Amazon Web Services teases upcoming Trainium AI chip with 1000 Watt power – Liquid-cooled data centers in the works for next-gen AI chips

Amazon Web Services teases upcoming Trainium AI chip with 1000 Watt power – Liquid-cooled data centers in the works for next-gen AI chips

AWS is aiming to join the top players in AI computing by introducing their own Trainium3 AI chips. These chips could potentially consume over 1,000 watts of electricity, making them competitive with Nvidia’s Blackwell chips. It is important to note that specific power requirements for Trainium3 have not been confirmed yet, but AWS has hinted … Read more

Exploring the Potential of Productivity Agents with NinjaTech AI and AWS Trainium

Exploring the Potential of Productivity Agents with NinjaTech AI and AWS Trainium

NinjaTech AI has recently launched MiNinja.ai, a multi-agent AI personal assistant designed to handle complex tasks autonomously. The specialized agents within MiNinja.ai are capable of tasks such as scheduling meetings, conducting research, generating code, and assisting with writing. These agents can break down multi-step tasks, evaluate solutions dynamically, and learn from past experiences. This allows … Read more

AWS Trainium offers full LLM training on instance clusters of more than 100 nodes, end-to-end, using Amazon Web Services

AWS Trainium offers full LLM training on instance clusters of more than 100 nodes, end-to-end, using Amazon Web Services

The Llama family of large language models (LLMs) by Meta AI ranges from 7 billion to 70 billion parameters. Llama uses a transformers-based decoder-only model architecture, specializing in language token generation. Training Llama models from scratch requires trillions of tokens in a dataset. While popular, training Llama models can be technically challenging, time-consuming, and expensive. … Read more