VMware Telco Cloud Platform Description
Implement cloud-native and virtual network functions seamlessly within your networks to ensure telco-grade reliability and service continuity. Speed up innovation and make dynamic operations easier with a powerful cloud infrastructure. Equip VNFs and CNFs with a secure and scalable foundation that safeguards your investments for the present and the future. Boost networking capabilities through DPU-based acceleration, tailored for performance-critical telecom tasks. Streamline operations and enhance deployment speed through advanced multi-layer automation techniques. Expedite the rollout of network services and functionalities to swiftly meet market needs. Maintain continuous surveillance of your network, infrastructure, and telecommunications workloads for prompt remediation insights. Gain a precise overview of your network across various domains, which facilitates a comprehensive understanding of your infrastructure. Optimize the Container-as-a-Service (CaaS) processes for telco cloud deployment using automation, all while ensuring centralized governance and management for your clusters. By integrating these strategies, organizations can ensure they remain agile in the ever-evolving telecommunications landscape.
VMware Telco Cloud Platform Alternatives
Delska
Delska is a data center and network operator that provides tailor-made IT and network services for businesses. With 5 data centers (one under construction, launching in 2025) in Latvia and Lithuania, and points of presence in Germany, Netherlands, and Sweden, we offer a comprehensive regional data center and network ecosystem. By 2030, we aim to achieve net-zero CO2 emissions, setting standard for sustainable IT infrastructure in the Baltic region.
In addition to cloud computing, colocation, data security, network, and other services, we have launched the self-service cloud platform myDelska for swift virtual machine deployment, IT resources management, and soon-to-come bare metal services.
Key features:
• Unlimited traffic and predictable monthly costs
• API integration
• Flexible firewall configurations
• Backup solutions
• Real-time network topology
• Latency measurement map
• Alpine Linux, Ubuntu, Debian, Windows OS, openSUSE and other operating systems
Since June 2024, Delska has merged 2 companies—DEAC European Data Center and Data Logistics Center (DLC). Both operate under their respective legal entities, which are owned by Quaero European Infrastructure Fund II.
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Google Compute Engine
Compute Engine (IaaS), a platform from Google that allows organizations to create and manage cloud-based virtual machines, is an infrastructure as a services (IaaS).
Computing infrastructure in predefined sizes or custom machine shapes to accelerate cloud transformation. General purpose machines (E2, N1,N2,N2D) offer a good compromise between price and performance. Compute optimized machines (C2) offer high-end performance vCPUs for compute-intensive workloads. Memory optimized (M2) systems offer the highest amount of memory and are ideal for in-memory database applications. Accelerator optimized machines (A2) are based on A100 GPUs, and are designed for high-demanding applications. Integrate Compute services with other Google Cloud Services, such as AI/ML or data analytics. Reservations can help you ensure that your applications will have the capacity needed as they scale. You can save money by running Compute using the sustained-use discount, and you can even save more when you use the committed-use discount.
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Dragonfly
Dragonfly serves as a seamless substitute for Redis, offering enhanced performance while reducing costs. It is specifically engineered to harness the capabilities of contemporary cloud infrastructure, catering to the data requirements of today’s applications, thereby liberating developers from the constraints posed by conventional in-memory data solutions. Legacy software cannot fully exploit the advantages of modern cloud technology. With its optimization for cloud environments, Dragonfly achieves an impressive 25 times more throughput and reduces snapshotting latency by 12 times compared to older in-memory data solutions like Redis, making it easier to provide the immediate responses that users demand. The traditional single-threaded architecture of Redis leads to high expenses when scaling workloads. In contrast, Dragonfly is significantly more efficient in both computation and memory usage, potentially reducing infrastructure expenses by up to 80%. Initially, Dragonfly scales vertically, only transitioning to clustering when absolutely necessary at a very high scale, which simplifies the operational framework and enhances system reliability. Consequently, developers can focus more on innovation rather than infrastructure management.
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RunPod
RunPod provides a cloud infrastructure that enables seamless deployment and scaling of AI workloads with GPU-powered pods. By offering access to a wide array of NVIDIA GPUs, such as the A100 and H100, RunPod supports training and deploying machine learning models with minimal latency and high performance. The platform emphasizes ease of use, allowing users to spin up pods in seconds and scale them dynamically to meet demand. With features like autoscaling, real-time analytics, and serverless scaling, RunPod is an ideal solution for startups, academic institutions, and enterprises seeking a flexible, powerful, and affordable platform for AI development and inference.
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Company Details
Company:
Broadcom
Year Founded:
1991
Headquarters:
United States
Website:
www.vmware.com/products/cloud-infrastructure/telco-cloud-platform
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