivres HGX B300 GPU Server — KR9288-X3 10U

8× NVIDIA HGX B300 (288 GB HBM3e) | Dual Intel Xeon 6th Gen 48-Core | 3 TB DDR5 ECC | Next-Gen AI & HPC Powerhouse

Configuration Overview

CPU: 2× Intel Xeon 6th Gen 6740P 48-Core Processors

Memory: 32× 96 GB DDR5 ECC REG RDIMM (≈ 3 TB Total)

GPU: 8× NVIDIA HGX B300 (288 GB HBM3e each)

Storage:

 • 2× 960 GB M.2 NVMe SSD (OS / Cache)

 • 8× 3.84 TB 2.5″ U.2 NVMe SSD (Data)

Networking: 8× ConnectX-7 400 Gb/s NICs

Warranty: ✅ 3-Year NBD Onsite Warranty & Support

Powered by Aivres

The Aivres HGX B300 GPU Server, built on the KR9288-X3 10U chassis, is engineered for the most demanding AI and HPC workloads. Leveraging NVIDIA’s Blackwell architecture and fifth-generation NVLink fabric, it delivers unmatched scalability, efficiency, and compute density for multi-trillion-parameter models and enterprise AI applications.

Key Advantages

✅ Enterprise-Grade Reliability – Built to rigorous standards for maximum uptime and system stability.

✅ Optimized for NVIDIA Blackwell – Purpose-built for LLM training, inference, and agentic AI workloads.

✅ Scalable Infrastructure – Flexible design for cluster growth and seamless integration into existing data centers.

✅ Next-Gen Interconnects – Fifth-gen NVLink and ConnectX-7 400 Gb/s NICs enable ultra-low-latency communication.

✅ Future-Ready Design – Accelerates innovation while reducing training time and deployment costs.

Performance Highlights

8× Blackwell Ultra GPUs for maximum compute density

2.3 TB Total HBM3e Memory for training multi-trillion parameter models

400 G Networking via ConnectX-7 x8

1.8 TB/s GPU-to-GPU Bandwidth with next-gen NVLink fabric

Ideal For

• LLM Training at Scale

• Inference & RAG (Retrieval-Augmented Generation)

• Agentic AI & Reasoning Systems

• High-Performance Computing (HPC)

• Data Analytics & Scientific Simulation

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