YYotta Labs builds a GPU cloud and AI runtime platform that enables AI training and inference across NVIDIA GPUs, AMD GPUs, and AWS Trainium/Inferentia chips. It provides on-demand elastic compute via pods and virtual machines that deploy in seconds on pay-as-you-go pricing, with automatic scaling; additional offerings include serverless deployment, an AI Gateway that routes requests across multiple model providers, and model quantization for faster inference. It differentiates itself by supporting heterogeneous hardware, offering potentially lower costs (claimed up to 80% cheaper than AWS), and providing centralized management with SOC 2-aligned security, plus a unified API for cross-region deployment. Its goal is to deliver a flexible, cost-effective, and scalable AI infrastructure that lets customers train and run inference efficiently across diverse hardware.
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Industries
Company Size
1-10
Company Stage
Grant
Total Funding
$300K
Headquarters
Bellevue, WA
Founded
2024
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Total Funding
$300k
Above
Industry Average
Funded Over
1 Rounds
The project will develop its Decentralized AI Computing OS, designed to enable efficient AI workload on geo-distributed, heterogeneous computing resources.
Yotta Labs, builders of the Decentralized Operating System (DeOS) for AI, has partnered with Walrus to deliver high-performance, decentralized storage that reduces overhead for AI workloads and provides seamless, cost-effective data management for Yotta users.
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Industries
Company Size
1-10
Company Stage
Grant
Total Funding
$300K
Headquarters
Bellevue, WA
Founded
2024
Find jobs on Simplify and start your career today
Don't see your dream role? Check out thousands of other roles on Simplify.Browse all jobs