…available in both air-cooled and direct liquid-cooled configurations, AMD Instinct MI355X GPUs are built to deliver more than speed. They also are designed to deliver large-model capacity and deployment…
…features, functionality, performance, availability, timing and expected benefits of future AMD products including the AMD Helios rack-scale platform and AMD Instinct MI450X GPUs being on track for deployment in second half…
…Support is available in the Gemma 4 launch build of vLLM via docker image using the vLLM Gemma 4 recipe . docker pull vllm/vllm-openai-rocm:gemma4 For all AMD GPUs, vLLM…
From Innovation to Deployment Ready: AMD Advances AI Networking at Scale with MRC May 06, 2026 What does it take to power the world’s most demanding AI models, like those behind…
…This enables fast deployment, easy qualification, and simplified support for telco, cloud storage, and edge applications. Enterprise‑class reliability, availability, and serviceability (RAS) can reduce operational risk and bring data‑center‑class…
…Full single-card deployment with generous memory headroom. Radeon AI PRO R9700 (32 GB GDDR6): Single-card deployment via enable_model_cpu_offload(), with peak VRAM usage well within the card’s…
…Free Deployment with Qwen 3.5 and SGLang Mar 16, 2026 OpenClaw stands out because it gives users meaningful control over what their agent can do. Instead of prescribing a fixed experience…
…This post walks through the practical path: start the ROCm™ software backend on the AMD Developer Cloud instance, install vLLM-SR, import the reference profile, and validate the deployment end to end…
…and deployment tools (rocSMI, Docker, Kubernetes, SLURM, and more). ROCm includes upstream support for PyTorch. ROCm 4.0 ROCm supports AMD CDNA™ architecture. ROCm 5.0 PyTorch official package available. ROCm supports…
…Product Table Get Started Jump-start your design cycle and achieve fast time-to-market with the proven hardware, software support, tools, design examples, and documentation available for the kit. Zynq RFSoC…