Posts by Arsalan Farooq
Hyperloom - Autonomous Agentic Inference Optimization for AMD GPUs
- 23 July 2026
AMD is excited to introduce ROCm™ Hyperloom, a new open-source, agentic system aimed at automating the time-consuming task of optimizing end-to-end inference workloads. Using Hyperloom reduces the time to optimize an end-to-end workload from weeks to hours, saving time and enabling valuable resources to be allocated to other critical tasks. By combining various tools into an autonomous optimization loop, Hyperloom allows you to get the best performance out of your model and custom configuration on AMD Instinct GPUs.
GEAK V3: Agent-Driven, Repository-Level GPU Kernel Optimization across HIP, Triton, and FlyDSL on AMD GPUs
- 20 July 2026
In the ever-evolving world of GPU computing, optimizing kernels for performance and efficiency is a critical challenge. Hand-tuning kernels demands deep technical expertise and manual iteration. In this blog, you will read about how GEAK v3, the latest iteration of the agent-driven framework, tackles this problem using enhanced features such as task planning, test-harness discovery, patch-based handling of multi-file kernels, dynamic memory system and expert knowledge database. Our results show improvements across three kernel languages (HIP, Triton, and FlyDSL) and both CDNA and RDNA GPUs.