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Skymizer

Skymizer specializes in compiler and virtual machine technologies, offering a comprehensive AI system development environment tailored for evolving technological landscapes. Their products are designed to streamline the integration of AI applications, improving system performance and enhancing inference accuracy. From start kits to turn-key solutions, their offerings facilitate a seamless transition into the AI domain, particularly for those looking to harness the power of on-device AI accelerators. The company is at the forefront of innovations, particularly in automating AI application development. With a keen focus on leveraging system software solutions, Skymizer empowers AI-on-chip design houses by accelerating application development, improving system performance, and optimizing precision throughout the inference process. Their adept use of compilers and virtual machines allows companies to adapt AI SoC to rapidly changing applications by converting algorithms into efficient machine code. Moreover, Skymizer is committed to enabling technology growth at the edge, where inference and fine-tuning are poised for significant expansion. They focus on delivering efficient and cost-effective solutions that prioritize security, speed, and personalization. With their dedication to improving AI ecosystem utilities, Skymizer remains a valuable player in developing future-forward AI solutions. Read more

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4
IPs available

Calibrator for AI-on-Chips

The Calibrator is a precision tool for AI System-on-Chips, utilizing architecture-aware quantization through post-training methods. It maximizes accuracy in fixed-point systems like INT8 by accommodating varying bit-width architectures. The Calibrator also supports multiple data path engines, ensuring its versatility across different hardware. Its advanced workflow leverages entropy calculation policies to maintain high precision without altering the network model topology, thus effectively bridging the gap with quantization-aware training scripts.

Skymizer
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ONNC Compiler

The ONNC Compiler is an advanced suite of C++ libraries designed to enhance the efficiency of deep learning accelerators. It facilitates the transformation of neural networks into distinct machine instructions, optimizing across varying architectures from simple single-core systems to complex multicore systems with layered memory hierarchies. Supporting prominent frameworks such as PyTorch and TensorFlow, the compiler ensures seamless integration for a wide array of AI systems, particularly those focusing on heterogeneous multicore designs.

Skymizer
AI Processor, AMBA AHB / APB/ AXI, Building Blocks, CPU, Multiprocessor / DSP, Processor Core Dependent, Processor Core Independent, Processor Cores, Security Protocol Accelerators
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Forest Runtime

Forest Runtime is designed to execute compiled neural network models seamlessly across diverse hardware platforms. Offering C++ APIs compatible with C and Python bindings, it caters to a wide range of AI applications. This runtime is modular and retargetable, making it adaptable for platforms from data centers to mobile and TinyML devices. Notable for its novel 'hot batching' technology, Forest Runtime flexibly alters batch sizes and input shapes during runtime, without needing compiler transformation, significantly speeding up processing times.

Skymizer
AI Processor, Multiprocessor / DSP, Processor Core Dependent, Processor Core Independent
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HyperThought

HyperThought accelerates large language models with unparalleled efficiency suitable for multimodal applications requiring intense computational capacity. Featuring innovative compression techniques that diminish memory requisites and boost throughput, this IP offers security-hardened interactions through the integration of LISA v3 architecture. Its scalable multicore design capitalizes on high-speed processing capabilities, accommodating both modest and extensive model requirements across various industry settings.

Skymizer
AI Processor, Processor Core Independent
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