RiseML is a technology company.
RiseML has raised $910K across 1 funding round.
RiseML has raised $910K in total across 1 funding round.
RiseML has raised $910K in total across 1 funding round.
RiseML's investors include AngelList Syndicator, Atlantic Labs, Balderton Capital, Cherry Ventures, Fathom Capital, FJ Labs, Gotham Gal Ventures, Kearny Jackson, Kleiner Perkins, Mango Capital, Mosaic Ventures, Nokia Growth Partners.
RiseML is a technology company that developed an open source deep learning platform for Kubernetes, enabling machine learning teams to treat individual GPU servers as a single compute cluster and share resources for training models.[3][4][6] It primarily serves ML engineers and data scientists working on distributed training workloads, solving the problem of fragmented GPU resources in Kubernetes environments by simplifying cluster management and resource pooling.[4][6] The platform gained early recognition by joining the Cloud Native Computing Foundation (CNCF) in 2018 among 178 members, highlighting its momentum in the cloud-native ML space, though recent activity appears limited based on available data.[4]
RiseML emerged in the mid-2010s amid the rise of Kubernetes and the need for scalable deep learning infrastructure, positioning itself as a solution for GPU orchestration in containerized environments.[4][6] Specific founders are not detailed in available sources, but the company quickly achieved pivotal traction by becoming a CNCF member in March 2018, alongside prominent players like Nasdaq and Shopify, which validated its role in cloud-native computing.[4] A key milestone was its inclusion in Approach's portfolio, underscoring investor confidence in its ability to unify GPU resources for ML training.[6]
(Note: RiseML is distinct from domain registration services under a similar name; its primary focus is ML infrastructure.[3])
RiseML rode the 2010s explosion of cloud-native technologies, particularly Kubernetes adoption for orchestrating complex workloads like deep learning, which demanded elastic GPU compute amid growing AI model sizes.[4] Timing was ideal post-Kubernetes 1.0 (2015), as enterprises sought alternatives to proprietary ML platforms; market forces like CNCF's growth (to 178 members by 2018) amplified its influence by embedding it in a standards-driven ecosystem.[4] It contributed to democratizing distributed training, influencing how teams like those at Nasdaq or Shopify integrated ML into scalable, containerized pipelines, though its impact may have waned without evident post-2018 updates.[4][6]
RiseML's Kubernetes-focused platform positioned it as an early innovator in cloud-native ML, but limited recent visibility suggests it may have been acquired, pivoted, or faded amid competition from tools like Kubeflow or Ray. Looking ahead, trends in multimodal AI and edge computing could revive demand for efficient GPU clustering, potentially evolving its tech into hybrid cloud-edge solutions. Its open source roots might sustain niche influence, tying back to its core strength: making distributed deep learning as simple as a single cluster.
RiseML has raised $910K across 1 funding round. Most recently, it raised $910K Seed in May 2017.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| May 1, 2017 | $910K Seed | AngelList Syndicator, Atlantic Labs, Balderton Capital, Cherry Ventures, Fathom Capital, FJ Labs, Gotham Gal Ventures, Kearny Jackson, Kleiner Perkins, Mango Capital, Mosaic Ventures, Nokia Growth Partners, Kazuma Ieiri, Y Combinator, Alexander Ljung, Augusto Marietti, Brigitte Mohn, Christian Bach, Eric Quidenus-Wahlforss, Jeremy Yap, Spencer Kimball |