{"author":{"name":"Hazim Qudah","slug":"hazim-qudah","article_count":1,"latest_published_at":"2026-04-21T17:23:59.755+00:00","profile_url":"https://vff.ai/authors/hazim-qudah","api_url":"https://vff.ai/api/authors/hazim-qudah"},"articles":[{"slug":"accelerate-generative-ai-inference-on-amazon-sagemaker-ai-with-g7e-instances","title":"AWS Launches G7e GPU Instances for Cheaper Large Model Inference","url":"https://vff.ai/article/2026/04/21/accelerate-generative-ai-inference-on-amazon-sagemaker-ai-with-g7e-instances","content_type":"model_release","summary":"AWS has launched G7e instances on Amazon SageMaker AI, powered by NVIDIA RTX PRO 6000 Blackwell GPUs with 96 GB of GDDR7 memory per GPU. The instances deliver up to 2.3x inference performance compared to previous-generation G6e instances and support configurations from 1 to 8 GPUs, enabling deployment of large language models up to 300B parameters on the largest 8-GPU node. This represents a significant upgrade in memory bandwidth, networking throughput, and model capacity for generative AI inference workloads.","published_at":"2026-04-21T17:23:59.755+00:00","updated_at":"2026-04-22T00:59:04.768177+00:00","source":{"url":"https://aws.amazon.com/blogs/machine-learning/accelerate-generative-ai-inference-on-amazon-sagemaker-ai-with-g7e-instances/","name":"AWS Machine Learning Blog"},"featured_image":{"url":"https://news.tokenring.ai/wp-content/uploads/2026/01/37a2937e-c459-432e-be4d-0d6e92e6c22c-1024x683.png","alt":null},"categories":[{"name":"AI Hardware","slug":"ai-hardware"},{"name":"Infrastructure","slug":"infrastructure"},{"name":"Generative AI","slug":"generative-ai"}]}]}