Quad RTX 3090 LLM 96GB VRAM Powerhouse Workstation

Description

Extreme Multi-GPU Performance with Quad RTX 3090 (96GB VRAM Total)

This system features four NVIDIA RTX 3090 24GB GPUs, connected via four PCIe riser cables and mounted on a spacious open-air frame for maximum cooling efficiency. With 96GB total VRAM, it provides the power needed to run:

• LLaMA 3 models (8B, 70B, 90B quantized)

• Qwen2 models up to 72B

• Mixtral 8x7B and 8x22B

• Mistral 7B, 12B

• DeepSeek, Gemma, Phi, StarCoder, CodeLLaMA, 120b Venus, oss 120b, and more

This workstation supports everything from lightweight 7B models in FP16 to massive 120B-parameter models using tensor parallelism or quantized inference.

It is ideal for developers running:

• Full-precision 7B / 13B models

• Large 34B and 70B models in Q4/Q5 quantization

• Multi-GPU sharded 90B+ models

• High-throughput embedding pipelines

• Vision-language models like Qwen-VL and LLaVA

If you want a system that can run any local LLM currently available, this hardware delivers.

Powered by AMD Ryzen 9 9950X — 16 Cores of Next-Gen CPU Speed

At the core of this workstation is the AMD Ryzen 9 9950X, offering:

• 16 cores / 32 threads

• High-efficiency 5nm architecture

• Exceptional multi-thread performance

This ensures fast pre-processing, tokenization, dataset handling, vector database operations, and RAG pipelines — all essential for modern AI workflows.

The CPU is cooled by a Noctua premium air cooler, known for ultra-quiet operation and exceptional thermal stability for 24/7 workloads.

128GB of High-Speed DDR5 — Ready for Large Datasets & RAG Pipelines

With 128GB of G.Skill DDR5 6000MHz RAM, this system provides the memory capacity and bandwidth required for:

• Embedding models

• Large dataset processing

• Fine-tuning and QLoRA tasks

• Chunking and retrieval workflows

• Vector database operations (FAISS, Milvus, LanceDB)

For AI researchers, full-stack ML developers, and data-heavy workloads, this RAM configuration ensures smooth, bottleneck-free performance.

Fast Storage — 2TB NVMe Gen 4 SSD

The included 2TB Gen 4 NVMe SSD offers extremely fast read/write speeds, making it perfect for:

• Model storage and swapping

• Dataset loading

• High-speed checkpoints

• Multi-model experimentation

It provides the responsiveness needed for modern local AI development.

Open-Air GPU Frame — Maximum Cooling, Maximum Performance

The open-air frame provides:

• Unrestricted airflow across all GPUs

• Easy access for maintenance and upgrades

• Much lower thermals than enclosed towers

• Ideal conditions for 24/7 AI tasks

This design dramatically improves GPU longevity and stability during fine-tuning, training, and long inference sessions.

If you need a Quad RTX 3090, 4 GPU AI workstation that can run LLaMA, Qwen, Mixtral, Mistral, DeepSeek, or any LLM up to 120B parameters, this is the most cost-effective solution on the market. High performance, high airflow, massive VRAM, and next-gen hardware — all at a price no server-grade machine can match.

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