This post is written by Paul Tran, Senior Specialist SA; Asif Mujawar, Specialist SA Leader; Abdullatif AlRashdan, Specialist SA; and Shivagami Gugan, Enterprise Technologist. Technology Innovation Institute (TII) has developed… Article Source https://aws.amazon.com/blogs/compute/learn-how-to-deploy-falcon-2-11b-on-amazon-ec2-c7i-instances-for-model-inference/
Elastic, a search AI company, has announced its support for the Amazon Bedrock models hosted on Elasticsearch Open Inference API and Playground. This new integration allows developers to use any large language model (LLM) available on Amazon Bedrock to create production-ready RAG applications. Shay Banon, the founder and CTO of Elastic, stated that this integration … Read more
Amazon SageMaker has introduced a new inference optimization toolkit to enhance the performance of generative AI models. This toolkit offers various optimization techniques such as speculative decoding, quantization, and compilation, which can lead to significant cost reductions and improved throughput for models like Llama 3, Mistral, and Mixtral. By utilizing these techniques, users can achieve … Read more
Businesses are increasingly relying on generative artificial intelligence (AI) inference to enhance their operations. To address the need for scaling AI operations and integrating AI models, model optimization has emerged as a vital step for balancing cost-effectiveness and responsiveness. Different use cases require varying price and performance considerations, with chat applications focusing on minimizing latency … Read more
Hewlett Packard Enterprise (HPE) has recently made a significant acquisition, purchasing Juniper Networks for $14 billion. This move has positioned HPE as a key player in the networking and telecommunications industries. With this acquisition, HPE is now focusing on expanding its presence in the growing market for artificial intelligence (AI) “inference” sales. AI inference refers … Read more
PyTorch 2.0 introduced torch.compile to accelerate PyTorch code compared to the default eager mode, resulting in up to 2 times better performance for Hugging Face Model inference and up to 1.35 times better performance for Torch bank Model inference on various models on AWS Graviton3. AWS optimized PyTorch’s Torch.compile function for Graviton3 to achieve these … Read more
AMD’s latest AI GPU flagship, the MI300X, competes with NVIDIA’s H100 and upcoming H200 with rumors of the MI325X, MI350, and MI400 models. Tests by Chips and Cheese found that the MI300X often outperforms the H100 in low and AI tiers, with impressive cache performance due to its unique architecture. The MI300X’s cDNA 3 architecture … Read more
Generative AI applications have become increasingly popular in recent years, with demands for more efficient implementations rising. One key factor in achieving this efficiency is choosing the right CPU for the task. One approach that has gained attention is the use of the RAG framework, which stands for Retrieve, Aggregate, and Generate. This framework allows … Read more
In recent years, advancements in large language models (LLMs) have improved chatbots’ ability to understand customer queries effectively. However, the high cost and slow delivery of services using LLMs have hindered their widespread adoption. To address these challenges, researchers have developed speculative decoding, an optimization technique that accelerates AI inference, reducing latency and improving customer … Read more