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Accelerating AI Infrastructure. TensorQ is pioneering a new category in AI optimization: a lossless compute compression layer that enhances performance at the core of modern AI workloads. As AI systems scale, compute efficiency has become a defining constraint. TensorQ operates at the kernel level to increase throughput-per-GPU, reduce latency, and improve cost-per-token - without requiring changes to models, infrastructure, or hardware, and without accuracy tradeoffs. Our drop-in software solution integrates seamlessly across GPUs and custom silicon, enabling AI infrastructure providers, LLM builders, GPUaaS / neo-cloud platforms, and enterprises to extract significantly greater value from existing infrastructure. TensorQ is building the acceleration layer for next-generation AI infrastructure, where performance, efficiency, and economics converge.

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Alla Likhtenshtein is the Vice President of Business Development of TensorQ.

7 people are employed at TensorQ.

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