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The Tyr Superchip is engineered to tackle the most daunting computational challenges in edge AI, autonomous driving, and decentralized AIoT applications. It merges AI and DSP functionalities into a single, unified processing unit capable of real-time data management and processing. This all-encompassing chip solution handles vast amounts of sensor data necessary for complete autonomous driving and supports rapid AI computing at the edge. One of the key challenges it addresses is providing massive compute power combined with low-latency outputs, achieving what traditional architectures cannot in terms of energy efficiency and speed. Tyr chips are surrounded by robust safety protocols, being ISO26262 and ASIL-D ready, making them ideally suited for the critical standards required in automotive systems. Designed with high programmability, the Tyr Superchip accommodates the fast-evolving needs of AI algorithms and supports modern software-defined vehicles. Its low power consumption, under 50W for higher-end tasks, paired with a small silicon footprint, ensures it meets eco-friendly demands while staying cost-effective. VSORA’s Superchip is a testament to their innovative prowess, promising unmatched efficiency in processing real-time data streams. By providing both power and processing agility, it effectively supports the future of mobility and AI-driven automation, reinforcing VSORA’s position as a forward-thinking leader in semiconductor technology.
The Jotunn8 is engineered to redefine performance standards for AI datacenter inference, supporting prominent large language models. Standing as a fully programmable and algorithm-agnostic tool, it supports any algorithm, any host processor, and can execute generative AI like GPT-4 or Llama3 with unparalleled efficiency. The system excels in delivering cost-effective solutions, offering high throughput up to 3.2 petaflops (dense) without relying on CUDA, thus simplifying scalability and deployment. Optimized for cloud and on-premise configurations, Jotunn8 ensures maximum utility by integrating 16 cores and a high-level programming interface. Its innovative architecture addresses conventional processing bottlenecks, allowing constant data availability at each processing unit. With the potential to operate large and complex models at reduced query costs, this accelerator maintains performance while consuming less power, making it the preferred choice for advanced AI tasks. The Jotunn8's hardware extends beyond AI-specific applications to general processing (GP) functionalities, showcasing its agility. By automatically selecting the most suitable processing paths layer-by-layer, it optimizes both latency and power consumption. This provides its users with a flexible platform that supports the deployment of vast AI models under efficient resource utilization strategies. This product's configuration includes power peak consumption of 180W and an impressive 192 GB on-chip memory, accommodating sophisticated AI workloads with ease. It aligns closely with theoretical limits for implementation efficiency, accentuating VSORA's commitment to high-performance computational capabilities.
The Tyr AI Processor Family is a versatile line of high-performance chips designed to facilitate cutting-edge AI and autonomous vehicle applications. The family incorporates advanced scheduling and core management, allowing it to exceed standards in computational efficiency and power utilization. Capable of executing both AI and general-purpose processing tasks, Tyr chips can adapt to diverse computing needs without dependence on specific host processors. The design incorporates a multi-core architecture, enabling tiered performance capabilities – from entry-level to high-performance output. This makes the processors suitable for scaling applications from development to full deployment across various markets including automotive and industrial processing environments. Notably, Tyr processors emphasize seamless programmability using high-level coding, which allows straightforward incorporation of new AI models. Tyr’s commitment to low power consumption is evident in its technical configuration, which features a peak power consumption ranging from 10W to 60W, depending on the specific model. This, along with its modularity, ensures minimal environmental impact while achieving maximum computational output, fulfilling the growing demand for sustainable AI technology. In terms of architecture, the Tyr family supports any AI algorithm across a multitude of host processors, reflecting VSORA's vision for adaptable technology. This flexibility is crucial for handling real-time AI applications in dynamic domains like next-generation vehicular automation and intelligent systems design.
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