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This Beast of an Ebike Is the Steed for All Your Off-Roading Adventures
I’m 5’4”, and even with the seat on the lowest setting where the balls of my feet could touch the ground, I felt a little unstable when the bike was stopped, particularly on steep inclines and declines. It’s just a lot of machine to handle. (Plus, the
Disaggregated prefill and decode for LLM inference on SageMaker HyperPod | Amazon Web Services
When prefill and decode share a GPU, long prompts stall token generation for every concurrent request. Disaggregated Prefill and Decode (DPD) removes this interference by running each phase on separate GPU pools connected through Elastic Fabric Adapter (EFA) with Remote Direct Memory Access (RDMA). Large language model (LLM) inference has
How KTern.AI built agentic AI for SAP on Amazon Bedrock AgentCore | Amazon Web Services
In this post, learn how KTern.AI, an SAP digital transformation platform, used Amazon Bedrock AgentCore to build and deploy AI agents ready for enterprise-scale SAP transformation workloads. These agents autonomously orchestrate workflows from reverse engineering, fit-to-standard, and code analysis to exception mining in Finance and Sales processes. The result
Deploying quantized models on Amazon SageMaker AI with Unsloth | Amazon Web Services
This post was co-written with Daniel Han and Michael Han from Unsloth. Deploying large foundation models (FMs) stored at their original 16-bit floating-point precision (BF16 or FP16) is expensive. They need large GPU instances, driving up serving costs, and slowing down iteration cycles. Quantization addresses this by reducing the numerical