Jules S. Damji on LinkedIn: Introducing RLlib Multi-GPU Stack for Cost Efficient, Scalable, Multi-GPU…
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DeepSpeed: Accelerating large-scale model inference and training via system optimizations and compression - Microsoft Research
![Which vm instance can I start to run llama 70 B parameter? Which would be cost efficient? what ram? whether gpu or cpu? how many cpus? : r/LocalLLaMA Which vm instance can I start to run llama 70 B parameter? Which would be cost efficient? what ram? whether gpu or cpu? how many cpus? : r/LocalLLaMA](https://preview.redd.it/which-vm-instance-can-i-start-to-run-llama-70-b-parameter-v0-tr5n474csgob1.png?width=725&format=png&auto=webp&s=50da2893991838330a415d8cc6f03334f8fa61a3)
Which vm instance can I start to run llama 70 B parameter? Which would be cost efficient? what ram? whether gpu or cpu? how many cpus? : r/LocalLLaMA
![Tim Dettmers on X: "If you build setups with many GPUs per server/desktop, the raw performance of GPUs is also important. Adding GPUs to a server makes them more cost-efficient since the Tim Dettmers on X: "If you build setups with many GPUs per server/desktop, the raw performance of GPUs is also important. Adding GPUs to a server makes them more cost-efficient since the](https://pbs.twimg.com/media/FmmaN1kakAApqWG.png:large)