Red Hat Research Quarterly
Eldar Kurtić
About the author
Eldar Kurtić is a research scientist at the University of Science and Technology Austria (ISTA) and an inference research lead at Red Hat. Eldar specializes in efficient inference techniques for large machine learning models, with a particular focus on sparsity, quantization, and speculative decoding. His work focuses on developing methods to accelerate inference within the vLLM engine, bridging cutting-edge research with practical deployment solutions.
Articles by this author
New inference techniques are bridging the gap between research and production reality. By translating optimization methods into open source tools, researchers are ensuring that the most capable models remain accessible and efficient for every developer. AI models have become far more capable over the last few years, and much more expensive to run. The same […]
