AI-based edge computing is powering a range of innovation in areas such as IoT, autonomous vehicles and medical equipment, and Blaize’s hardware and software are meeting this demand for low-latency, energy efficient, near-instant computing.
In today’s technology environment, there’s a tremendous demand for artificial intelligence applications at the edge. A range of applications, from IoT devices to autonomous vehicles to medical equipment, require near-instant data processing. Cars barreling down the road do not have time to send data back and forth to the cloud but instead need to process data and make life-and-death decisions in real time.
Blaize addresses the exploding demand for edge computing by empowering AI applications in the physical world. By providing full-stack hardware and software designed to enable faster and more efficient AI processing, Blaize is well-suited to smaller AI models that operate at the edge. Blaize is the first to the market with a fully integrated no-code software and tooling approach, which enables customers to reduce their time to market.
Today’s Fourth Industrial Revolution is transforming industries and society through a range of advanced technologies, greater connectivity, personalization and data-driven insights. One major aspect of this new era is the use of advanced technologies at the edge. These technologies depend on specialized AI chips and edge computing.
Inference at the edge is at the core of Blaize’s DNA. Blaize makes this happen through advanced energy efficiency and lower power consumption with an architecture designed for efficient AI that helps Blaize stand apart. AI at the edge also supports security and privacy by enabling customers’ data to stay at the edge, not in the cloud.
Blaize’s silicon chips in the market support customers across all market verticals. One current major focus is on vision applications, such as those in security and monitoring. Additionally, Blaize is well-positioned to support emerging edge AI use cases across enterprises and autonomous systems.
Looking ahead, Blaize’s next-generation chip will address emerging enterprise edge AI cases, including inference in edge servers. Blaize is also working with its automotive investors to develop autonomous systems solutions and expects to qualify for an auto-grade chip to enable autonomous vehicles shortly.
With the tremendous growth of power-hungry AI systems and GPU servers, making data centers of all sizes run more efficiently is imperative to meet sustainability goals. Data centers are estimated to consume up to 3% of global electricity today, growing to 4% by 2030. The market needs alternative architecture to deliver more compute density and do the same job more efficiently.
Blaize is helping mitigate those challenges, providing a more sustainable alternative to reduce the energy demands of AI and data centers by prioritizing efficiency without compromising performance, assisting organizations to take meaningful steps toward lowering the energy consumption of AI systems.
In terms of the human side of AI, increasing access to technology and opportunity is critical. As a result, Blaize focuses on democratizing AI with large investments in tools and software that promote upskilling and reskilling data citizens.
In the coming years, edge computing powered by AI will become a standard for many applications across business and society bringing tremendous advances to everyday life and work. To enable these applications to operate, the latest hardware and software will be needed to run with low latency, with low energy and powerful processing.
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