GMI Cloud provides instant access to NVIDIA H100 GPUs for training and deploying generative AI applications, utilizing a Kubernetes-based cluster engine for efficient workload orchestration. This platform addresses the need for rapid GPU provisioning and management, enabling developers to focus on building AI models without the complexities of infrastructure setup.
Funding
$142M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
HAFounders
Product
Problem
Training and deploying generative AI models requires significant computational resources, particularly access to high-performance GPUs. Acquiring and managing this infrastructure can be complex and time-consuming, diverting developer focus from model development and deployment. Traditional cloud GPU provisioning often involves long wait times and intricate setup procedures.
Solution
GMI Cloud provides on-demand access to NVIDIA H100 and H200 GPUs, streamlining the process of training and deploying generative AI applications. The platform utilizes a Kubernetes-based cluster engine to efficiently orchestrate workloads, enabling developers to quickly allocate, deploy, and monitor GPU resources. GMI Cloud offers pre-configured containers with popular machine learning frameworks, as well as the option to use custom Docker images. The platform aims to reduce infrastructure management overhead, allowing users to concentrate on building and refining AI models.
Target Audience
GMI Cloud targets AI developers, machine learning engineers, and data scientists who require scalable GPU resources for training and deploying generative AI models.
Features
- Instant access to NVIDIA H100 and H200 GPUs
- Kubernetes-based cluster engine for workload orchestration and resource management
- Pre-configured containers with TensorFlow, PyTorch, Keras, Caffe, MXNet, and ONNX
- Support for custom Docker images
- High-performance inference capabilities
- Integration with NVIDIA NIMs
- Global data centers for low latency and high availability
- Automatic scaling options for cost and performance optimization