Imagine buying a Ferrari and being stuck in traffic everyday. That’s synonymous to a major problem many enterprises are facing with their GPU investments. They currently don’t have access to the proper resources and supporting infrastructures to monetize the significant investments they’ve made in GPU hardware. Building a self-service platform for accelerated computing consumption can take up to 2 years! ?? That’s why today, Rafay announced new platform capabilities to help enterprises maximize the value of their GPU investments, eliminating lengthy platform development delays. Now, with the following capabilities, organizations can quickly launch AI services: -AI/ML workbenches -Chargeback and billing -Multi-tenancy enforcement -Programmatic SKUs Learn more... https://bit.ly/4fzD19D #AI #GPU #platformengineering
Rafay
软件开发
Sunnyvale，CA 5,623 位关注者
Enterprise PaaS for Modern Infrastructure and Accelerated Computing
关于我们
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.
- 网站
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https://rafay.co
Rafay的外部链接
- 所属行业
- 软件开发
- 规模
- 51-200 人
- 总部
- Sunnyvale，CA
- 类型
- 私人持股
- 创立
- 2017
- 领域
- Edge Computing、Docker、devops、SRE、Operations和OpenShift
产品
![点击此处查看Kubernetes Operations Platform]()
Kubernetes Operations Platform
容器管理软件
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.
地点
Rafay员工
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Sean Wilcox
Sr. Vice President Marketing at Rafay Systems | Company Builder | AI-Native Marketer?? | Previously Proofpoint, Clearwell, VeriSign
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Yousuf Khan
Partner @ Ridge Ventures | Investor, Board Member, Advisor, former CIO and ciso
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Leo Casusol
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Sudhir Babu Chinnamadela
Engineering at Rafay Systems
动态
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We’re proud to be named to Deloitte’s 2024 Technology #Fast500 list among many other incredible tech solutions. According to our CEO Haseeb Budhani, “We’re committed to providing self-service consumption of accelerated computing infrastructure so enterprises’ AI projects can make a real impact. Our placement on the Deloitte Technology Fast 500 is a testament to our product-led approach to platform engineering as we make cloud-native, AI and GenAI initiatives more accessible and manageable for enterprises.” Congratulations to the Rafay team and all other recipients. ? #platformteams #AI #GenAI #cloud #cloudnative
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Rafay is on The Cloud Awards shortlist! ???? ?? It’s an honor to be recognized as a shortlisted company for the “Best Cloud-Native Solution.” We’re proud of our innovative design-first approach to platform engineering that accelerates cloud-native, AI and ML initiatives while keeping costs low. Congratulations to our team! Finalists will be announced soon — stay tuned!?????? #platformengineering #AI #ML #cloudnative #cloud
2024/25 Cloud Awards Shortlist
https://www.cloud-awards.com
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Imagine buying a Ferrari and being stuck in traffic everyday. That’s synonymous to a major problem many enterprises are facing with their GPU investments. They currently don’t have access to the proper resources and supporting infrastructures to monetize the significant investments they’ve made in GPU hardware. Building a self-service platform for accelerated computing consumption can take up to 2 years! ?? That’s why today, Rafay announced new platform capabilities to help enterprises maximize the value of their GPU investments, eliminating lengthy platform development delays. Now, with the following capabilities, organizations can quickly launch AI services: -AI/ML workbenches -Chargeback and billing -Multi-tenancy enforcement -Programmatic SKUs Learn more: #AI #GPU #platformengineering
Rafay Debuts New Platform Capabilities to Speed Up GPU Infrastructure Consumption and Monetization
businesswire.com
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Less than HALF of digital initiatives meet or exceed their business outcome targets. CIOs are rethinking their cloud strategies for the coming year to increase ROI on digital transformation efforts. ?? ?? According to Rafay CEO Haseeb Budhani, “In the world of AI, data is an enterprise’s most important asset, and enterprises seem to want to keep their data in private data centers… the market has shifted from cloud first to hybrid.” Nathan Eddy has more in Digital CxO: #DX #CIO #cloud #AI #hybridcloud
Digital Initiatives Failing to Meet Business Outcome Targets
https://digitalcxo.com
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As AI/ML workloads scale, managing GPUs in Kubernetes clusters can be a challenge. This is where a GPU Operator comes into play. An operator automates GPU management—simplifying provisioning, monitoring, and optimizing resources for high-performance workloads. The result? Reduced complexity, better efficiency, and faster deployments of AI models. Whether you're scaling AI projects or optimizing infrastructure, a GPU Operator is key to maximizing Kubernetes' potential for accelerated computing. Rafay customers use the Nvidia GPU Operator on their K8s clusters to create a single, standardized combination of cluster add-ons. https://lnkd.in/dPREx69b If you're in Utah for #Kubecon you can find Rafay at Booth R32 - come check out our GPU PaaS live in action
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We're closing in on GenAI Demo Day with Data Science Connect happening TODAY at 2pm ET! Don't miss Mohan Atreya offering an impactful demo of what you can do with a #GPU platform-as-as-service, among other innovative solutions being showcased. Register here: https://hubs.ly/Q02QFH3f0
GenAI Demo Day
https://datasciconnect.com
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? Are you ready for it? ? Today is the start of KubeCon, CNCF's flagship conference where adopters and technologists gather from leading open source and cloud native communities in Salt Lake City. Rafay is in booth R32 ready to help you with your cloud-native and AI plans. We also just happen to have some fun giveaways in the spirit of ACCELERATION. ??? ??? ??? Let's go!
KubeCon + CloudNativeCon North America | LF Events
events.linuxfoundation.org
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We are thrilled to partner with Data Science Connect as a sponsor of GenAI Demo Day on Wednesday, November 13 at 2pm ET! Don't miss Mohan Atreya offering an impactful demo of what you can do with a #GPU platform-as-as-service, among other innovative solutions being showcased. Register here: https://hubs.ly/Q02QFH3f0
GenAI Demo Day
https://datasciconnect.com
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What day is it? Platform Engineering Day! Rafay just happens to be a proud gold sponsor. ?? Platform Engineering Day brings together key stakeholders across the Cloud Native Community to share lessons learned in building and managing internal platforms, measuring platform maturity and improving golden paths and developer experience. If you're in Salt Lake City you won't want to miss this. #PlatEngDay #PlatformEngineering #KubeCon
Platform Engineering Day | LF Events
events.linuxfoundation.org