| Page 232 | Kisaco Research
 

Salam Al Mosawi

SVP Growth
Nscale

Salam Al Mosawi

SVP Growth
Nscale

Salam Al Mosawi

SVP Growth
Nscale
 

Salam Al Mosawi

SVP Growth
Nscale

Salam Al Mosawi

SVP Growth
Nscale

Salam Al Mosawi

SVP Growth
Nscale
 

Salam Al Mosawi

SVP Growth
Nscale

Salam Al Mosawi

SVP Growth
Nscale

Salam Al Mosawi

SVP Growth
Nscale
Matthew Burns Technical Marketing Manager Samtec

SAPEON - AIHW US

The best part of this event is that you have all the AI hardware companies there and their potential customers are giving presentations on what their requirements are and what they see happening for AI use cases in the next 5 years.  

Alphawave Semi - AIHW US

The AI Hardware & Edge AI Summit is a great place to find like-minded companies, engineers, and businesspeople who are all focused specifically on the solving the unique and exponentially growing challenges of the new AI era.

Arm - AIHW US

Excellent event with diverse presenters on both training and inference. Many companies represented in the HW design and deployment as well discussions and solutions for LLM, and deep learning. Networking and interactions were great and it was good to catch up with friends in the industry. Very exciting times and progress made in the last few years. I recommend it.

Intel - AIHW

The event brings a unique scope which is Edge AI from HW and SW perspective showing how convergence between HW and SW is key for scalable AI. The event also shows a holistic scope successful deployment of scalable AI from HW perspective (Chips for AI, connectivity for AI, infrastructure for AI, and AI for Chips) and from SW perspective (models optimization, open models, models compression, SW frameworks for AI, SDKs for models optimization). 

Intel - AIHW

The event brings a unique scope which is Edge AI from HW and SW perspective showing how convergence between HW and SW is key for scalable AI. The event also shows a holistic scope successful deployment of scalable AI from HW perspective (Chips for AI, connectivity for AI, infrastructure for AI, and AI for Chips) and from SW perspective (models optimization, open models, models compression, SW frameworks for AI, SDKs for models optimization).