AWS MLQuery structured data from Amazon Q Business using Amazon QuickSight integration
Query structured data from Amazon Q Business with Amazon QuickSight integration for unified conversational experience
DatabricksDatabricks Wins Four 2024 AWS Partner of the Year Awards
Celebrating Databricks' achievement of winning multiple awards at the 2024 AWS Partner of the Year Awards
Google CloudFireworks.ai: Lighting up gen AI through a more efficient inference engine
Fireworks.ai introduces a more efficient gen AI inference engine with support from partners like NVIDIA and Google Cloud.
Google CloudFaster food: How Gemini helps restaurants thrive through multimodal visual analysis
Unlocking efficiency and safety in restaurants with multimodal visual analysis powered by Gemini
Apple MLLearning Elastic Costs to Shape Monge Displacements
Optimizing distribution mapping efficiency through elastic costs and Monge displacements.
Google CloudVeo and Imagen 3: Announcing new video and image generation models on Vertex AI
Announcing new video and image generation models on Vertex AI
DatabricksThe Power of AI in Business Intelligence: A New Era
Unlocking the potential of AI in Business Intelligence through tailored data intelligence and advanced AI/BI Dashboards
DatabricksDatabricks Brings AI to the Enterprise using NVIDIA AI and Accelerated Computing
Databricks collaboration with NVIDIA advances AI and data workflows through unmatched performance and efficiency
AWS MLIntroducing Fast Model Loader in SageMaker Inference: Accelerate autoscaling for your Large Language Models (LLMs) – Part 2
Accelerate autoscaling for your Large Language Models with the introduction of Fast Model Loader in SageMaker Inference, reducing model loading times by up to 15 times compared to traditional methods.
AWS MLIntroducing Fast Model Loader in SageMaker Inference: Accelerate autoscaling for your Large Language Models (LLMs) – part 1
Accelerate autoscaling for large language models with Fast Model Loader in SageMaker Inference, reducing latency and improving resource utilization
AWS MLSupercharge your auto scaling for generative AI inference – Introducing Container Caching in SageMaker Inference
Introducing Container Caching in SageMaker Inference to supercharge auto scaling for generative AI models.
AWS MLUnlock cost savings with the new scale down to zero feature in SageMaker Inference
Optimize costs and manage resources in SageMaker Inference with the new scale down to zero feature.