Intel Engineer Departs, Reflects on AI Flame Graphs and GPU Performance Analysis
Leaving Intel
Read the full articleYou might also wanna read
AI-Driven Approach for Portable GPU Kernels in High-Performance Computing
High-Performance Computing (HPC) applications increasingly depend on GPUs, yet developing optimized kernels across evolving GPU architecture
Software Engineer Begins 32-Week Journey From AI APIs to Local LLM Systems on NVIDIA DGX Spark
A software engineer and technical program manager has launched a 32-week self-directed learning series aimed at transitioning from consuming
Software Engineer Begins 32-Week Journey From AI APIs to Local LLM Systems on NVIDIA DGX Spark
A software engineer and technical program manager has launched a 32-week self-directed program called 'From API to GPU,' aimed at transition
Intel Discontinues BigDL Open-Source AI/LLM Project Amid Restructuring
Among Intel's ongoing reduction in open-source projects they maintain, their BigDL open-source project focused on running large language mod
Intel-backed SambaNova's hybrid GPU-accelerator platform beats GPU-only AI inference in benchmarks
Third-party testing shows heterogeneous compute platform combining H200s and SN50 RDUs churning out 763 tok/s in MiniMax M2.7
South Korea's GPU Race: Why AI Competitiveness Depends on Utilization, Not Just Hardware
Korea is rapidly expanding AI GPU capacity, but infrastructure competitiveness may also depend on utilization, orchestration, and access, no

Comments
Sign in to join the conversation.
No comments yet. Be the first.