
Tsavorite Scalable Intelligence is revolutionizing enterprise AI with its innovative chiplet technology, enabling scalable and sustainable AI compute solutions. Their products include advanced robotics and multimodal inference systems, designed for high-performance applications such as streaming video intelligence. The company differentiates itself through power-efficient, supply chain optimized solutions that allow for intuitive software deployment without code changes. With a focus on interoperability and an open ecosystem, Tsavorite positions itself as a leader in the AI space, catering to enterprises looking to leverage AI at scale.

Tsavorite Scalable Intelligence is revolutionizing enterprise AI with its innovative chiplet technology, enabling scalable and sustainable AI compute solutions. Their products include advanced robotics and multimodal inference systems, designed for high-performance applications such as streaming video intelligence. The company differentiates itself through power-efficient, supply chain optimized solutions that allow for intuitive software deployment without code changes. With a focus on interoperability and an open ecosystem, Tsavorite positions itself as a leader in the AI space, catering to enterprises looking to leverage AI at scale.
Founded: 2023
Headquarters: Milpitas, California
Product focus: Chiplet-based Omni Processing Unit (OPU) and TAOS software stack for scalable AI compute
Recent funding: Series A announced Mar 7, 2025 (~$17.9M reported)
Employees (reported): 85
| Company |
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Scalable, power-efficient AI training and inference for enterprise deployments
2023
Data and Analytics
17900000
Reported on-list entries indicate a Series A announced March 7, 2025 for approximately $17.9M.
. Machine Learning Compiler -Senior Director / Director
Bangalore
Founded in 2023,by Industry veterans HQ in California,US
experience-18-25 years
Responsibilities: Develop and maintain compilers specifically designed for optimizing ML models. This
includes translating high-level ML model descriptions into efficient mapping to our hardware
architecture, optimizing for performance metrics such as flop utilization, memory bandwidth, and
memory capacity.
- Skills Required: Deep understanding of ML compiler design and optimization techniques, proficiency
in MLIR and programming languages like C/C++, in-depth knowledge of ML frameworks (PyTorch) and
Python.
Contact:
Uday
Mulya Technologies
muday_bhaskar@yahoo.com
"Mining The Knowledge Community"