Luma boosts inference using AMD's MI325X GPUs!
Luma Runs Production Inference on AMD and Tensorwave
Original: Luma Runs Production Inference on AMD and Tensorwave | Luma
Importance: 新たなマルチモーダルAGIの推進が進展しているため。
Summary
Luma is collaborating with AMD and TensorWave to build multimodal AGI. They utilize AMD's MI325X GPUs for inference on models like Ray3.2, leveraging significant computational resources. The migration process was smooth, with approximately 90% of the code running immediately, enabling creators to reduce costs while enhancing creative control.
Key Points
- Luma partners with AMD and TensorWave
- Inference implemented using MI325X GPUs
- 90% of code runs immediately
- Cost reduction and enhanced creative control
- Migration involved 2-3 engineers
View developer notes (APIs, breaking changes, migration)
Luma performs inference on all major models using AMD's MI325X GPUs, including Ray3.2, Uni-1, and Luma Agents. The video-to-video pipeline consists of submodels like variational autoencoders, ControlNets, and LoRAs. Migration required 2-3 engineers and around two weeks, achieving performance targets with additional AMD support. AMD's PyTorch backend offered 90% code compatibility, adapting the attention implementation to AMD's AITER library.
Source: https://lumalabs.ai/news/luma-runs-production-inference-on-amd-and-tensorwave
Outlet: Luma Labs
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