04 Graphs Introducing GKE Optimized Infmax 1000x1000 1

New GKE inference capabilities reduce costs, tail latency and increase throughput

When it comes to AI, inference is where today’s generative AI models can solve real-world business problems. Google Kubernetes Engine (GKE) is seeing increasing adoption of gen AI inference. For example, customers like HubX run inference of image-based models to serve over 250k images/day to power gen AI experiences, and Snap runs AI inference on …

Leveraging silicon photonics for scalable and sustainable AI hardware

The emergence of AI has profoundly transformed numerous industries. Driven by deep learning technology and Big Data, AI requires significant processing power for training its models. While the existing AI infrastructure relies on graphical processing units (GPUs), the substantial processing demands and energy expenses associated with its operation remain key challenges. Adopting a more efficient …

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2000s AnalogCore v3 – Flux LoRA update

Hey everyone! I’ve just rolled out V3 of my 2000s AnalogCore LoRA for Flux, and I’m excited to share the upgrades: https://civitai.com/models/1134895?modelVersionId=1640450 What’s New Expanded Footage References: The dataset now includes VHS, VHS-C, and Hi8 examples, offering a broader range of analog looks. Enhanced Timestamps: More authentic on-screen date/time stamps and overlays. Improved Face Variety: …

Ferret-UI 2: Mastering Universal User Interface Understanding Across Platforms

Building a generalist model for user interface (UI) understanding is challenging due to various foundational issues, such as platform diversity, resolution variation, and data limitation. In this paper, we introduce Ferret-UI 2, a multimodal large language model (MLLM) designed for universal UI understanding across a wide range of platforms, including iPhone, Android, iPad, Webpage, and …

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Implement human-in-the-loop confirmation with Amazon Bedrock Agents

Agents are revolutionizing how businesses automate complex workflows and decision-making processes. Amazon Bedrock Agents helps you accelerate generative AI application development by orchestrating multi-step tasks. Agents use the reasoning capability of foundation models (FMs) to break down user-requested tasks into multiple steps. In addition, they use the developer-provided instruction to create an orchestration plan and …