Third Ai
Computer Software, 3200 Southwest Fwy, Houston, Texas, 77027, United States, 11-50 Employees
Who is THIRDAI
THIRDAI: SQUEEZING MORE OUT OF CHIPS USING ALGORITHMS AND SOFTWARE INNOVATIONS. ThirdAI (pronunciation: /THrd i/ Third eye) is a cutting-edge Artificial intelligence startup carving scala...
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Headquarters: 3200 Southwest Fwy, Houston, Texas, 77027, United States
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Date Founded: 2021
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Employees: 11-50
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Revenue: $1 Million to $5 Million
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Active Tech Stack: See technologies
Industry: Computer Software
SIC Code: 7372
ThirdAI Org Chart and Mapping
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Frequently Asked Questions Regarding ThirdAI
Answer: ThirdAI's headquarters are located at 3200 Southwest Fwy, Houston, Texas, 77027, United States
Answer: ThirdAI's official website is https://thirdai.com
Answer: ThirdAI's revenue is $1 Million to $5 Million
Answer: ThirdAI's SIC: 7372
Answer: ThirdAI has 11-50 employees
Answer: ThirdAI is in Computer Software
Answer: ThirdAI contact info: Phone number: Website: https://thirdai.com
Answer: THIRDAI: SQUEEZING MORE OUT OF CHIPS USING ALGORITHMS AND SOFTWARE INNOVATIONS. ThirdAI (pronunciation: /THrd i/ Third eye) is a cutting-edge Artificial intelligence startup carving scalable and sustainable AI. UNIQUE APPROACH- ThirdAI accelerator builds hash-based processing algorithms for training and inference with neural networks. The technology is a result of 10 years of innovation in finding efficient (beyond tensor) mathematics for deep learning. Our algorithmic innovation has demonstrated how we can make Commodity x86 CPUs 15x or faster than most potent NVIDIA GPUs for training large neural networks. The demonstration has shaken the common knowledge prevailing in the AI community that specialized processors like GPUs are significantly superior to CPUs for training neural networks. Several media outlets echo our technological superiority: IEEE Spectrum describes, "What they report is stunning." Investorplace considers the algorithm one of the biggest threats to NVIDIA Stock (a $500 billion company). Engadget calls it a "Completely different approach to Deep Learning". A quote from WCCFTech says, "If an implementation of this algorithm is mainstreamed it would almost instantly disrupt the dynamics of the deep learning ecosystem. Valuations of companies could change overnight." Our innovation would not only benefit current AI training by shifting to lower-cost CPUs, but it should also allow the unlocking of AI training workloads on GPUs that were not previously feasible.
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