CloudBender™ lets you connect your on-prem and cloud GPUs to the trainML platform and seamlessly run jobs on any CloudBender enabled system. When you start a notebook or submit a job, CloudBender will automatically select the lowest cost available resource that meets your hardware, cost, data, and security specifications.
NVIDIA NGC Catalog Integration
trainML is making it even easier to run any GPU-enabled workload by allowing customers to use job images directly from NVIDIA's NGC Catalog.
Collaborative Projects for Resource Sharing
Teams can now create collaborative projects to share access to jobs, datasets, and models.
Customer Provided Job Environments
Customers with prebuilt docker images can now use them as the job environment for any job type.
REST Endpoints for Inference
The trainML platform has been extended to support deploying models as REST API endpoints. These fully managed endpoints give you the real-time predictions you need for production applications without having to worry about servers, certificates, networking, or web development.
Automatic Dependency Installation
trainML jobs now accept lists of packages that will be installed using apt, pip, or conda as part of the job creation process and will automatically install dependencies found in the
requirements.txt file in the root of the model code working directory.
Consolidated Account Billing
Now your entire team or organization can share a single credit balance managed by a central account.
Load Model Code Directly From Your Laptop
You can now start any job type from model code stored on your local computer without committing the code to a git repository. In combination with the trainML CLI, starting a notebook from your local computer is as simple as:
trainml job create notebook --model-dir ~/model-code --data-dir ~/data "My Notebook"
Start Training Models With One Line
trainml job create notebook "name"`
RTX 3090 (BFGPU) Instances Now Available
Enjoy the "big ferocious" performance of NVIDIA's Ampere-based RTX 3090 for less than $1 an hour. Supplies are limited so reserve one while you can.