Trace Compare: Compare vLLM traces across platforms
Get accurate 1:1 kernel mappings across hardware providers. Compare large vLLM traces in seconds with clean prefill vs. decode separation.
Blog Posts
Workspaces: GPU Compute for Your Coding Agent
Give your AI coding assistant direct access to GPUs. No manual SSH setup, no Docker, or infrastructure management.
Cloud Compiler Analyzer (PTX/SASS) Inside Your IDE
Cloud CUDA compilation with PTX/SASS output, PyTorch headers, and VS Code integration. No local CUDA install required.
Nordlys Labs: 8x Faster Routing with Wafer-Guided Kernel Optimization
How a non-kernel-expert achieved 8x speedup on latency-critical CUDA clustering code using profile-guided optimization with Wafer.
Profile-Guided GPU Kernel Optimization
How adding profiling tools to our CLI helped an agent break through a theory-based optimization plateau, achieving 11.65x speedup on the Kimi Delta Attention kernel.
The Year of the LLM GPU Kernel Engineer
We used an AI agent to optimize AMD's topk_sigmoid kernel, achieving a 9x speedup over PyTorch. Here's exactly how our agent did it
Case Study: A 104x (?) Speedup on KernelBench
How a fused kernel claiming 104x speedup passed our correctness checks while reading garbage memory, and the determinism check that catches it.
Which models are the most HIP?
LLM-generated kernels are all the rage right now. We used frontier AI models to write HIP kernels for KernelBench and ran them on MI300Xs. Which ones performed the best?
wafer-ai CLI: GPU Superpowers for Your Coding Agent
Give your AI coding assistant direct access to GPU documentation, trace analysis, and remote kernel evaluation with the wafer-ai CLI.
GPU Docs: Now Available on the Web
The GPU documentation tool that thousands of engineers loved in our IDE extension is now available as a standalone web app.
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.
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.