NeuReality and IBM team up to develop AI inference platforms

NeuReality, an Israeli-based semiconductor company creating the next generation of AI-centred computing system architecture, has signed an agreement with IBM to develop the next generation of high-performance AI inference platforms. According to both companies, these platforms will deliver disruptive cost and power consumption improvements for deep learning use cases. This development follows NeuReality’s emergence from stealth earlier in February with an $8 million seed round to accelerate AI workloads at scale.

IBM and NeuReality claim this partnership will allow the deployment of computer vision, recommendation systems, Natural Language Processing, and other AI use cases by critical sectors like finance, insurance, healthcare, manufacturing, and smart cities. They also claim the agreement will accelerate deployments in today’s increasingly growing AI use cases, which are already deployed in public and private cloud datacenters.

Moshe Tanach, CEO, and cofounder of NeuReality, shared a broader view on the direction of this partnership with VentureBeat.

Delivering a new reality to datacenters and near edge compute solutions

According to Tanach, the company is excited and deeply satisfied to partner with a world-class multinational innovator like IBM. Speaking about what this collaboration means for NeuReality, Tanach said “We believe our collaboration is a vote of confidence for our AI-centric technology and architecture and in its potential to power real-life AI use cases with unprecedented deep learning capabilities.”

Neurality’s agreement with IBM involves NR1, the company’s first Server-on-a-Chip ASIC implementation of their revolutionary AI-centric architecture. Based on NeuReality’s first-generation FPGA-based NR1-P prototype platform introduced earlier this year, the NR1 is a high-performance, fully linear, scalable, network-attached device that provides services of AI workload processing. In much simpler terms, the NR1 solution targets cloud and enterprise datacenters, alongside carriers, telecom operators, and other near edge compute solutions — enabling them to deploy AI use cases more efficiently.

In line with NeuReality’s vision to make AI accessible to all, this development will remove the system bottlenecks of today’s solutions and provide disruptive cost and power consumption benefits for inference systems and services. This collaboration will ensure NeuReality’s already available FPGA-based NR1-P platform supports software integration and system-level validation prior to the availability of the NR1 production platform next year.

“Having the NR1-P FPGA platform available today allows us to develop IBM’s requirements and test them before the NR1 Server-on-a-Chip’s tape out. Being able to develop, test, and optimize complex datacenter distributed features, such as Kubernetes, networking, and security before production is the only way to deliver high quality to our customers. I am extremely proud of our engineering team who will deliver a new reality to datacenters and near edge solutions. This new reality will allow many new sectors to deploy AI use cases more efficiently than ever before,” Tanach added.

A marker of NeuReality’s continued momentum

According to Dr. Mukesh Khare, VP of Hybrid Cloud research at IBM Research, “In light of IBM’s vision to deliver the most advanced Hybrid Cloud and AI systems and services to our clients, teaming up with NeuReality, which brings a disruptive AI-centric approach to the table, is the type of industry collaboration we are looking for. The partnership with NeuReality is expected to drive a more streamlined and accessible AI infrastructure, which has the potential to enhance people’s lives.”

As part of the agreement, IBM becomes a design partner of NeuReality and will work on the product requirements for the NR1 chip, system, and SDK that will be implemented in the next revision of the architecture. Together the two companies will evaluate NeuReality’s products for use in IBM’s Hybrid Cloud, including AI use cases, system flows, virtualization, networking, security, and more.

Following NeuReality’s announcement of its first-of-a-kind AI-centric architecture back in February and its collaboration with Xilinx to deliver their new AI-centric FPGA-based NR1-P platforms to the market in September, this agreement with IBM marks the company’s upward trajectory and continued momentum.

NeuReality has competition in Cast AI, a technology company offering a platform that “allows developers to deploy, manage, and cost-optimize applications in multiple clouds simultaneously.” Some other competitors include, Upright Project, OctoML, Deci, and DeepCube. However, this partnership with IBM will see NeuReality become the first start-up semiconductor product member of the IBM Research AI Hardware Center and a licensee of the Center’s low-precision high-performance Digital AI Cores.


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