Recent Posts#
Exploring XGBoost: A Deep Dive
A single source explanation of XGBoost features and its working principles.
Scaling RL with verl on AMD Instinct MI355X: Async Walkthrough and Sync Benchmark
Scale RLHF on AMD Instinct MI355X with verl's fully async trainer. Hands-on GRPO + DAPO examples.
Memory Instruction Scheduling for Lock-Stepped Kernels on AMD Instinct™ MI300X: Introducing the Series
Explore how instruction scheduling eases stalls on AMD Instinct MI300X in a new blog series. This intro covers the motivating example and methodology.
Bring Claude Code On‑Prem with AMD Instinct GPUs
Start running Claude Code securely with a self-hosted SGLang LLM on AMD Instinct MI355X GPUs.
Production-Ready MXFP4 Online Rotation with Fused Kernels on AMD Instinct™ MI355X
Learn how fused Gluon (Triton) kernels cut MXFP4 online-rotation overhead to near-zero on AMD Instinct MI355X, making it production-ready.
Using ODC to Accelerate AMD SFT Training
Learn how we ported ODC on-demand P2P communication to AMD Instinct MI300X to cut FSDP bubbles and speed up variable-length SFT training.
Quark Support for HuggingFace Diffusers and SVDQuant
Learn how to quantize, save, and reload diffusion models in Quark using its new SVDQuant and HuggingFace Diffusers support.
AUP Learning Cloud: Streamlining AI Education on AMD
An all-in-one ROCm JupyterHub platform that deploys GPU-ready AI teaching environments on AMD hardware with one installer and open-source teaching labs.
VSA: Accelerating Video Diffusion Inference with Sparse Attention on AMD GPUs
Accelerate video diffusion inference with VSA sparse attention: up to 3.31x attention kernel-time speedup on AMD Instinct MI308X GPUs
Reverse-Engineering hipBLASLt TensileLite Kernels: From Solution Name to a Tuning Config
Pin the pool's best kernel into a TensileLite tuning config by decoding its solution name, so an expanded re-tune can only match or beat it.
Introducing AMD CDNA™ 5 and the AMD Helios™ Rackscale Solution
Introducing AMD CDNA 5, the AMD Instinct MI455X GPU, and the AMD Helios rackscale solution: an open, integrated platform for rack-scale AI.
Closing the GPU Cluster Validation Gap: A Kubernetes-Native Approach with CVF
Learn how to validate AMD GPU clusters end-to-end with CVF: hardware acceptance, mesh bandwidth, RDMA, and RCCL testing in one pipeline.