Trainy
YC S23San Francisco, US · Founded 2023 · 3 employees · 1 known investors
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Niko Bonatsosunlockedknows Andrew Aikawa · together at Hive (overlapped)
×10knows the team · via University of California, Berkeley
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Trainy provides GPU infrastructure and orchestration software for AI teams, enabling distributed training job scheduling, experiment tracking, and inference deployment across multiple clouds and on-premises clusters. The platform reduces compute costs through automated workload scheduling, fault tolerance, and centralized visibility into GPU usage and pricing.
Also known as AB Labs
AI & Machine LearningCloud ComputingDeveloper ToolsEnterprise SoftwareSaaSMachine LearningInfrastructureUnited States of AmericaAmerica / CanadaFully Remote
Founders & leadership· Y Combinator alumni (S23)
Trainy was founded in 2023 by Roanak Baviskar and Andrew Aikawa.
RB
Roanak BaviskarinCo-Founder & CEORoanak Baviskar studied computer science and mathematics at UC Santa Cruz and led the audio team at Hive AI, where he worked on large-scale model training and deployment.
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Andrew AikawainCo-Founder, CTOHe previously worked as a lead machine learning engineer at Hive AI on object detection systems, and holds a Ph.D. in physics from UC Berkeley focused on computer vision applications in nanoscience, along with a B.A. in physics and computer science from UC Berkeley.
Investors · 1
Competitors · 8
by search overlapNVIDIA18 shared keywordsNVIDIA designs GPUs, AI computing hardware, and software platforms for AI development, data centers, autonomous vehicles, and robotics, serving developers, researchers, and enterprises. Its offerings include AI models, power architecture for AI factories, and compute infrastructure used across industries such as manufacturing, healthcare, and automotive.
Rafay13 shared keywordsRafay builds infrastructure orchestration and workflow automation software for self-service compute consumption across GPU and CPU environments. The platform serves sovereign AI clouds, cloud service providers, and large enterprises seeking better kubernetes and AI workload management.
Modal13 shared keywordsModal provides a cloud platform that lets developers define compute, hardware, and application logic in Python and deploy to the cloud, with fast-booting containers and autoscaling GPUs. It targets AI and ML workloads such as inference, model training, and large-scale parallel processing.
Alluxio12 shared keywordsAlluxio provides an AI acceleration platform that optimizes data access and GPU utilization for AI and data platform teams across hybrid and multi-cloud environments. The platform addresses performance, scalability, and infrastructure cost challenges for organizations running large-scale data and AI workloads.
Lakefs11 shared keywordslakeFS provides a data version control and control-plane layer that sits between object storage and the tools, users, and AI agents that work on petabyte-scale multimodal data, offering Git-like branches, commits, and rollbacks without copying data. It targets enterprise ML platform, data engineering, and agentic AI teams that need reproducible, governed, and auditable access to images, video, audio, logs, JSON, and table formats.
Hyperbolic8 shared keywordsHyperbolic operates an AI cloud platform that provides developers and researchers with affordable access to GPU compute and open-source AI models by tapping underutilized hardware. It targets developers, startups, and research teams needing scalable infrastructure for AI/ML development.
Mirantis8 shared keywordsMirantis provides infrastructure automation software and GPU-based cloud services for multi-cluster, hybrid multicloud, and workload migration environments. The company serves enterprises and government organizations seeking unified infrastructure management from physical hardware to AI applications.
CoreWeave7 shared keywordsCoreWeave operates an AI-native cloud platform built to run large-scale AI workloads, combining GPU infrastructure, tooling, and support. It targets organizations developing and deploying complex AI models.
Companies competing with Trainy for the same Google search keywords, organic and paid, via search-intersection analysis.
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Frequently asked questions
- What does Trainy do?
- Trainy provides GPU infrastructure and orchestration software for AI teams, enabling distributed training job scheduling, experiment tracking, and inference deployment across multiple clouds and on-premises clusters. The platform reduces compute costs through automated workload scheduling, fault tolerance, and centralized visibility into GPU usage and pricing.
- Who founded Trainy?
- Trainy was founded by Roanak Baviskar, Andrew Aikawa in 2023.
- Who are Trainy's investors?
- Trainy's investors include Y Combinator.
- Where is Trainy headquartered?
- Trainy is headquartered in San Francisco, US.