Researchers at UC Berkeley Sky Lab extended the K-Search evolutionary kernel optimization framework with a CUDA-to-MLX translation layer, enabling automatic transfer of GPU kernel expertise from NVIDI…
Researchers at UC Berkeley Sky Lab extended the K-Search evolutionary kernel optimization framework with a structured CUDA-to-MLX translation layer, enabling automatic transfer of decades of CUDA kern…
Trajectory, in collaboration with UC Berkeley Sky Lab and Anyscale, released a concurrent multi-LoRA training stack for continual learning that achieves a 2.81× end-to-end experiment-throughput gain o…
Trajectory, in collaboration with UC Berkeley Sky Lab and Anyscale, built a concurrent, multi-LoRA training platform for continual learning workloads that achieved a 2.81× end-to-end experiment-throug…