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VSORA's Tyr Superchip epitomizes high-performance capabilities tailored for the demanding worlds of autonomous driving and generative AI. With its advanced multi-core architecture, this superchip can execute any algorithm efficiently without relying on CUDA, which promotes versatility in AI deployment. Built to deliver a seamless combination of AI and general-purpose processing, the Tyr Superchip utilizes sparsity techniques, supporting quantization on-the-fly, which optimizes its performance for a wide array of computational tasks. The Tyr Superchip is distinctive for its ability to support the simultaneous execution of AI and DSP tasks, selectable on a layer-by-layer basis, which provides unparalleled flexibility in workload management. This flexibility is further complemented by its low latency and power-efficient design, boasting performance near theoretical maximums, with support for next-generation algorithms and software-defined vehicles (SDVs). Safety is prioritized with the implementation of ISO26262/ASIL-D features, making the Tyr Superchip an ideal solution for the automotive industry. Its hardware is designed to handle the computational load required for safe and efficient autonomous driving, and its programmability allows for ongoing adaptations to new automotive standards and innovations.
The Jotunn8 AI Accelerator by VSORA is a game-changing product in the realm of AI inference, designed to handle any algorithm on any host processor, offering unparalleled programmability. This AI accelerator provides a substantial 6,400 Tflops of performance using fp8 Tensor Cores and is highly adaptable for large language models like GPT-4, significantly reducing deployment costs to below $0.002 per query. Its architecture allows large-scale AI models to function efficiently, emphasizing low latency and minimized power consumption. Utilizing high-level programming, the Jotunn8 is algorithm-agnostic, meaning it can seamlessly process both AI and general-purpose tasks, chosen layer-by-layer. It is equipped with 192 GB of on-chip memory to support hefty data handling requirements, ensuring that substantial AI workloads can be managed effectively without reliance on external memory systems. This characteristic is crucial in overcoming the 'Memory Wall' challenge inherent in traditional computing setups. Designed for both cloud and on-premise applications, the Jotunn8’s peak power consumption is pegged at 180W, reinforcing its position as a high-performance yet energy-efficient solution. This AI accelerator provides a balance between energy efficiency and performance, making it an exemplary choice for environments demanding rapid AI deployment and execution.
The Tyr AI Processor Family from VSORA represents a versatile series of AI processors offering varied compute capabilities, finely tuned to meet the needs of any AI application, including breakthrough generative AI. Crafted to be completely CUDA-free, the Tyr processors offer flexibility by being algorithm-agnostic, which facilitates the deployment of AI models without being locked into specific computational paradigms. Each processor in this family offers a robust combination of cores and performance metrics, tailored for specific performance and power consumption needs. The family includes options ranging from Tyr1 to Tyr4, each optimized for different levels of computational demand. The Tyr4, for example, provides a stunning performance with 3,200 Tflops from fp8 Tensor Cores, while remaining energy efficient with a peak power consumption of just 60W. The Tyr family stands out due to its integrated safety elements compliant with ISO26262/ASIL-D standards, ensuring reliability for automotive applications. These processors are fully programmable, allowing developers the flexibility to implement high-level AI models quickly. Thanks to the innovative integration of AI and DSP processing on the same chip, VSORA ensures minimal latency, optimized power use, and impressive computational flexibility for advanced AI applications.
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