192GB VRAM 8x 3090s + 512GB DDR4 RAM AMA
A user has built a powerful AI/ML workstation with 8 NVIDIA GeForce RTX 3090 GPUs, providing a total of 192GB of VRAM, and 512GB of DDR4 RAM.
Why it matters
This setup demonstrates the increasing computational requirements for advanced AI/ML applications, highlighting the need for powerful hardware to support the development and deployment of large-scale models.
Key Points
- 1User has built a powerful AI/ML workstation with 8 NVIDIA GeForce RTX 3090 GPUs
- 2The system has a total of 192GB of VRAM and 512GB of DDR4 RAM
- 3The user started with 4 GPUs and then added 4 more, indicating a growing need for more VRAM
Details
The user has built an impressive AI/ML workstation with 8 NVIDIA GeForce RTX 3090 GPUs, each with 24GB of VRAM, resulting in a total of 192GB of VRAM. The system also features 512GB of DDR4 RAM, providing ample memory for large-scale AI/ML models and data processing. The user initially started with 4 GPUs and then added 4 more, suggesting a growing demand for increased VRAM and computing power in their AI/ML projects.
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