AMD EPYC™ Server CPUs in the Era of Agentic AI
…Leadership core density to run many agents in parallel Optimal power efficiency with the leading vCPU count per TDP Ideal cost efficiency with high core count per TCO Native compatibility with robust…
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GEAK v4: From Faster Kernels to Faster Workloads
…Depth control Max rounds, parallelism, and time limit. Fast/default/deep modes, wall-clock limits, agent budget, and multi-kernel/multi-backend parallelism. Optimization horizon Short single-kernel runs, roughly hours. Longer…
The Resilience as an Architectural Structure
…This makes the architecture relevant to long sessions, multi-user serving, and environments where available VRAM per instance is the limiting factor. Image Zoom Figure 1. TGP Runtime Continuity Loop Image Zoom…
AMD Announces More Than $10 Billion in Taiwan Ecosystem Investments to Accelerate AI Infrastructure
…Material factors that could cause actual results to differ materially from current expectations include, without limitation, the following: impact of government actions and regulations such as export regulations, import tariffs, trade protection…
Accelerating Applications with AOCL Cryptography
…SELECT encrypt('aes-256-ctr', payload, key, iv) FROM events LIMIT 1000000 executes a million AES key-schedule and cipher operations inline during query evaluation. At this scale, the crypto backend becomes…
What is AI Networking?
…Even enterprise AI deployments that begin small can quickly outgrow their networks, as inefficient communication can reduce GPU utilization and limit overall ROI. As AI workloads scale up within servers and scale…
A Look Ahead: Extending Server Energy Efficiency with LPDDR5X Memory
…At the same time, power consumption has become a material issue for data center operations, including the point where it can limit capacity and growth in the data center. While advanced CPUs…
OpenCLaw on AMD Developer Cloud: Free Deployment with Qwen 3.5 and SGLang
…To address these concerns, this guide demonstrates how to use a powerful open-source model that exceeds the limits of typical consumer-grade GPUs by running it on enterprise data center hardware…
Windows Local AI: AI model deployment using Windows ML on AMD NPU
…Additionally, the approach is cost-effective by removing cloud API costs and usage limits, allowing unlimited AI operations without ongoing expenses. Production-Ready Performance The platform offers production-ready performance by leveraging…
Cloud Bridge Drives AWS Cloud Cost Savings at Scale with AMD
…They were also not confident that there would be performance benefits and feared compatibility issues. The business cases were not sufficiently compelling for stakeholders to implement the change. This meant they were…