We’ve had an incredible month here at Wallaroo.AI, including some great wins with our customers and partners such as IBM and Loft Orbital. I wanted to highlight some key MLOps/LLMOps use cases and product milestones.
Wallaroo + Arm®: A Best-of-Breed AI Inference stack
Artificial intelligence use cases are exploding, with the potential to reshape entire industries – including how we live, work, and play. Ultimately, the AI models that power these use cases need computational power to run – be it in the cloud, on-premise, or on-location where the data itself is (“edge”). In the popular media, this computational power is often associated with NVIDIA GPUs. Yet, the reality is that compute environments are heterogeneous, and in particular Arm-based chips are becoming increasingly important to AI.
In fact, AI infrastructure powered by Arm, combined with Wallaroo’s Software Platform, delivers a high-performance, comprehensive production AI inference solution to easily deploy, monitor and manage efficient and scalable AI workloads – whether in the cloud, on-premises, or at the edge. This solution provides a compelling alternative to a fully Nvidia-based solution.
Read more: Wallaroo’s Software on Arm: A Best-of-Breed AI Solution
Learn More: Wallaroo.AI + Ampere enhancing AI workloads in Oracle Cloud infrastructure
AI that’s Out Of This World – Literally!
Through our partnership with Loft Orbital and the US Space Force, Wallaroo’s inference software is officially in space! This was a very complex challenge for our partners, and a giant opportunity both on the commercial and defense side of things with many interesting and valuable applications (agriculture, forest fires, troop support, etc). Kudos to the Wallaroo.AI team and our partners!
Wallaroo is in Orbit! (LinkedIn)
The Future of AI in Space (blog)
A Factory Approach to Realizing ROI from AI
AI adoption has been a bumpy ride for most organizations due to underestimating the effort to deploy effective AI models into production (inference). Most AI projects fail to deliver the expected return on investment. However, AI teams that have initial success with AI in deployment, want to scale use cases by 2-5x year-over-year. Coupled with the emergence of Agentic AI and an increasing number of edge or distributed AI applications where AI models need to be deployed to hundreds or thousands of locations, this is leading to demand to scale AI deployments.
While currently such “mature” AI teams are less than 10% of overall enterprise AI teams, they will grow quickly over the next few years and will need an industrial-grade ‘factory’ approach to operationalizing AI. At Wallaroo.AI, we’ve been building towards this goal for the last few years.
Read more: A Factory Approach to Realizing ROI from AI | Wallaroo.AI
RealPage Accelerates Production MLOps/LLMOps with Wallaroo
We are thrilled to share how RealPage, Inc. are 𝗿𝗲𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝗶𝘇𝗶𝗻𝗴 𝘁𝗵𝗲𝗶𝗿 𝗔𝗜 𝗷𝗼𝘂𝗿𝗻𝗲𝘆!
🚀 By partnering with Wallaroo.AI, they’ve achieved incredible results in 𝘀𝘁𝗿𝗲𝗮𝗺𝗹𝗶𝗻𝗶𝗻𝗴 𝘁𝗵𝗲𝗶𝗿 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗠𝗟𝗢𝗽𝘀/𝗟𝗟𝗠𝗢𝗽𝘀.
A quote from a 𝗟𝗲𝗮𝗱 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁 𝗮𝘁 𝗥𝗲𝗮𝗹𝗣𝗮𝗴𝗲 truly highlights the impact: “𝘞𝘪𝘵𝘩 𝘞𝘢𝘭𝘭𝘢𝘳𝘰𝘰, 𝘺𝘰𝘶 𝘩𝘢𝘷𝘦 𝘵𝘸𝘰 𝘤𝘭𝘢𝘴𝘴𝘦𝘴 – 𝘰𝘯𝘦 𝘰𝘧 𝘸𝘩𝘪𝘤𝘩 𝘪𝘴 𝘴𝘪𝘮𝘱𝘭𝘺 𝘺𝘰𝘶𝘳 𝘤𝘰𝘥𝘦 𝘣𝘢𝘴𝘦. 𝘛𝘩𝘪𝘴 𝘨𝘳𝘦𝘢𝘵𝘭𝘺 𝘳𝘦𝘥𝘶𝘤𝘦𝘴 𝘵𝘩𝘦 𝘵𝘪𝘮𝘦 𝘵𝘰 𝘱𝘳𝘰𝘥𝘶𝘤𝘵𝘪𝘰𝘯 𝘢𝘯𝘥 𝘦𝘮𝘱𝘰𝘸𝘦𝘳𝘴 𝘥𝘢𝘵𝘢 𝘴𝘤𝘪𝘦𝘯𝘵𝘪𝘴𝘵𝘴 𝘵𝘰 𝘵𝘳𝘢𝘯𝘴𝘪𝘵𝘪𝘰𝘯 𝘵𝘩𝘦𝘪𝘳 𝘤𝘰𝘥𝘦 𝘪𝘯𝘵𝘰 𝘱𝘳𝘰𝘥𝘶𝘤𝘵𝘪𝘰𝘯 𝘧𝘳𝘢𝘮𝘦𝘸𝘰𝘳𝘬𝘴 𝘦𝘢𝘳𝘭𝘪𝘦𝘳 𝘪𝘯 𝘵𝘩𝘦 𝘥𝘦𝘷𝘦𝘭𝘰𝘱𝘮𝘦𝘯𝘵 𝘱𝘳𝘰𝘤𝘦𝘴𝘴…”
This is a fantastic example of how focusing on efficient AI production can 𝘂𝗻𝗹𝗼𝗰𝗸 𝘀𝗶𝗴𝗻𝗶𝗳𝗶𝗰𝗮𝗻𝘁 𝗥𝗢𝗜 𝗮𝗻𝗱 𝗱𝗿𝗶𝘃𝗲 𝗶𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻.
Read more: How RealPage is Streamlining Production MLOps/LLMOps with Wallaroo
