#Tpu
Showing 20 of 20 repositories tagged #tpu, ranked by stars
A high-throughput and memory-efficient inference and serving engine for LLMs
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, Slurm, 20+ clouds, on-prem).
Fast and flexible AutoML with learning guarantees.
Everything we actually know about the Apple Neural Engine (ANE)
Large-scale LLM inference engine
Machine learning compiler based on MLIR for Sophgo TPU.
Elegant and Performant Deep Learning
Differentiable Fluid Dynamics Package
Everything you want to know about Google Cloud TPU
JetStream is a throughput and memory optimized engine for LLM inference on XLA devices, starting with TPUs (and GPUs in future -- PRs welcome).
Small-scale Tensor Processing Unit built on an FPGA
<케라스 창시자에게 배우는 딥러닝 2판> 도서의 코드 저장소
PyTorch/XLA integration with JetStream (https://github.com/google/JetStream) for LLM inference"
EvoPose2D is a two-stage human pose estimation model that was designed using neuroevolution. It achieves state-of-the-art accuracy on COCO.
Solana TpuClient Typescript Implementation
Minimal TPU implementation with 8x8 systolic array and PyTorch integration
Solana Leader TPU List and Event Stream
Boost hardware utilization for ML training workloads via Inter-model Horizontal Fusion
A simple and efficient TPU (Transaction Processing Unit) client for Solana, utilizing the QUIC protocol for data transmission.