AMD Acquires Nod.ai to Accelerate AI Hardware Optimization

Translated data: AMD plans to acquire Nod.ai, a startup focused on optimizing high-performance hardware. This move underscores AMD's ambitions in the rapidly growing AI chip market. Nod.ai's software accelerates the deployment of AI models on various AMD hardware platforms. Additionally, AMD aims to enhance its reputation in developer tools and open-source development through this acquisition.

AMD Launches vLLM-ATOM Plugin to Deeply Optimize the Inference Performance of Domestic Large Models

AMD released the vLLM-ATOM plugin, aiming to fully tap into hardware potential without changing the existing workflow, significantly accelerating the inference of mainstream large language models such as DeepSeek-R1 and Kimi-K2. vLLM is an open-source framework optimized for throughput and GPU memory utilization in high-concurrency scenarios, focusing on request scheduling and cache management. The ATOM plugin further enhances this capability.

Accelerating Domestic Large Models: AMD Launches vLLM-ATOM Plugin to Significantly Improve Inference Efficiency

AMD launched the vLLM-ATOM plugin, optimizing large language model deployment on AMD hardware. It boosts inference performance for Chinese models like DeepSeek-R1 and Kimi-K2 without altering existing workflows. Tailored for Instinct GPUs, it leverages vLLM's high memory efficiency, enabling low-cost technical migration and smooth performance upgrades.....

OpenAI Joins NVIDIA and Other Giants to Release MRC Protocol, Redefining Large-Scale AI Training Network Architecture

OpenAI has partnered with five major companies, including AMD, Broadcom, Intel, Microsoft, and NVIDIA, to launch the Multi-Path Reliable Connection (MRC) protocol, aimed at addressing network latency and failure issues in large-scale AI training. The protocol has been open-sourced through the Open Compute Project (OCP) and is driving a shift from a three-tier architecture to a two-tier design, breaking single points of failure and improving training stability and efficiency.

AMD: The Rise of CPU May Surpass GPU in the Era of Proxy AI

AMD CEO Lisa Su noted in the Q1 2026 earnings call that the era of agentic AI is driving rapid growth in data center CPU demand. The traditional 'one CPU to multiple GPUs' model is shifting toward near one-to-one CPU-to-GPU ratios, with CPUs potentially surpassing GPUs in the future. CPUs are evolving from a primary scheduling role to a more central computing node, fueling data center architecture transformation.....

AMD Acquires Nod.ai to Accelerate AI Hardware Optimization

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