Introducing ROCprofiler Compute: AMD GPU Profiling in Your IDE
Profile AMD GPUs directly in VS Code and Cursor. View hardware metrics, roofline analysis, and kernel stats — all without leaving your editor.
Blog Posts
Introducing Wafer's Built-in Perfetto Trace Viewer
Open Chrome trace JSON files directly in your IDE with full Perfetto functionality — timeline, flamegraphs, SQL, and metrics.
Introducing the Wafer Extension for VS Code and Cursor
Wafer is the GPU development stack that lives inside your editor: profiling (NCU), compiler explorer, and enhanced GPU docs.
Introducing Chip Benchmark: Hardware-Centric Performance Insights for AI Workloads
As the AI hardware ecosystem rapidly expands, choosing the right accelerator has become increasingly complex. We're excited to introduce Chip Benchmark, an open-source benchmarking suite purpose-built to evaluate the performance of open-weight LLMs across diverse hardware platforms.
Unlocking AMD MI300X for High-Throughput, Low-Cost LLM Inference
Large language models are driving a surge in inference workloads. While the AI community often gravitates toward more well-known GPUs, AMD's MI300X quietly stands out. Equipped with 192 GB of HBM3 and memory bandwidth of 5.3 TB/s, we explore how targeted optimization and quantization can unlock its potential.