The Denvr Difference
High Performance Cloud - Clean-Energy Data Centres
Easily deploy containerized workloads via CLI, Helm charts, and pipelines. Get the benefits of managed bare-metal without the need to manage the underlying infrastructure.
Use a more traditional approach and directly manage Virtual Machine instances. You have full control to run secure applications and command-line tools.
Create and run serverless functions using open source frameworks like Fission.io and Kubeless. Support for many languages including NodeJS, Python, Ruby, Go, PHP, and any Linux executable.
Improve efficiency and scale your batch workloads with ease, whenever you need it. Set your processing priorities and complete your jobs at a time that makes sense for you.
Lower Costs With Total Control & Flexibility
Denvr's High Performance Cloud services are 40% - 80% lower cost than other HPCaaS providers. with the industry-leading computing performance.
Drastically reduce your costs and gain the full benefits and the flexibility of cloud computing. With Denvr, you no longer have to pay the high costs of on-demand computing when your workloads increase.
Industry Leading Advanced GPU Compute Infrastructure
Supplement oversubscribed or underpowered compute resources and reduce training & optimization times with Denvr. Seamlessly scale across multiple GPUs on one or more instances. Scalable multi-GPU support is based on NVLink A100 for 600 GB/s inter-node bandwidth. Multi-node distributed training is based on InfiniBand HDR 100 Gbps inter-node bandwidth, using Horovod or other frameworks.
Supercharged Stacks | All Major Frameworks and Drivers
Simplify your ML jobs. Denvr VM stacks come with all major ML frameworks and toolsets preinstalled. Tools such as PyTorch, TensorFlow, Scikit-learn, Keras, Caffe, including major deep learning frameworks Apache MXNet and NVIDIA Cuda (cuDNN).
What ever your preference, we likely support it.
Jupyter Notebooks As a Service
Run your Jupyter notebooks cheaper and faster on Denvr using NVIDIA A100 MIG (multi-instance GPU) for powerful and cost-effective computational notebooks, development environments and data science.
With full support for Python and other popular languages.
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