With the release of the second-generation MLSoC, SiMa.ai will unveil one software-centric platform for all edge AI. SiMa.ai's 'one platform for all edge AI' scales with customers as their AI/ML journey evolves, from computer vision, to transformers to multimodal generative AI.
The rapid proliferation of generative AI is simplifying the way we interact with AI/ML, namely through multimodal inputs such as text-to-speech, text-to-image, speech-to-text, speech-to-image, audio-to-image, image-to-image and image-to-video. Edge devices such as robots, drones, diagnostic machines, autonomous vehicles and more must be equipped to handle this new, more collaborative interface. The first-generation SiMa.ai MLSoC delivers industry leading performance and efficiency for vision-centric edge inference. Future generations will power and process any modality customers prefer with even greater performance and power efficiency. Uniquely designed to help customers capitalize on the opportunity that the shift of generative AI to the edge represents, SiMa.ai's MLSoC's unique fusion of hardware and software processes any model size or type on its silicon architecture.
'AI - particularly the rapid rise of generative AI - is fundamentally reshaping the way that humans and machines work together. Our customers are poised to benefit from giving sight, sound and speech to their edge devices, which is exactly what our next generation MLSoC is designed to do,' said
'The computational intensity of generative AI has precipitated a paradigm shift in data center architecture. The next phase in this evolution will be widespread adoption of AI at the edge. Just as the data center has been revolutionized, the edge computing landscape is poised for a complete transformation,' said
SiMa.ai MLSoC: One Software-Centric Platform for All Edge AI
The current generation of SiMa.ai's MLSoC consistently demonstrates embedded edge market leadership for performance and power efficiency, validated most recently by the MLCommons MLPerf Inference benchmark (4.0) results, where SiMa.ai competed in the Inference 4.0 closed, edge, power division category. SiMa.ai's best in class results in FPS/W in these benchmarks are a result of continuous innovation to MLSoC and Palette software to optimize end-to-end model execution and performance. For more detailed information about recent updates to Palette 1.2, which include expanded support for C++ and support for developing on Windows, read here.
Made possible by SiMa.ai's proprietary combination of silicon and software, the MLSoC adapts to any framework, any network, any model or sensor, and with the addition of Gen 2, any modality: audio, speech, text, image and more. SiMa.ai is poised to address customers' computer vision, transformer and multimodal generative AI needs all in one, software-centric platform.
Utilizing one platform for all edge AI, SiMa.ai customers will benefit from a range of high performance and power optimized AI/ML made available through multiple generations of the SiMa.ai MLSoC. For more information on SiMa.ai's one software-centric platform for all edge AI, please read
The second-generation SiMa.ai MLSoC includes innovations from Arm,
An Arm Cortex-A CPU, which is a key component of SiMa.ai's heterogeneous compute platform for overall application development. Arm's large, diverse software partner ecosystem further extends SiMa.ai's reach to customers with specialized use cases.
Synopsys EV74 Embedded Vision Processors, which enable critical pre-and-post processing in computer vision applications on a single chip.
TSMC's N6 technology, which offers further performance and power optimizations for MLSoC customers.
'As edge AI scales, the ecosystem is navigating growing software complexity and ever-increasing demand for AI performance, and is converging on Arm as the computing platform of choice from cloud to edge,' said
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'The first-time silicon success of SiMa.ai's first-generation MLSoC marks a significant milestone in our partnership, delivering an embedded edge ML platform with industry-leading performance and efficiency,' said
SiMa.ai Resources
SiMa.ai will be presenting at
Quick links on SiMa.ai:
Buy the SiMa.ai MLSoC Development Kit online
SiMa.ai recognized as an IDC innovator in AIML at the edge
SiMa.ai awarded as GSA's 2023 Startup to Watch
SiMa.ai partners with Supermicro
About SiMa.ai
SiMa.ai is the software-centric, embedded edge machine learning system-on-chip (MLSoC) company. SiMa.ai's hardware to software stack flexibly adjusts to any framework, network, model, sensor, or modality all in one platform. Edge ML applications that run completely on the SiMa.ai MLSoC see a tenfold increase in performance and energy efficiency, bringing higher fidelity intelligence to ML use cases spanning computer vision to generative AI, in minutes. With SiMa.ai, customers unlock new paths to revenue and significant cost savings to innovate at the edge across industrial manufacturing, retail, aerospace, defense, agriculture, and healthcare. SiMa.ai was founded in 2018, has raised
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