Why choose VAST Storage for GenAI?
VAST storage is purpose-built for GenAI, machine learning, and data-intensive applications. Here’s what makes it stand out:
- Blazing-fast performance: Flash-based architecture ensures low-latency data access.
- Seamless scalability: Expand storage as your datasets grow.
- Unified storage: Store structured and unstructured data in one place.
- GPU-optimized: Prevent compute bottlenecks with high-throughput data access.
- Fully managed: No infrastructure headaches—just mount and start using!
Key use cases for VAST Storage
- AI/ML training: Stream large datasets directly to your GPUs without slowdowns.
- Big Data processing: Effortlessly handle petabytes of structured and unstructured data.
- Collaboration & compliance: Securely share datasets while maintaining audit trails.
For a deeper dive into VAST storage and its architecture, check out our previous article.
How to get started with your 10 GiB VAST Storage quota
Follow these simple steps to create and use your VAST filesystem:
1. Create a VAST filesystem
- Log in to the Genesis Cloud Console.
- Navigate to Filesystems and click Create New Filesystem.
- Choose VAST as your storage type.
- Name your filesystem and click Create Filesystem, your storage will be provisioned instantly.
2. Launch an AI-optimized instance with Ubuntu ML
- In the Genesis Cloud Console, create a compute instance.
- Select the Ubuntu ML image, pre-installed with VAST NFS support.
- Launch the instance and connect via SSH.
3. Mount the filesystem on your instance
Update the package list:
sudo apt update
Create a directory for mounting:
sudo mkdir -p /mnt/my_storage
(Replace my_storage with a custom name of your choice if preferred.)
Mount the VAST storage:
sudo mount -o proto=tcp,vers=3,nconnect=16,spread_writes,spread_reads,remoteports=10.24.11.10-10.24.11.48 10.24.11.40:/<mount_path> /mnt/my_storage
Modify these values:
- IP Address: Replace
10.24.11.40 with any IP from 10.24.11.10 - 10.24.11.48. - Mount Base Path: Replace
<mount_path> with the actual mount path from your filesystem in the console. - Mount Directory: Change
/mnt/my_storage if using a different directory.
Verify the mount:
df -h
You should see your VAST storage listed.
4. Start using your VAST Storage
Once mounted, you can:
- Store and retrieve large AI datasets.
- Stream files directly into training workflows.
- Share data securely across multiple instances.
- Create directories and files within your mounted storage.
Get started today!
Your 10 GiB VAST storage quota is ready to use. Log into your Genesis Cloud account, create a filesystem, and accelerate your AI workflows today!
If you need more storage, contact our sales team to expand your storage capacity.
Keep accelerating!
The Genesis Cloud team 🚀
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