AMD (AMD) Advancing AI 2024 summary
Event summary combining transcript, slides, and related documents.
Advancing AI 2024 summary
9 Jul, 2026Key announcements and product launches
Introduced 5th Gen EPYC CPUs (Turin) with up to 192 cores, 5 GHz frequency, and industry-leading performance for AI and enterprise workloads.
Launched MI325X Instinct accelerator with 256 GB HBM3E memory, 6 TBps bandwidth, and up to 40% better inference performance than competitors.
Previewed MI350 series with CDNA 4 architecture, offering 7x more AI compute and 35x generational performance leap, launching in H2 2025.
Announced new networking products: Salina 400 DPU and Pollara 400 AI NIC, supporting 400 Gbps and UEC-ready RDMA, available early next year.
Unveiled Ryzen AI Pro 300 Series for enterprise PCs, featuring Zen 5 CPU, RDNA 3.5 graphics, and 50+ TOPS NPU for Copilot+ PCs.
Strategic partnerships and ecosystem growth
Deepened collaborations with Google, Oracle, Microsoft, Meta, Dell, HPE, Supermicro, Lenovo, and Databricks, driving co-innovation across cloud, enterprise, and AI workloads.
Google Cloud to launch Turin-based VMs in early 2025; Oracle scaling MI300X and planning E6 instances; Meta deployed over 1.5 million EPYC CPUs and ramped MI300X for Llama 405B.
Dell, HPE, Supermicro, and Lenovo announced new server platforms and edge solutions optimized for AMD CPUs and GPUs, with record-setting performance and energy efficiency.
Microsoft highlighted joint optimization of hardware and software for Azure and Copilot+ PCs, emphasizing performance per dollar per watt.
Expanded developer ecosystem with over 150 ISVs for Ryzen AI, and broad support for open-source AI frameworks like PyTorch, JAX, Triton, and vLLM.
Software and AI ecosystem advancements
ROCm AI software stack now supports over one million Hugging Face models, with day-zero support for major releases and significant performance gains in inference and training.
Acquired Silo AI to deliver end-to-end AI solutions and accelerate customer deployments.
ROCm 6.2 delivers 2.4x inference and 1.8x training performance improvements over previous versions.
Panelists from Reka, Fireworks, Essential, and Luma AI reported rapid integration, high performance, and efficient scaling on MI300X and ROCm.
Developer sessions featured leaders from OpenAI, Meta, Microsoft, xAI, Cohere, and creators of key AI frameworks, fostering community engagement.
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