Lucas Wilkinson
Lucas Wilkinson's contributions
Article
Run decision models on vLLM and Red Hat AI using DiffusionGemma
Lucas Wilkinson
+1
Implement structured decision reads with DiffusionGemma on Red Hat AI to achieve low-latency, self-hosted AI for regulated industries.
Article
Run Gemma 4 with Red Hat AI on Day 0: A step-by-step guide
Saša Zelenović
+4
Learn how to deploy and experiment with Gemma 4, the latest open model family from Google DeepMind. This guide covers text, image, and video input, Mixture-of-Experts architecture, and more. Get started with Red Hat AI Inference Server today.
Article
How we optimized vLLM for DeepSeek-R1
Michael Goin
+4
Explore inference performance improvements that help vLLM serve DeepSeek AI models more efficiently in this technical deep dive.
Article
Introducing Machete, a mixed-input GEMM kernel optimized for NVIDIA Hopper GPUs
Lucas Wilkinson
Machete, Neural Magic’s optimized kernel for NVIDIA Hopper GPUs, achieves 4x memory savings and faster LLM inference with mixed-input quantization in vLLM.
Article
How Marlin pushes the boundaries of mixed-precision LLM inference
Michael Goin
+1
Learn about Marlin, a mixed-precision matrix multiplication kernel that delivers 4x speedup with FP16xINT4 computations for batch sizes up to 32.
Run decision models on vLLM and Red Hat AI using DiffusionGemma
Implement structured decision reads with DiffusionGemma on Red Hat AI to achieve low-latency, self-hosted AI for regulated industries.
Run Gemma 4 with Red Hat AI on Day 0: A step-by-step guide
Learn how to deploy and experiment with Gemma 4, the latest open model family from Google DeepMind. This guide covers text, image, and video input, Mixture-of-Experts architecture, and more. Get started with Red Hat AI Inference Server today.
How we optimized vLLM for DeepSeek-R1
Explore inference performance improvements that help vLLM serve DeepSeek AI models more efficiently in this technical deep dive.
Introducing Machete, a mixed-input GEMM kernel optimized for NVIDIA Hopper GPUs
Machete, Neural Magic’s optimized kernel for NVIDIA Hopper GPUs, achieves 4x memory savings and faster LLM inference with mixed-input quantization in vLLM.
How Marlin pushes the boundaries of mixed-precision LLM inference
Learn about Marlin, a mixed-precision matrix multiplication kernel that delivers 4x speedup with FP16xINT4 computations for batch sizes up to 32.