SageMaker HyperPod administration through Unified Studio gives platform teams a layered approach to cluster governance, access…

#AIInfrastructure #SageMaker #GPUs #MLOps
https://aws.amazon.com/blogs/machine-learning/best-practices-for-amazon-sagemaker-hyperpod-administration-and-governance/

Amazon SageMaker adds an aws-ai-ml skill via the Agent Toolkit, letting coding agents like Kiro, Claude Code, and…

#SageMaker #AIagents #Prompting #GenerativeAI
https://aws.amazon.com/blogs/machine-learning/new-agent-skill-amazon-sagemaker-optimized-generative-ai-inference-for-your-coding-agent/

AWS fixes Loom for AWS admin takeover CVE-2026-103956 and a SageMaker Unified Studio code execution bug, CVE-2026-104019. Patch now.

#AWS #LoomForAWS #SageMaker #CVE2026103956 #CVE2026104019 #AISecurity #CloudSecurity #Vulnerability

Fine-tuning a small search agent with multi-turn RL on Amazon SageMaker AI can give it frontier-model reliability for your tools at lower…

#SageMaker #LLM #ReinforcementLearning
https://aws.amazon.com/blogs/machine-learning/fine-tune-a-search-agent-with-multi-turn-rl-on-amazon-sagemaker-ai/

Everyone's talking about serving giant LLMs - but what about serving hundreds of small models without paying to keep every one of them running? Robert Clarke shows how.

👉 www.meetup.com/awsuguk-ai-i...

#AWS #AWSCommunity #SageMaker

✍️ New blog post by xbill

Gemma 4 on Amazon SageMaker or a VM? The Same Model Server at 1.40x the Price

#aws #sagemaker #gemma #vllm

✍️ New blog post by xbill

Gemma 4 on Amazon SageMaker: The NVIDIA T4 Decodes at 0.8x of the L4 With the Same Answers

#aws #sagemaker #gemma #vllm

✍️ New blog post by xbill

Gemma 4 on Amazon SageMaker: 4-Bit Embeddings Decode up to 1.39x Faster on One L4

#aws #sagemaker #gemma #vllm

Automatic model registration between MLflow and the SageMaker Model Registry streamlines governance for data scientists and officers. Sync carries metrics, lineage, and evaluation results automatically. #MLflow #SageMaker #MachineLearning #DataScience

Join us - London - 21 October
🎤 Robert Clarke, Physical AI in Surgical Logistics: Scaling Scalpel AI on Amazon SageMaker: small models at scale
🎤 Ryan Cormack, Open Standards for Agents: which protocols matter?
www.meetup.com/awsuguk-ai-i...
#AWS #AWSCommunity #SageMaker #AgentCore

Amazon SageMaker HyperPodとQumuloによるマルチリージョンAI学習：データとコンピューティングの分離が拓く新時代

SageMaker HyperPodとQumuloでリージョンを跨ぐAI学習の課題を解決し、データ移動なしで高性能を実現。

#AWS #SageMaker #HyperPod #Qumulo #分散学習

✍️ New blog post by xbill

Gemma 4 on Amazon SageMaker: QAT Weights Decode 2.05x Faster Than bf16 on One L4

#aws #sagemaker #gemma #vllm

✍️ New blog post by xbill

Gemma 4 on an Amazon SageMaker Endpoint: AWS CLI, NVIDIA L4, and an MCP Server

#aws #sagemaker #gemma #mcp

Fazit: Der Wettbewerbsvorteil verlagert sich vom Modell zum effizientesten Inferenz-Stack.

Hier der vollständige, faktenbasierte Rückblick:
https://kiboti.com/articles/4a2cc4141523

#SageMaker #AWSInferenz

👉 Mehr lesen: https://kiboti.vercel.app/magazine/4a2cc4141523

SageMaker now accepts ordered instance preferences for training and processing jobs. Replace custom GPU-capacity retries with quota-aware, bounded fallback configuration: https://codereportglobal.indevs.in/articles/sagemaker-instance-preferences-gpu-capacity #AWS #SageMaker #DevOps

"Amazon SageMaker HyperPod now supports Ray for distributed ML workloads on EKS, improving workflow efficiency and resilience. 🚀🛠️ #AWS #SageMaker #Ray #ML"

Amazon SageMaker推論におけるPrefix-awareルーティングによるLLMレイテンシの劇的な削減

SageMakerでPrefix-awareルーティングを解説。

#LLM #AWS #SageMaker #推論最適化 #レイテンシ削減