Rafay delivers an enterprise PaaS for modern infrastructure and accelerated computing. Platform teams at many of the largest enterprises in the world use Rafay’s platform to deliver AS-A-SERVICE consumption of compute to their internal customers. Whether developers and data scientists need to deploy CPU-based and GPU-based workloads in data centers, public clouds, or at the edge, Rafay makes it easy.
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Rafay delivers the first Kubernetes management and operations platform purpose-built for platform teams. Rafay’s cloud-made solution, Kubernetes Operations Platform, provides the automation and governance capabilities that platform teams need to standardize Kubernetes toolsets and workflows. With Rafay, platform teams at MoneyGram, GuardantHealth, Verizon and many other companies are operating Kubernetes environments across data centers, public cloud and Edge environments with centralized visibility and access control, environment standardization, and guardrail enforcement. As a result, platform teams are able to deliver self-service and automation capabilities that delight developer and operations teams.
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It's never too soon to start planning your agenda for AWS re:Invent and we are excited to be a bronze sponsor. Book some 1:1 time and we'll show you how to accelerate all things AI/ML and cloud-native. Let's go! 🏎️ 🏎️ 🏎️ Amazon Web Services (AWS) #reInvent #AI #k8s
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What pairs well with #KubeCon? Platform Engineering Day as a co-located event, and Rafay just happens to be a gold sponsor. 🥇 Who will we see there? #PlatEngDay #CloudNativeCon #PlatformEngineering
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We're getting warmed up for #KubeCon / #CloudNativeCon in Salt Lake City! Add Rafay to your agenda to 👀 what is new in the #GPU PaaS and GPU Cloud landscape. Who else plans to attend? 🙋🏼♂️
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Ever wondered how GPUs work with Kubernetes? Learn more about how Kubernetes Device Plugins enable seamless GPU integration and management for accelerating containerized workloads. Check out the blog here: https://lnkd.in/gRXyYqRH #gpu #kubernetes #containers
Powering self-service consumption of GPU and CPU based infrastructure for enterprises and GPU Clouds
Did you catch this video demonstrating Rafay's Al/ML workbench and how customers leverage it for #GenAI #model finetuning jobs? Nice work Mohan and team on delivering this! 🙏🙏 💪💪 https://lnkd.in/g-JNR_tz
Why is #Kubernetes key to enterprise AI/ML adoption? What does it actually take to bring the capabilities of data segmentation, hardware abstraction, and batch processing online? 🤫 The secrets to accelerating your #AI and #ML plans are in here - but not for long!
🐦 A little bird mentioned that the NVIDIA AI Summit in Washington D.C. is coming up soon... And we cannot wait! It's all about the #GPU PaaS for us. What do we mean❓ Stop by next week to demo and ask questions about how Rafay enables companies to define compute consumption experiences for #developers and data scientists, and deliver them through an end user-friendly Platform-as-a-Service (PaaS) experience.
Our co-founder and CEO Haseeb Budhani explains that self-service is key for organizations to adapt to rapidly evolving technologies: 💡“When you get to a point where you can enable developers and data scientists to press a button and get [results], that is nirvana. Everybody's working towards that step." On Solutions Review’s InsightJam.com podcast, Haseeb and host Douglas Atkinson explored: - The shift toward hybrid cloud environments, driven by AI - How data management fuels innovation and presents new challenges - How Rafay pushes the boundaries of cloud, AI and ML innovation, enabling automation and ultimately, self-service 🎧 Listen to the full episode to learn more about how Rafay is shaping the future of cloud native and AI/ML adoption! #ITleadership #cloud #AI #genAI #platformteams #ML
💥 Instant access to GPU-based infrastructure 💥 Need we say more? Yes, we will. 🙃 Rafay’s #GPU Platform-as-a-Service (#PaaS) empowers developers and data scientists by providing instant access to powerful GPU-based #infrastructure. You can... ✔️ Achieve instant, on-demand GPU access: Get started in less than 5 minutes. ✔️ Boost productivity by 50%: Enhance efficiency for data scientists and AI developers. ✔️ Improve GPU utilization by 80%: Optimize resource use with dynamic GPU assignment and sharing. We'd love for you to see it for yourself. Request a custom demo here: https://bit.ly/3AP5WHg