NinjaTech AI collaborates with AWS to launch its new personal AI agents in Palo Alto, USA.
Takeaway Points
- NinjaTech AI collaborates with AWS to launch its new personal AI agents.
- NinjaTech AI is using Amazon Web Services’ (AWS) purpose-built machine learning (ML) chips Trainium and Inferentia2 and Amazon SageMaker, a cloud-based machine learning service, to build, train, and scale custom AI agents that can handle complex tasks.
- By using AWS cloud capabilities, Ninja can conduct multiple tasks at the same time.
NinjaTech and AWS collaborate
NinjaTech AI, a Silicon Valley-based generative AI company, announced on Tuesday that it has collaborated with AWS to launch its new personal AI, Ninja, an evolution beyond AI assistants and co-pilots to autonomous agents, in Palo Alto, USA.
NinjaTech AI is using Amazon Web Services’ (AWS) purpose-built machine learning (ML) chips Trainium and Inferentia2, and Amazon SageMaker, a cloud-based machine learning service, to build, train, and scale custom AI agents that can handle complex tasks such as conducting research and scheduling meetings, according to the report.
Babak Pahlavan, founder and CEO of NinjaTech AI, said in a comment that working with AWs is a game-changer for the company.
“Working with AWS’s Annapurna Labs has been a genuine game-changer for NinjaTech AI. The power and flexibility of Trainium & Inferentia2 chips for our reinforcement-learning AI agents far exceeded our expectations: They integrate easily and can elastically scale to thousands of nodes via Amazon SageMaker. These next-generation AWS-designed chips natively support the larger 70B variants of the latest popular open-source models like Llama 3, while saving us up to 80% in total costs and giving us 60% more energy efficiency compared to similar GPUs. In addition to the technology itself, the collaborative technical support from the AWS team has made an enormous difference as we build deep tech,” stated Pahlavan.
Pahlavan added, saying that “Our collaboration with AWS has been critical to accelerating our ability to develop a truly novel generative AI-based planner and action engine, which are vital to building state-of-the-art AI agents. Because we needed the most elastic and highest-performing chips with incredible accuracy and speed, our decision to train and deploy Ninja on Trainium and Inferentia2 chips made perfect sense,” added Pahlavan. “Every generative AI company should be considering AWS if they want access to on-demand AI chips with incredible flexibility and speed.”
Gadi Hutt, senior director of Annapurna Labs at AWS, said that AI agents are changing the way people do things now.
“AI agents are rapidly emerging as the next generation of productivity tools that will transform how we work, collaborate, and learn. NinjaTech AI has enabled fast, accurate, and cost-effective agents that customers can quickly scale using AWS Trainium and Inferentia2 AI chips. We’re excited to help the NinjaTech AI team bring autonomous agents to the market, while also advancing AWS’s commitment to empower open-source ML and popular frameworks like PyTorch and Jax,” Gadi said.
What are the benefits of the collaboration?
AWS said that by using its cloud capabilities, Ninja can conduct multiple tasks at the same time, meaning users can assign new tasks without waiting for existing tasks to be completed.
According to the report, starting today, users can access Ninja by visiting myninja.ai, and Ninja offers four conversational AI agents capable of doing multi-step, real-time web research, scheduling meetings with internal and external parties via email, helping out with coding tasks, as well as drafting emails and giving advice.
About NinjaTech AI
NinjaTech AI is a Silicon Valley-based company building next-generation custom AI agents designed to autonomously take over complex tasks. NinjaTech AI recently launched a personal AI product named Ninja that has four AI agents capable of scheduling meetings, conducting research, providing advice, and helping developers by offering suggestions and by debugging their code. Spinning out of SRI in late 2022, the founding team has over 30 years of combined AI experience with leaders from companies like Google, AWS, and Meta.
