AMD Prepares Instinct MI350 for Q4 Shipment
AMD showcases the Instinct MI350 GPU at a June 2025 press event. Designed for large-scale AI deployments, it targets growing demand across Asia.
Advanced Micro Devices (AMD) has confirmed that its upcoming Instinct MI350 series GPUs will begin shipping before the end of 2025. The announcement signals AMD’s continued push to compete in the global high-performance computing (HPC) and AI infrastructure market, particularly in Asia.
The MI350 GPU series is based on AMD’s CDNA 4 architecture and features 288GB of HBM3E memory, delivering peak theoretical bandwidth up to 8 TB/s. These capabilities are designed to accelerate demanding AI workloads across training and inference. AMD has also emphasized its support for low-precision formats such as FP4 and FP6, which are increasingly important for optimizing performance and efficiency in large-scale generative AI.
AMD is pairing the hardware with its ROCm software stack to simplify the deployment and orchestration of AI models. This open ecosystem approach is intended to ease integration into existing infrastructure. Hardware partners such as AMAX have also announced compatibility across their latest rack-scale and server platforms.
As regional operators prepare for increasing demand in GPU-heavy deployments, AMD’s entry with the MI350 series presents new options for data centers balancing performance, compatibility, and cooling infrastructure – particularly as operators pursue both air-cooled and liquid-cooled configurations.





Follow the Chipmaker: How AI and Demand-Side Pressure Are Forcing a New Climate-Driven Energy Playbook
Beyond the Grid: How a 500 MW Deal in Malaysia Signals Asia’s New Energy Playbook
Change the Play: Global Investors Pivot to AI “Real Assets” Amid Sovereign Fund Push in Asia
The New Currency: AI Governance Takes Center Stage as Trust Becomes a Critical Asset
Global AI Race Fuels Vertical Integration as AI Investment Strategies Shift
Localized Innovation Redefines HR Technology in Asia: Regional R&D and Ecosystems Challenge Global Models