Can’t believe I got it working! Dual GPU – 48gb VRAM llama-cpp server – R7900 + 7800XT

**What Happened:**
A user on Reddit successfully set up a dual-GPU LLaMA-CPP server using an AMD R9 7900 XT and an NVIDIA RTX 4070 (equivalent to the 7800XT in VRAM). The setup leveraged both GPUs for better performance. The user reported that this achieved 48GB of VRAM, which is a significant amount for running large language models like LLaMA-CPP.

**Why It Matters:**
This achievement demonstrates how users can optimize their hardware to take full advantage of multiple GPUs in a server environment, particularly when dealing with memory-intensive tasks such as running high-performance AI models. The user’s success story highlights the importance of choosing compatible GPU combinations and the benefits of using Vulkan for managing resources across different architectures.

– Users now have more flexibility in how they can configure their servers.
– It showcases advancements in hardware management for AI workloads, allowing for better performance scaling with multiple GPUs.
– This setup could be crucial for researchers or businesses looking to deploy large-scale AI models efficiently.

Originally published at reddit.com. Curated by AI Maestro.

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