About Networke

Networke is a cloud platform designed specifically for AI developers, offering cost-effective, secure, and high-performance GPU solutions.Built with flexibility and efficiency in mind, Networke leverages advanced cloud infrastructure to simplify large-scale machine learning model training. From on-demand instances to private cloud services, Networke provides everything you need to achieve your AI goals.

What makes Networke stand out? How do we achieve it?

Extensive NVIDIA GPU Options Networke offers a wide range of NVIDIA GPUs, optimized to fit diverse workloads and budgets. Whether you're working on Generative AI, machine learning, large language model (LLM) inference, VFX rendering, or pixel streaming, Networke ensures large-scale efficiency tailored to your needs.
Fully Managed Services Say goodbye to the complexity of managing Kubernetes. Networke handles control-plane management, node scheduling, scaling, and cluster administration. Focus on deploying workloads with standard Kubernetes tools, workload managers like Slurm and Argo Workflows, or our user-friendly Cloud UI. If it runs in a Docker container, it runs seamlessly on Networke.
Bare Metal Performance All workloads run on bare-metal nodes, eliminating virtualization and resource contention. The resources you select are fully dedicated to your Pods. Billing is hourly, with per-minute precision, so you only pay for what you use.
Serverless Kubernetes Architecture Networke combines the convenience of serverless architecture with the power of Kubernetes. Deploy your code, manage your data, and integrate applications without worrying about infrastructure. With Knative, Networke enables autoscaling from hundreds to thousands of GPUs and scales down to zero during low demand.
Advanced Networking Networke's cloud-native networking incorporates Kubernetes principles, integrating firewall and load-balancing functions into the network fabric. NDR InfiniBand delivers up to 3.2 Tbps of non-blocking bandwidth per node for direct GPU-to-GPU communication. Single-region and multi-region Layer 2 VPCs are available for specialized use cases.
High-Performance Storage Networke's NVMe file system supports multiple Pods and delivers up to 10 million IOPS per volume, making it ideal for distributed ML training, VFX rendering, batch processing, and pixel streaming for the metaverse. Accelerated object storage, combined with Networke’s optimization, can load PyTorch inference models in under five seconds, enhancing efficiency for intensive workloads.

This is Networke, empowering you to handle compute-intensive tasks at scale with ease.

NextWhy Choose Networke

Last updated 4 months ago

About Networke

What makes Networke stand out? How do we achieve it?

Extensive NVIDIA GPU Options Networke offers a wide range of NVIDIA GPUs, optimized to fit diverse workloads and budgets. Whether you're working on Generative AI, machine learning, large language model (LLM) inference, VFX rendering, or pixel streaming, Networke ensures large-scale efficiency tailored to your needs.
Fully Managed Services Say goodbye to the complexity of managing Kubernetes. Networke handles control-plane management, node scheduling, scaling, and cluster administration. Focus on deploying workloads with standard Kubernetes tools, workload managers like Slurm and Argo Workflows, or our user-friendly Cloud UI. If it runs in a Docker container, it runs seamlessly on Networke.
Bare Metal Performance All workloads run on bare-metal nodes, eliminating virtualization and resource contention. The resources you select are fully dedicated to your Pods. Billing is hourly, with per-minute precision, so you only pay for what you use.
Serverless Kubernetes Architecture Networke combines the convenience of serverless architecture with the power of Kubernetes. Deploy your code, manage your data, and integrate applications without worrying about infrastructure. With Knative, Networke enables autoscaling from hundreds to thousands of GPUs and scales down to zero during low demand.
Advanced Networking Networke's cloud-native networking incorporates Kubernetes principles, integrating firewall and load-balancing functions into the network fabric. NDR InfiniBand delivers up to 3.2 Tbps of non-blocking bandwidth per node for direct GPU-to-GPU communication. Single-region and multi-region Layer 2 VPCs are available for specialized use cases.
High-Performance Storage Networke's NVMe file system supports multiple Pods and delivers up to 10 million IOPS per volume, making it ideal for distributed ML training, VFX rendering, batch processing, and pixel streaming for the metaverse. Accelerated object storage, combined with Networke’s optimization, can load PyTorch inference models in under five seconds, enhancing efficiency for intensive workloads.

This is Networke, empowering you to handle compute-intensive tasks at scale with ease.

NextWhy Choose Networke

Last updated 4 months ago