Application Platform
Optimize inference and fine-tuning with integrated development tools, all on fully managed GPU instances.
How it works
The Application Platform accelerates AI development by providing comprehensive lifecycle support from concept to deployment. It facilitates data management, offers popular ML tools and libraries with interfaces like Python Notebooks, APIs, and SDKs to streamline model development and deployment.
Accelerate AI development
Easily scale your pods, optimize resource utilization and ensure reliability, security and availability.
Optimize your inference
Model catalog to load leading open-source models like Llama-3, Mixtral 8x7b, Stable Diffusion, Google Gemma, and more from local storage
Models from a single place, ensuring streamlined operations
Scale cold models to zero, provisioning compute only when needed to reduce costs.
Scale your fine-tuning
Run more jobs by firing up hundreds of prioritized batch jobs in a pre-defined queue, allowing you to manage workloads efficiently
Distribute your fine-tuning workloads to multiple nodes of GPUs with a single command line.
Support for Python frameworks, from Ray to PyTorch Lightning and DeepSpeed.
Dedicated instances for any model
Choose any type of model, open-source, fine-tuned, or models you’ve trained yourself.
Select your desired hardware configuration, including the number of instances to deploy and the scale for auto-scaling.
Optimize for fast latency or high throughput by simply adjusting the max batch size.
Build faster with pre-configured workspaces
Create pre-defined environments with all your tools, libraries, and data in one place.
Connect to your preferred IDE tools such as Jupyter Notebook, PyCharm, and VSCode.
Mount any data source to your workspace and store outputs and artifacts in traceable storage volumes.
Opinions about GMI
“GMI Cloud is executing on a vision that will position them as a leader in the cloud infrastructure sector for many years to come.”
“GMI Cloud’s ability to bridge Asia with the US market perfectly embodies our ‘Go Global’ approach. With his unique experience and relationships in the market, Alex truly understands how to scale semi-conductor infrastructure operations, making their potential for growth limitless.”
“GMI Cloud truly stands out in the industry. Their seamless GPU access and full-stack AI offerings have greatly enhanced our AI capabilities at UbiOps.”
Get started today
Give GMI Cloud a try and see for yourself if it's a good fit for AI needs.
Starting at
$4.39/GPU-hour
As low as
$2.50/GPU-hour
Frequently asked questions
Get quick answers to common queries in our FAQs.
What types of GPUs do you offer?
We offer NVIDIA H100 GPUs with 80 GB VRAM and high compute capabilities for various AI and HPC workloads. Discover more details at pricing page.
How do you manage GPU clustering and networking for distributed training?
We use NVIDIA NVLink and InfiniBand networking to enable high-speed, low-latency GPU clustering, supporting frameworks like Horovod and NCCL for seamless distributed training. Learn more at gpu-instances.
What software and deep learning frameworks do you support, and how customizable is it?
We support TensorFlow, PyTorch, Keras, Caffe, MXNet, and ONNX, with a highly customizable environment using pip and conda.
What is your GPU pricing, and do you offer cost optimization features?
Our pricing includes on-demand, reserved, and spot instances, with automatic scaling options to optimize costs and performance. Check out pricing.
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Empowering humanity's AI ambitions with instant GPU cloud access.
2860 Zanker Rd. Suite 100 San Jose, CA 95134
