… GPT-OSS-20B combines global and local attention mechanisms to balance long-context reasoning with computational efficiency. Local attention layers reduce memory bandwidth and latency, while global attention preserves cross-sequence understanding. …
… Effective Prompting Strategies for HLS Optimization Based on this case study, several prompting practices proved consistently effective. …
… As part of the Radeon AI PRO R9000 series, it targets local AI inference, model development, and other memory-intensive workloads, combining large VRAM capacity with ROCm-based multi-GPU scalability. …
… You can do this by using numactl to pin specific vLLM instances to dedicated CPU cores and their local memory pools. …
… When AI runs locally, efficiently and offline, it can observe context continuously and act without explicit prompts. …