AMD Alveo™ MA35D AMA SDK 1.5.0 Release Announcement
… Our customers can adopt newer OS and kernel environments with confidence, knowing AMD Alveo™ MA35D hardware remains aligned with modern infrastructure and media tooling. …
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AMD Vitis™ Unified Software Platform
… It uses the native API implemented by the AMD Vitis Runtime Library to interact with hardware kernels within the AMD device. Hardware kernels that can be generated from C++ using the AMD Vitis™ HLS tool or described directly in RTL using AMD Vivado™ Design Suite. …
ZenDNN 5.2.1: Deepening Quantization and Expanding the AI Inference Frontier on AMD EPYC™ CPUs
… Fused Normalization Kernels : Fused add + RMS normalization with BF16, backed by dedicated AVX-512 kernels. AutoTuner Binning : A new binning approach for kernel selection that improves dispatch accuracy across diverse workload shapes. …
On-Demand Customer Training
… Designing with Versal AI Engine: Kernel Programming and Optimization - 3 Covers the advanced features of the Versal AI Engine, including debugging an application in the Vitis unified software environment, using filter intrinsics, implementing a system design in hardware, and optimizing an AI Engine… …
OpenFold3 Meets AMD Instinct™ GPUs: Unlocking Scalable, High-Throughput Structural Biology
… Minjia Zhang’s group at the University of Illinois Urbana-Champaign, AMD accelerated OpenFold3 inference using hardware-agnostic Triton kernels to bring memory-efficient OpenFold3 inference across a broader range of hardware platforms. …
A progressive approach to accelerating system-level verification for AMD Versal™ adaptive SoC designs
… Flow 3: Hardware-in-the-loop Verification Hardware-in-the-loop verification represents the final stage of the progressive simulation strategy. …
Bud Ecosystem pioneers innovative new Indic LLM with AMD
… Its kernels are optimized for different algorithms and quantization, and it’s fully compatible with PyTorch. Because ROCm is open source, we can examine the kernels directly, take advantage of community contributions, and port our code directly with only minimal work. …
Accelerating LLM Startup on AMD Ryzen AI with Two-Phase Custom Op Initialization
… Device-side NPU setup transitions into kernel mode via the NPU driver, working with device memory allocation, accelerator kernel configuration, and host-to-device data transfers. …
Advancing Windows ML Acceleration with AMD at Microsoft Build 2026
… This delivers measurable gains in kernel-level performance and runtime stability while reducing a model’s overall memory footprint. …
Reliable SHA-256 Through LLM-Aided HLS Dataflow Optimization
… The starting point here is the HMAC-SHA-256 kernel, targeting the xcu200-fsgd2104-2-e part with Vitis HLS 2025.2. …