High-performance GPU tensor quantization and inference engine for AMD ROCm. Native AOT GEMV (K-Quants & I-Quants), State Space Model (SSM/DeltaNet) kernels, FP8 WMMA WaveAttention, and portable HIP C++ kernels for RDNA4, RDNA3, and CDNA.
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| # | Наименование новости | Тональность | Информативность | Дата публикации |
|---|---|---|---|---|
| 1 | hip-quant 2.2.3 | 0 | 28.09 | 25-09-2026 |
| 2 | AMD Jumps From ROCm 7.14 To ROCm 10.0 With ROCm.AI | 0 | 12.79 | 27-08-2026 |
| 3 | Hardware-aware framework accelerates large language models without additional training | 0 | 8.57 | 06-08-2026 |
| 4 | AMD Working On A New Backend For Improving ROCm Compute In QEMU/VMs | 0 | 8.49 | 17-08-2026 |
| 5 | ggml-rocm x86_64 | 0 | 48.89 | 14-07-2026 |
| 6 | OpenCV and AMD Announce Collaboration to Accelerate Computer Vision and Vision AI Workloads on AMD Hardware | 5 | 6 | 04-06-2026 |
| 7 | Qualcomm QCE Driver On The Chopping Block With ~48x Slower Than Armv8 Crypto Extensions | 0 | 7.54 | 24-07-2026 |
| 8 | RCCLX: Innovating GPU Communications on AMD Platforms | 0 | 9 | 24-02-2026 |
| 9 | whisper-cpp-rocm x86_64 | 0 | 48.89 | 08-07-2026 |
| 10 | AMD Preparing To Enable HDMI 2.1 FRL Support By Default For Linux | 0 | 8.87 | 27-08-2026 |