There can be no doubt that artificial intelligence (AI) usage is growing at a rapid pace. Businesses continue to look for ways to automate processes and make operations more efficient. According to the IBM Global AI Adoption Index 2022, as of 2022, 35% of companies reported using AI in their business, and an additional 42% are exploring it.
To leverage and enhance artificial intelligence in their businesses, many trailblazers are turning to state-of-the-art hardware.
Habana(R) Labs is a technology company specializing in developing processors optimized for Deep Learning training and inference of large-scale models and the associated software to ease and speed up implementation.
One of the key advantages of Habana Labs technology is that it’s purpose-built for deep learning, enabling high-performance, high-efficiency, and easily scalable compute for on-premise and cloud deployments. These features stand out as the scale and complexity of model training and inference in industries such as healthcare, where timely, accurate, and efficient diagnoses are critical to patient outcomes.
By providing highly efficient and scalable AI processing solutions, Habana Labs is helping to advance the field of AI and make it more accessible to a wider range of industries and applications. Consider two factors that make Habana Labs ideal for the modern data center.
As deep learning and AI become more important in the business world, companies are looking for ways to improve performance and efficiency.
Traditionally, data centers have relied on graphics processing units to accelerate AI workloads, but these can be expensive and power-hungry. Habana Labs offers an alternative with their Gaudi processors (their lead product), which are more efficient and cost-effective for compute-hungry deep learning workloads.
The Gaudi DL processors are designed to accelerate the training and inference of deep learning models. Both processors offer excellent price/performance. However, the Gaudi2 processor, Habana’s second iteration, provides significant improvements over the first generation.
In addition to providing double the throughput on ResNet-50 and BERT, Gaudi processors can also help data centers save on power and cooling costs, which is a significant expense for large-scale data center operations. For example, recent tests have shown that the architecture delivers 40% better price performance on the AWS cloud. Additionally, processor cores and in-package memory have tripled from the first generation model — packing much more performance into the compact form factor.
Habana Labs has developed software tools to make it easier for developers to build and deploy AI applications. For example, the company’s SynapseAI(R) software platform provides a comprehensive suite of tools for managing the entire AI development process, from data preparation to model training and deployment.
Habana Labs end-to-end software stack includes compilers, drivers, and libraries to support the development and deployment of AI models on their processors. As a result, data centers can easily adopt and integrate these new technologies into their existing infrastructure.
A great way to visualize how Habana processors can benefit your business is by using Lab as a service (LaaS). LaaS is a cloud-based solution that allows users to access a fully functional lab environment from anywhere at any time. Equus’ LaaS solution leverages the Habana Gaudi2 processor, built specifically for deep learning training and inference. Our customers can thus experiment, test drive, and solve problems on the fly. Learn more about what Habana Gaudi could do for your business.