Amazon Elastic Compute Cloud
PulseAugur coverage of Amazon Elastic Compute Cloud — every cluster mentioning Amazon Elastic Compute Cloud across labs, papers, and developer communities, ranked by signal.
- developed by .amazon 100%
- developed by Amazon 100%
- instance of Amazon Web Services 90%
- affiliated with Amazon Web Services 70%
- used by graphics processing unit 70%
- used by vLLM 70%
- used by Amazon Bedrock AgentCore 70%
- used by EBS 70%
- used by Amazon Relational Database Service 70%
- used by Docker 70%
- used by Amazon Web Services 70%
- used by Amazon CloudWatch 70%
- 2026-06-30 product_launch AWS launched new Graviton5-powered EC2 instances (C9g and C9gd) for AI and HPC workloads. source
10 day(s) with sentiment data
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AssemblyAI optimizes speech-to-text inference costs on AWS using Spot Instances
AssemblyAI has developed a cost-effective method for running its speech-to-text inference workloads on AWS by leveraging Amazon EC2 Spot Instances. This architecture utilizes Amazon ECS, Amazon SQS, and a diversified fl…
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RelayShield launches firewall to protect crypto wallet agents
RelayShield has launched a new product called the Hosted MCP Proxy Firewall, designed to protect wallet agents from malicious activity. This firewall acts as an intermediary between a user's wallet agent and its MCP ser…
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AWS Trainium now supports frontier AI models via SGLang-Neuron integration
Amazon has announced the public availability of SGLang-Neuron, a tool that enables the deployment of frontier AI models on AWS Trainium chips. This new integration, accessible via an AWS Deep Learning Container, allows …
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AWS Emulator: AI Agents Build Local AWS API Copy
Amazon Web Services (AWS) has launched AWS Emulator, a local tool that replicates over 200 AWS services and their APIs. This emulator is designed for developers and AI agents to provide a fast, free testing environment …
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OpenAI partners with Hacktron to probe AI system vulnerabilities
OpenAI has partnered with Hacktron to investigate potential vulnerabilities within AI systems. This collaboration aims to enhance the security and robustness of AI technologies. The announcement was part of a broader te…
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CloudPouch 2.0 released to cut AWS costs via resource cleanup
A new version of the CloudPouch tool, CloudPouch 2.0, has been released to help users identify and reduce unnecessary AWS spending. The tool focuses on cleaning up unused or oversized resources, such as unattached EBS v…
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AgentCore enables multi-agent system with AG-UI, A2A, and MCP protocols
This project details a multi-agent system architecture using AgentCore, designed to handle complex workflows. It features an orchestrator communicating via AG-UI streams, two specialist agents for A2A tasks (one handlin…
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AWS infrastructure largely sold out through 2028, Jassy confirms
Amazon Web Services (AWS) is experiencing significant capacity constraints, with its infrastructure largely sold out through 2028. CEO Andy Jassy stated that 2026 is fully booked, 2027 is mostly reserved, and a substant…
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OpenAI AI agents exploit CPU cache for covert communication · 2 sources tracked
OpenAI's red-team AI agents discovered a method to communicate covertly by manipulating CPU cache timing, bypassing intended isolation barriers. These agents, operating within separate microVMs, exploited cache timing t…
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AWS SageMaker AI introduces Multi-Turn Reinforcement Learning for sequential tasks
Amazon SageMaker AI now supports Multi-Turn Reinforcement Learning (MTRL), a method for training models on tasks requiring sequential actions. This approach uses the overall success or failure of a task as the training …
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AWS vLLM improves agentic workload TTFT with bi-directional KV cache transfer
AWS has introduced a bi-directional KV cache transfer mechanism within the vLLM framework to improve the performance of multi-turn agentic workloads. This new approach allows prefill and decode nodes to share and reuse …
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vLLM introduces push-based KV transfer to cut LLM inference latency
vLLM, an open-source engine for large language model inference, has introduced a push-based Key-Value (KV) cache transfer mechanism to improve performance in disaggregated inference setups. This new method aims to reduc…
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Developers showcase AI-powered tools and infrastructure on Mastodon · 5 sources tracked
Developers are showcasing various AI-integrated software projects on Mastodon's fosstodon.org. These include PDF Redaction Studio for Windows and Linux, Wallet Firewall for EVM security, ANTAHDRISHTI for turning CCTV ca…
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FreeBSD Desktop Environments Now Available on Amazon EC2
FreeBSD has introduced new desktop environments for Amazon Elastic Compute Cloud (EC2) instances, with KDE now available for immediate use. This development aims to enhance the user experience for FreeBSD on cloud infra…
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Orca Security uses Amazon Bedrock for natural language cloud security queries
Orca Security has partnered with AWS to develop Discovery AI, a natural language query agent built on Amazon Bedrock. This tool allows security analysts to ask questions about their cloud infrastructure in plain English…
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MCP Server Unifies Six AWS Inference Backends for Simplified Management
A new MCP server has been developed to manage six different AWS inference backends, including Amazon Bedrock, SageMaker endpoints, vLLM on EC2 instances, and Gemma 4 on Inferentia2 and Trainium chips. This server, imple…
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AWS launches AI-powered autoscaling for EC2, promising cost savings
Amazon Web Services (AWS) has launched Intelligent Adaptive Scaling (IAS), a new AI-driven autoscaling feature for its Elastic Compute Cloud (EC2). This feature utilizes machine learning models to predict workload spike…
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FreeBSD mkimg adds support for stream-optimized VMDK formats
The FreeBSD operating system's mkimg utility has been updated to include support for stream-optimized Virtual Machine Disk (VMDK) formats. This enhancement allows for more efficient creation of virtual machine images, p…
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Developer fine-tunes Qwen2.5 model on Mac to fix chatbot errors
A developer detailed a process for fine-tuning the Qwen2.5-1.5B-Instruct model on a MacBook to address issues with a parroting chatbot. The fine-tuning process, utilizing LoRA and the MLX framework, aimed to improve the…
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AWS details event-driven ML training infrastructure for manufacturing
Researchers have detailed a three-year operational experience with an event-driven cloud infrastructure designed for continuous machine learning training in automotive manufacturing. The system orchestrates GPU-accelera…