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As frontier AI models grow in scale and complexity, developers face a common challenge across every hardware platform: how do you extract the maximum performance and efficiency from the silicon their models run on. Whether delivering real-time experiences for world models, supporting deeper reasoning in agentic workflows, or reducing inference costs at scale, the gap between what hardware can theoretically deliver and what most teams achieve remains significant. Custom kernel development has historically been the path to closing […]

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Managing equipment repairs for heavy farm machinery often requires technicians to diagnose issues without the right parts, leading to multiple site visits, extended downtime, and substantial financial losses, especially during harvest season. In this post, you build an AI-powered equipment repair assistant using Amazon Bedrock AgentCore that helps farmers and field technicians diagnose equipment problems, identify required parts, and access manufacturer-approved repair procedures through natural language. The solution uses AgentCore Runtime with the Strands Agents SDK, Amazon Nova […]

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AWS Graviton processors have improved steadily across generations, with each iteration delivering advances in computational performance, price performance, energy efficiency, and memory capacity. Today, Amazon announced the general availability of the new M9g and M9gd instances of its Elastic Compute Cloud (EC2), for general-purpose workloads. These are the first Amazon products powered by Graviton5, the latest generation of Amazon’s CPU. After five generations of custom silicon and eight years of continuous investment, Graviton powers over 350 instance types […]

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An engineering deep dive into KV cache quantization, asymmetric thread tuning, and PCIe bottlenecks Introduction New frontier models launch weekly, and for most developers, the testing phase abruptly ends when the API bill arrives or the rate limit error appears. While proprietary models are the standard for rapid prototyping, they remain a black box. Users do not own the data, cannot strictly control latency, and are constrained by pricing tiers. Local LLMs are the obvious alternative, offering privacy and […]

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