Wallaroo.AI

🔎 𝗦𝘁𝗼𝗽 𝘀𝗲𝗮𝗿𝗰𝗵𝗶𝗻𝗴 𝗳𝗼𝗿 𝗔𝗜 𝗮𝗻𝘀𝘄𝗲𝗿𝘀 & 𝘀𝘁𝗮𝗿𝘁 𝗱𝗲𝗽𝗹𝗼𝘆𝗶𝗻𝗴. 🚀 ‼️ We are excited to share that the Wallaroo.AI 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 is now supercharged by Gurubase! 🤖⚡️ By integrating 𝗚𝘂𝗿𝘂𝗯𝗮𝘀𝗲’𝘀 𝗔𝗜-𝗲𝗻𝗮𝗯𝗹𝗲𝗱 𝘀𝗲𝗮𝗿𝗰𝗵, we’ve transformed our 𝗪𝗮𝗹𝗹𝗮𝗿𝗼𝗼 𝗱𝗼𝗰𝘀 from a static library into an 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝘁𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗮𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁. 𝗪𝗵𝗮𝘁 𝘁𝗵𝗶𝘀 𝗺𝗲𝗮𝗻𝘀 𝗳𝗼𝗿 𝘆𝗼𝘂: ✅ 𝗡𝗮𝘁𝘂𝗿𝗮𝗹 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗤𝘂𝗲𝗿𝗶𝗲𝘀: Ask complex technical questions just like you’re talking to a Wallaroo product specialist. ✅ 𝗜𝗻𝘀𝘁𝗮𝗻𝘁 𝗖𝗼𝗻𝘁𝗲𝘅𝘁: No more clicking through ten different pages; get precise, synthesized answers immediately about Wallaroo product capabilities. ✅ 𝗖𝗼𝗱𝗲-𝗥𝗲𝗮𝗱𝘆 𝗔𝗻𝘀𝘄𝗲𝗿𝘀: Get the exact snippets you need to deploy, monitor, and scale your AI workloads at the edge or in the cloud with Wallaroo. Experience the future of technical search for yourself. 👉 𝗘𝘅𝗽𝗹𝗼𝗿𝗲 𝘁𝗵𝗲 𝗔𝗜-𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝗱𝗼𝗰𝘀 𝗵𝗲𝗿𝗲: https://docs.wallaroo.ai/ 🙌 A huge shoutout to the Gurubase team and Fatih Baltaci for helping us make the 𝗪𝗮𝗹𝗹𝗮𝗿𝗼𝗼 𝗨𝗻𝗶𝗳𝗶𝗲𝗱 𝗔𝗜 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 even more accessible for data scientists and ML engineers everywhere. #MLOps #AI #EnterpriseAI #DeveloperExperience #EdgeAI #WallarooAI #Gurubase #TechnicalDocumentation #Innovation #AgenticAI Vid Jain, Younes Amar, Jason McCampbell, John Hansarick, Martin Bald

🚀 𝗗𝗲𝗽𝗹𝗼𝘆𝗶𝗻𝗴 𝗔𝗜 𝗼𝗻 𝗜𝗕𝗠 𝗣𝗼𝘄𝗲𝗿® 𝗝𝘂𝘀𝘁 𝗚𝗼𝘁 𝗮 𝗪𝗵𝗼𝗹𝗲 𝗟𝗼𝘁 𝗙𝗮𝘀𝘁𝗲𝗿. The gap between building a great AI model and actually seeing it drive business value is often where projects fail to deliver. ‼️That's why we’re so excited about the 𝗪𝗮𝗹𝗹𝗮𝗿𝗼𝗼 𝗔𝗜 𝗦𝘁𝗮𝗿𝘁𝗲𝗿 𝗞𝗶𝘁 𝗳𝗼𝗿 𝗜𝗕𝗠 𝗣𝗼𝘄𝗲𝗿® 🤝 Our partnership with IBM is all about one thing: 𝗧𝘂𝗿𝗻𝗶𝗻𝗴 𝗔𝗜 𝗶𝗻𝘁𝗼 𝗥𝗢𝗜, F𝗮𝘀𝘁𝗲𝗿. How Wallaroo.AI is Changing the Game on IBM Power: 🔹 𝗦𝘁𝗮𝘁𝗲-𝗼𝗳-𝘁𝗵𝗲-𝗔𝗿𝘁 𝗜𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗶𝗻𝗴: This kit allows you to effortlessly turn AI into automated decisions and actions—directly 𝘄𝗵𝗲𝗿𝗲 𝘆𝗼𝘂𝗿 𝗺𝗶𝘀𝘀𝗶𝗼𝗻-𝗰𝗿𝗶𝘁𝗶𝗰𝗮𝗹 𝗱𝗮𝘁𝗮 𝗹𝗶𝘃𝗲𝘀. 🔹 𝗛𝗮𝗿𝗱𝘄𝗮𝗿𝗲 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗲𝗱: Wallaroo is specifically tuned for the IBM Power Architecture, fully leveraging 𝗠𝗠𝗔 & 𝗦𝗽𝘆𝗿𝗲 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 for enterprise-grade performance. 🔹 𝗦𝘁𝗿𝗲𝗮𝗺𝗹𝗶𝗻𝗲𝗱 𝟯-𝗦𝘁𝗲𝗽 𝗣𝗮𝘁𝗵: We've simplified the production process down to 𝗜𝗻𝘀𝘁𝗮𝗹𝗹, 𝗖𝗼𝗻𝗳𝗶𝗴𝘂𝗿𝗲, 𝗮𝗻𝗱 𝗟𝗮𝘂𝗻𝗰𝗵｡ Go from a lab concept to a live running AI service in record time. 𝗥𝗲𝗮𝗱𝘆-𝘁𝗼-𝗨𝘀𝗲 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀: The kit includes pre-built AI APIs for high-impact use cases like 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁𝘀, 𝗔𝗜 𝗖𝗼𝗻𝘁𝗲𝗻𝘁 𝗦𝘂𝗺𝗺𝗮𝗿𝗶𝘇𝗮𝘁𝗶𝗼𝗻, & 𝗔𝗜 𝗖𝗼𝗱𝗶𝗻𝗴 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁𝘀 As our CPO, Younes Amar, puts it: "𝗜𝘁’𝘀 𝗮𝗯𝗼𝘂𝘁 𝗱𝗲𝗹𝗶𝘃𝗲𝗿𝗶𝗻𝗴 𝘁𝗿𝘂𝘀𝘁𝗲𝗱, 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲, 𝗮𝗻𝗱 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁 𝗔𝗜 𝗿𝗶𝗴𝗵𝘁 𝘄𝗵𝗲𝗿𝗲 𝘁𝗵𝗲 𝗺𝗶𝘀𝘀𝗶𝗼𝗻-𝗰𝗿𝗶𝘁𝗶𝗰𝗮𝗹 𝗱𝗮𝘁𝗮 𝗹𝗶𝘃𝗲𝘀｡" Stop managing infrastructure complexity and start building impactful AI agents. 🔗 𝗥𝗲𝗮𝗱 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗮𝗻𝗻𝗼𝘂𝗻𝗰𝗲𝗺𝗲𝗻𝘁 𝗼𝗻 𝘁𝗵𝗲 𝗜𝗕𝗠 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝘁𝘆 𝗯𝗹𝗼𝗴:https://lnkd.in/g63ma2-8 #WallarooAI #IBMPower #EnterpriseAI #MLOps #DigitalTransformation #AIInference #Innovation Vid Jain, Younes Amar, Jason McCampbell, Pete Agresta, Martin Bald, Akmel Syed, David Budd, Jesse Gorzinski, MBA, Amy Blea, MBA, Bargav Balakrishnan, Kavita Sehgal, Unnikrishnan Rajagopal, Joe Nadeau, Paul Chapman, Rebecca Gott

📣 We’re thrilled to announce the launch of the 𝗪𝗮𝗹𝗹𝗮𝗿𝗼𝗼 𝗔𝗜 𝗦𝘁𝗮𝗿𝘁𝗲𝗿 𝗞𝗶𝘁 for 𝗜𝗕𝗠 𝗣𝗼𝘄𝗲𝗿® — a groundbreaking solution designed to help businesses 𝗱𝗲𝗽𝗹𝗼𝘆 𝗽𝗼𝘄𝗲𝗿𝗳𝘂𝗹 𝗔𝗜 𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝘄𝗶𝘁𝗵 𝘀𝗽𝗲𝗲𝗱, 𝘀𝗰𝗮𝗹𝗲, 𝗮𝗻𝗱 𝗺𝗶𝗻𝗶𝗺𝗮𝗹 𝗳𝗿𝗶𝗰𝘁𝗶𝗼𝗻. 𝗪𝗵𝗮𝘁 𝘁𝗵𝗶𝘀 𝗺𝗲𝗮𝗻𝘀 𝗳𝗼𝗿 𝗔𝗜 𝘁𝗲𝗮𝗺𝘀: 🚀 𝗗𝗲𝗽𝗹𝗼𝘆 𝗶𝗻 𝗠𝗶𝗻𝘂𝘁𝗲𝘀: One command is all it takes to launch a full, production-ready inference endpoint even on an IBM 𝗟𝗣𝗔𝗥. 🔒 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 & 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲: Optimized for IBM Power hardware, Wallaroo.AI brings high throughput, low latency, and robust security to mission-critical AI workloads. 🔄 𝗦𝗲𝗮𝗺𝗹𝗲𝘀𝘀 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: AI agents can tap directly into business data and workflows without complex migration or infrastructure overhaul. ⚙️ 𝗥𝗲𝗮𝗹 𝗥𝗢𝗜 𝘄𝗶𝘁𝗵 𝗥𝗲𝗮𝗹 𝗨𝘀𝗲 𝗖𝗮𝘀𝗲𝘀: From AI-powered virtual assistants to real-time data-driven automation, enterprises can turn AI from experiment to business outcome quickly and reliably. Whether you’re modernizing legacy infrastructure or building next-gen AI products, 𝗪𝗮𝗹𝗹𝗮𝗿𝗼𝗼 + 𝗜𝗕𝗠 𝗣𝗼𝘄𝗲𝗿 gives you the head start you need. 𝗘𝘅𝗽𝗹𝗼𝗿𝗲 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝘀𝘁𝗼𝗿𝘆 𝗶𝗻 𝘁𝗵𝗲 𝗻𝗲𝘄 𝗯𝗹𝗼𝗴 𝗽𝗼𝘀𝘁 👉: https://lnkd.in/gcvJXt52 Vid Jain Younes Amar Pete Agresta Jason McCampbell Martin Bald #EnterpriseAI #MLOps #AIInfrastructure #IBMPower #WallarooAI #GenAI #TechInnovation #AIinProduction

🏁 𝗦𝘁𝗮𝗿𝘁 𝗥𝗲𝗮𝗹𝗶𝘇𝗶𝗻𝗴 𝗥𝗢𝗜 𝗶𝗻 𝗛𝗼𝘂𝗿𝘀 𝘄𝗶𝘁𝗵 𝗿𝗮𝗽𝗶𝗱 𝗔𝗜 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁｡ The biggest hurdle in enterprise AI isn't building the model—it's getting it to 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁𝗹𝘆, 𝘀𝗲𝗰𝘂𝗿𝗲𝗹𝘆, 𝗮𝗻𝗱 𝗰𝗼𝘀𝘁-𝗲𝗳𝗳𝗲𝗰𝘁𝗶𝘃𝗲𝗹𝘆. We are thrilled to share that Wallaroo.AI has partnered with IBM to launch the 𝗪𝗮𝗹𝗹𝗮𝗿𝗼𝗼 𝗔𝗜 𝗦𝘁𝗮𝗿𝘁𝗲𝗿 𝗞𝗶𝘁 optimized for 𝗜𝗕𝗠 𝗣𝗼𝘄𝗲𝗿 𝗦𝘆𝘀𝘁𝗲𝗺𝘀, designed to finally bridge the gap between AI experimentation and business value. 𝗪𝗵𝗮𝘁 𝘁𝗵𝗲 𝗣𝗮𝗿𝘁𝗻𝗲𝗿𝘀𝗵𝗶𝗽 𝗦𝗼𝗹𝘃𝗲𝘀: ✅ 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 𝗦𝘁𝗿𝘂𝗴𝗴𝗹𝗲𝘀: We cut the deployment timeline from 𝘄𝗲𝗲𝗸𝘀 𝘁𝗼 𝗵𝗼𝘂𝗿𝘀 ✅ 𝗛𝗶𝗴𝗵 𝗖𝗼𝘀𝘁𝘀: Achieve up to 𝟱𝟬% 𝗰𝗼𝘀𝘁 𝗿𝗲𝗱𝘂𝗰𝘁𝗶𝗼𝗻 on your inference workloads. ✅ 𝗖𝗼𝗺𝗽𝗹𝗲𝘅 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲: Ensure trusted, private AI with 𝗯𝘂𝗶𝗹𝘁-𝗶𝗻 𝗼𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆 & 𝗴𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 𝗰𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀｡ 𝗪𝗮𝘁𝗰𝗵 𝘁𝗵𝗲 𝘃𝗶𝗱𝗲𝗼 𝗯𝗲𝗹𝗼𝘄 👇 & check out the 𝗪𝗮𝗹𝗹𝗮𝗿𝗼𝗼 𝗔𝗜 𝗦𝘁𝗮𝗿𝘁𝗲𝗿 𝗞𝗶𝘁 𝘀𝗶𝘁𝗲👇 for details to begin converting your AI projects into measurable business value today! https://lnkd.in/gFe6bB7b Vid Jain, Younes Amar, Pete Agresta, Jason McCampbell #IBMPower #WallarooAI #EnterpriseAI #MLOps #AIDeployment #DigitalTransformation #IBM

𝗡𝘃𝗶𝗱𝗶𝗮 𝘃𝘀. 𝗘𝘃𝗲𝗿𝘆𝗯𝗼𝗱𝘆 𝗘𝗹𝘀𝗲: 𝗖𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝗼𝗻 𝗠𝗼𝘂𝗻𝘁𝘀 𝗯𝘂𝘁 𝗪𝗵𝗲𝗿𝗲’𝘀 𝘁𝗵𝗲 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲? It’s exciting to see our vision and approach getting validated not only by the likes of this weekend’s WSJ article, but by the market as a whole. For us it's not about Nvidia vs. other AI chips, but how enterprises and infrastructure providers make it easy to deploy, scale, and operate AI in environments with diverse infrastructure. What’s missing from the WSJ article is a lack of appreciation of the role that software plays in helping drive Nvidia’s chip adoption. Nvidia has built or bought an extensive set of AI software capabilities for orchestrating AI and running high-performance inferencing on its hardware, that other chip suppliers lack. As $100s of Billions of committed AI infrastructure comes online, the AI software will be increasingly important. At Wallaroo.AI, we’ve got the software and we are ready! #AIEconomy #TechLeadership #AIInnovation #AIInfrastructure #ScalingAI #WallarooAI #AIInfrastructure #AIChips #AIEcosystem #AIOrchestration #MLOps #AIInference #Semiconductors #Nvidia #AMD #IBM #Arm #ArmHoldings #Innovation #Technology 

💡 𝗡𝘃𝗶𝗱𝗶𝗮 𝘃𝘀｡ 𝗘𝘃𝗲𝗿𝘆𝗯𝗼𝗱𝘆 𝗘𝗹𝘀𝗲: 𝗖𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝗼𝗻 𝗠𝗼𝘂𝗻𝘁𝘀 𝗯𝘂𝘁 𝗪𝗵𝗲𝗿𝗲’𝘀 𝘁𝗵𝗲 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲? This weekend’s WSJ article “Nvidia vs. Everybody Else: Competition Mounts” is very timely. https://lnkd.in/gzWdC5kA The key thrust is that Nvidia, the dominant player in the AI chip market for the past decade, is encountering increasingly intense competition from multiple directions. Established tech giants such as AMD, Broadcom, Intel, IBM, and Qualcomm, along with hyperscalers like Google (with its TPUs) and Amazon (with its Trainium chips) who are now offering their AI chips to external clients, are directly challenging Nvidia's flagship GPUs for AI workloads. While Nvidia remains the current market leader with significant sales and a comprehensive software ecosystem, this evolving landscape compels the company to adapt to a rapidly diversifying and competitive market. What’s missing from the WSJ article for the most part is a lack of appreciation of the role that software plays in helping drive Nvidia’s chip adoption by customers. Beyond CUDA, Nvidia’s low-level software library for AI developers, Nvidia has built or bought an extensive set of AI software capabilities for orchestrating AI and running high-performance inferencing on its hardware, collectively known as Dynamo. For other chip suppliers to take market share from Nvidia, they must not only deliver compelling AI chips, but provide an integrated Software + Hardware stack so AI developers can both easily deploy AI on new AI silicon, and also migrate appropriate workloads from Nvidia. Without such software, this new AI silicon presents as much complexity as it does opportunity to reduce costs or increase capacity and scale. I’ve written about the challenge of infrastructure silos here. https://lnkd.in/gKDtWmM8 At Wallaroo.AI, we’ve been building a 𝘂𝗻𝗶𝗳𝗶𝗲𝗱 𝗔𝗜 𝗼𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗶𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝘀𝘁𝗮𝗰𝗸 for a while, even working directly with many of the chip suppliers mentioned in the WSJ article. What’s exciting is to see our vision and approach getting validated not only by the likes of the WSJ, but by the market as a whole. For us it's not about Nvidia vs. other AI chips, but how do enterprises and infrastructure providers make it easy to deploy, scale, and operate AI in Nvidia + other AI chips, Cloud + on-prem and edge world. As $100s of Billions of committed AI infrastructure comes online, AI software will be increasingly important. At Wallaroo.AI, we’ve got the software and we are ready! https://wallaroo.ai/ Vid Jain Younes Amar Pete Agresta Jason McCampbell #AIEconomy #TechLeadership #AIInnovation #AIInfrastructure #ScalingAI #WallarooAI #AIInfrastructure #AIChips #AIEcosystem #AIOrchestration #MLOps #AIInference #Semiconductors #Nvidia #WallarooAI

🚀 𝗪𝗲’𝗿𝗲 𝗚𝗿𝗼𝘄𝗶𝗻𝗴! Wallaroo.AI is on the hunt for senior to staff-level 𝗔𝗜/𝗠𝗟 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝘀 to help us continue pushing the boundaries of state-of-the-art enterprise-grade inference across heterogeneous infrastructure from cloud to edge. We're 𝗹𝗼𝗼𝗸𝗶𝗻𝗴 𝗳𝗼𝗿 𝗲𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 𝗮𝗻𝗱 𝗽𝗮𝘀𝘀𝗶𝗼𝗻 𝗳𝗼𝗿 𝗟𝗟𝗠 𝗱𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 𝗮𝗻𝗱 𝗶𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲, 𝗰𝗼𝘂𝗽𝗹𝗲𝗱 𝘄𝗶𝘁𝗵 𝗮 𝗱𝗲𝗲𝗽 𝘂𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 𝗼𝗳 𝗿𝘂𝗻𝘁𝗶𝗺𝗲𝘀 𝘀𝘂𝗰𝗵 𝗮𝘀 𝘃𝗟𝗟𝗠 𝗮𝗻𝗱 𝗦𝗚𝗟𝗮𝗻𝗴. Our mission at Wallaroo.AI is to power the next wave of enterprise AI, so 𝗶𝗳 𝘆𝗼𝘂 𝘁𝗵𝗿𝗶𝘃𝗲 𝗼𝗻 𝗺𝗮𝘀𝘁𝗲𝗿𝗶𝗻𝗴 𝗻𝗲𝘄 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀, 𝗱𝗶𝘃𝗶𝗻𝗴 𝗱𝗲𝗲𝗽, 𝗮𝗻𝗱 𝗲𝘅𝘁𝗿𝗮𝗰𝘁𝗶𝗻𝗴 𝗺𝗮𝘅𝗶𝗺𝘂𝗺 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲, you'll feel right at home. Join us in shaping the future of scalable, high-performance AI systems 👉: https://lnkd.in/gYYAe5W6 Vid Jain, Younes Amar, Jason McCampbell, Jonathan Brown, Martin Bald, Tory Bensen #WallarooCareers #WorkWithUs #JoinOurTeam #TechCareers #Hiring #NowHiring #JobOpening #TechJobs #AIJobs #MLJobs #EngineeringJobs #CareerOpportunity