Generative AI, especially Large Language Models (LLMs), is rapidly moving from the data center to edge devices, driven by the need for greater business value, lower latency, and cost savings. Companies, including BrainChip, are leading innovation in making LLMs edge-compatible, using advanced techniques like model distillation to create efficient, deployable models.
At the same time, State-Space Models (SSMs)—a key strength of BrainChip’s TENNs technology—are gaining industry-wide recognition, with major players like NVIDIA and Tencent endorsing and advancing SSMs for generative AI at the edge. SSMs are increasingly seen as superior to traditional Transformers for these applications.
BrainChip has advanced its Akida Generation 2 platform, adding powerful new features to support a broader range of AI models and use cases. The company is actively commercializing its TENNs SSM technology, achieving milestones such as a win with the Air Force Research Labs and integration into space applications with Frontgrade-Geisler.
Strategic collaborations, such as a partnership with Onsor to enable seizure prediction glasses that use Akida, and proof-of-concept projects with industry leaders like Bascom Hunter, EDGX, Airbus, and Chelpis, hold the promise of blossoming into high-value engagements. Additionally, intensified efforts in winning U.S. government business, with several proposals submitted monthly, position Brainchip for greater success.
Before the next AGM, Brainchip's technical teams will achieve a groundbreaking milestone: the launch of the industry’s first AI hardware accelerator for State-Space Models (SSMs), coupled with a suite of TENNs models tailored to the most common use cases. A lot of work has already been done in this area, and a prototype has been demonstrated to potential customers. The prototype has shown unmatched performance, and further innovation will cement BrainChip’s differentiated leadership position in this market.
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