TokenSpeed-Kernel: Master Multi-Silicon LLM Inference
Unlock high-performance LLM inference with the TokenSpeed-kernel. Learn how this open-source subsyst...
29 articles in this category
Unlock high-performance LLM inference with the TokenSpeed-kernel. Learn how this open-source subsyst...
Discover how PyTorch Monarch now enables single-controller distributed training for LLMs on AMD Inst...
Learn how to quickly deploy a vLLM server on Hugging Face Jobs with a single command. Optimize your...
If you're building LLMs, olmo-eval offers a Python-based workbench to manage your iterative evaluati...
PyTorch 2.11.0 now provides aarch64 GPU wheels on PyPI, directly solving a two-year dependency heada...
Unlocking Faster Generative AI WorkloadsIf you are deploying PyTorch models on Apple Silicon, your g...
PaddleOCR 3.5 brings Transformers-centered workflows to your OCR and document parsing tasks. Underst...
When migrating vLLM from V0 to V1, prioritize backend correctness. Learn why issues in processed rol...
IBM Research launched the RITS Platform in Nov 2024, using vLLM for LLM inference. Understand the ar...
If you're operating LLM inference, you're likely bottlenecked. Discover how Shepherd Model Gateway's...
Examine the technical architecture, training regimen, and implications of IBM's Granite 4.1 LLMs for...
NVIDIA's Nemotron 3 Nano Omni offers a unified architecture for multimodal AI. Understand its Mamba,...