The AI Hardware & Edge AI Summit is a premier event that brings together industry leaders, innovators, and developers to explore the latest advancements in AI hardware, edge AI, and semiconductor technologies. As the line between humans and machines blurs, the demand for innovative AI solutions is greater than ever. In this article, we will provide an overview of the Edge AI Summit 2024, highlighting the key trends, companies, and breakthroughs that will shape the future of AI innovation.

InsideAI News: Media Partner for AI Hardware & Edge AI Summit

We are pleased to announce that we are a Media Partner for the upcoming AI Hardware & Edge AI Summit, happening from September 9th to 12th, 2024, in San Jose, California. As Editor-in-Chief & Resident Data Scientist, Daniel D. Gutierrez will be attending the summit in-person to keep a pulse on this advancing industry. He will be conducting interviews with some of the movers and shakers from the AI industry ecosystem.

What is the AI Hardware & Edge AI Summit?

The AI Hardware & Edge AI Summit is the ultimate destination for the entire AI and ML ecosystem, with a collaborative mission to train, deploy, and scale machine learning systems that are fast, affordable, and efficient. The summit will bring together over 1,200 likeminded people to explore the latest advancements in AI hardware, edge AI, and semiconductor technologies.

Featured Companies

At the AI Hardware & Edge AI Summit, we will highlight a number of companies from the AI industry vendor ecosystem. Below, you will find a short description of each of these compelling companies:

Amazon Web Services (AWS)

Amazon Web Services (AWS) offers a variety of services to help businesses use artificial intelligence (AI) and machine learning (ML) to build, run, and integrate solutions. AWS services can help with use cases like application development, natural language processing, and AI-generated content.

AMD

Advanced Micro Devices (AMD) is a technology provider that offers a range of AI solutions for a variety of industries, including automotive, healthcare, industrial, and telecommunications. AMD’s AI solutions are designed for workloads such as large-scale model training, real-time inferencing, video analytics, recommendation engines, and immersive gaming experiences.

Ayar Labs

Ayar Labs develops optical I/O solutions to address data bottlenecks in AI systems. Their goal is to maximize the performance and compute efficiency of AI infrastructure while reducing costs, latency, and power consumption. Ayar Labs’ solutions include: TeraPHY optical I/O chiplets and SuperNova remote light source.

Blaize

Blaize is a leader in Edge AI computing, offering a transformative architecture for hardware and software advancing AI solutions for automotive, industrial, smart metro, smart retail, and security markets. By innovating advances in energy efficiency, flexibility, and usability, Blaize enables developers to innovate new classes of products to bring the benefits of AI and machine learning to a broad range of use cases.

BrainChip

BrainChip is a leader in edge AI on-chip processing and learning. The company’s first-to-market convolutional, neuromorphic processor, AkidaTM, mimics the event-based processing method of the human brain in digital technology to classify sensor data at the point of acquisition, processing data with unparalleled energy-efficiency and independent of the CPU or MCU with high precision.

Dell Technologies

Dell Technologies helps organizations and individuals build their digital future and transform how they work, live, and play. The company provides customers with the industry’s broadest and most innovative technology and services portfolio for the AI era. Dell provides technologies that accelerate and simplify AI adoption along with PCs, Dell APEX, Multicloud, and Edge solutions that transform ideas into action.

D-Matrix

D-Matrix is a Santa Clara-based AI-processor startup that develops chips for generative AI and large language models. Their chips use digital in-memory computing (IMC) to run Transformer-based inference models and address bandwidth and latency constraints.

EdgeCortix

EdgeCortix is a company that has developed an AI inference engine that runs on a heterogeneous architecture. The company has designed its own ASIC chip, called the EdgeCortix-100, which is optimized for low power and high performance. The chip is designed for use in edge AI applications such as computer vision and natural language processing.

Lemurian Labs

Lemurian Labs is a company that is focused on delivering affordable, accessible, and efficient AI computers. The company’s approach makes it possible for organizations of any size to equally benefit from the transformative potential of AI.

Lightning AI

Lightning AI is an all-in-one platform for AI development. Code together. Prototype. Train. Scale. Serve. From your browser – with zero setup. From the creators of PyTorch Lightning.

Nscale

Nscale’s GPU cloud platform is engineered for the demands of AI, offering high-performance compute optimized for training, fine-tuning, and intensive workloads. From its data centers to software stack, Nscale is vertically integrated in Europe to provide unparalleled performance, efficiency, and sustainability.

Positron

Positron delivers vendor freedom and faster inference for both enterprises and research teams, by allowing them to use hardware and software explicitly designed from the ground up for generative and large language models (LLMs). Through lower power usage and drastically lower total cost of ownership (TCO), Positron enables you to run popular open-source LLMs to serve multiple users at high token rates and long context lengths.

Rebellions

Rebellions is the software-centric, embedded edge machine learning system-on-chip (MLSoC) company. Rebellions delivers one platform for all edge AI that flexibly adjusts to any framework, network, model, sensor, or modality. Edge ML applications that run completely on the Rebellions MLSoC see a tenfold increase in performance and energy efficiency, bringing higher fidelity intelligence to ML use cases spanning computer vision to generative AI.

Recogni

Recogni designs and builds multimodal GenAI inference systems for data centers. Recogni’s systems are powered by Pareto, the logarithmic math number system that supports AI inferencing at data center scale.

SambaNova

SambaNova is a computing startup focused on building the industry’s most advanced systems platform to run AI applications from the data center to the edge.

SiMa.ai

SiMa.ai is the software-centric, embedded edge machine learning system-on-chip (MLSoC) company. SiMa.ai delivers one platform for all edge AI that flexibly adjusts to any framework, network, model, sensor, or modality.

Hitachi Ventures

Hitachi Ventures has been exploring agentic AI infrastructure and applications, even experimenting with building its own task management and summarization agents.

Conclusion

In conclusion, the AI Hardware & Edge AI Summit will bring together industry leaders, innovators, and developers to explore the latest advancements in AI hardware, edge AI, and semiconductor technologies. With over 1,200 attendees expected, this is an event you won’t want to miss.

Frequently Asked Questions

Question 1: What is the AI Hardware & Edge AI Summit?

The AI Hardware & Edge AI Summit is a premier event that brings together industry leaders, innovators, and developers to explore the latest advancements in AI hardware, edge AI, and semiconductor technologies.

Question 2: What are the highlights of the summit?

The summit will feature industry-leading keynotes, breakout sessions, and networking opportunities. It will also include a showcase of the latest AI hardware and edge AI solutions from leading companies in the industry.

Question 3: Who are the speakers at the summit?

The summit will feature speakers from leading companies in the AI industry, including AMD, Amazon Web Services, Blaize, and many more. The speakers will share their insights and expertise on the latest advancements in AI hardware, edge AI, and semiconductor technologies.

Question 4: What is the target audience for the summit?

The target audience for the summit is industry professionals, innovators, and developers who are interested in AI hardware, edge AI, and semiconductor technologies.

Question 5: How can I register for the summit?

You can register for the summit by visiting the official website and following the registration process. Early registration is recommended, as seats are limited.