Description
License term: 1-Year Subscription. Subscription access is limited to the licensed term; this is not a perpetual license. Continued subscription access after expiry requires renewal or a new subscription.
Product Overview
Overview
The Media Composer Cloud VM Option 1-Year Subscription provides a powerful, scalable infrastructure solution for professional editors and post-production houses. By leveraging cloud-based virtual machines, this option allows users to move their editing workflow into a high-performance cloud environment, ensuring that project data is accessible and editable from anywhere without the limitations of local hardware.
This subscription is designed to eliminate the bottlenecks of traditional hardware by providing a managed service for storing and processing unstructured media data. It transforms your storage into an AI-ready foundation, allowing for seamless retrieval and high-throughput performance for demanding media workloads.
What Stands Out
Key Details
- Flexible Storage Classes: Access multiple storage tiers including Standard, Nearline, Coldline, and Archive to balance cost and accessibility.
- Rapid Cache Integration: Utilizes an intelligent SSD-backed read cache for Region, Dual-region, or Multi-region buckets, delivering low latency and high throughput up to 20 Tbps.
- Storage Intelligence: Unified management tools to analyze large storage estates, derive cost and security insights, and perform batch operations on millions of objects.
- Advanced Data Transfer: Includes high-performance online pathways via Storage Transfer Service and secure movement via Cloud FTP (SFTP).
- Enterprise Security: Integrated Cloud Identity and Access Management (IAM) for granular control over who can access specific buckets and objects.
Best For
Use Cases
- Remote Collaboration: Ideal for composing, production, and editing sessions where multiple users need access to the same project files across different geographic locations.
- High-Scale Media Delivery: Perfect for users setting up a Media CDN for planet-scale delivery of video and audio assets.
- Hybrid Render Farms: Building hybrid render farms that utilize cloud storage to scale compute resources during peak production periods.
- AI/ML Workflows: Storing training data, models, and checkpoints for machine learning projects using Cloud Storage FUSE for filesystem compatibility.
Setup Notes
Installation
After checkout, follow the publisher instructions for download, authorization, and installation. Users should ensure they have their account information and serial numbers available during the setup process. For those integrating with existing workflows, follow the provided documentation for DAW/plugin scanning and virtual machine configuration.
Compatibility Check
Compatibility
- Filesystem Compatibility: Supports Cloud Storage FUSE, allowing the cloud storage to be used as a local filesystem for applications requiring filesystem semantics.
- AI/ML Optimization: Optimized for GKE (Google Kubernetes Engine) and AI workloads, offering caching that can provide up to 2.2x faster training times.
- Data Transfer: Compatible with SSH File Transfer Protocol (SFTP) via Cloud FTP.
- Infrastructure: Compatible with Region, Dual-region, and Multi-region bucket configurations.
Additional Details
- Manufacturer: Cloud Microphones
- Manufacturer ID: 394497
- Edition: 1-Year Subscription
- Delivery Format: Software / Virtual
- Delivery Format: Download / Digital License
- Platform: Cloud VM
- SKU: 394497
- Disk Space: Use Cloud Storage as a local filesystem Cloud Storage is a common choice for storing training data, and checkpoints for machine learning projects in Cloud Storage buckets. With Cloud Storage FUSE, and simplicity that Cloud Storage provides, while maintaining compatibility with applications that use or require filesystem semantics. Cloud Storage FUSE also now offers caching, compared to native ML framework dataloaders. Learn how Cloud Storage FUSE is optimized for GKE and AI workloads Fast and flexible transfer services Storage Transfer Service offers a highly performant, and block storage options . Automatically transition to lower-cost storage classes Standard, and archive storage options Fast
- Disk Space: Compatibility: Use Cloud Storage as a local filesystem Cloud Storage is a common choice for storing training data, and checkpoints for machine learning projects in Cloud Storage buckets. With Cloud Storage FUSE, and simplicity that Cloud Storage provides, while maintaining compatibility with applications that use or require filesystem semantics. Cloud Storage FUSE also now offers caching, compared to native ML framework dataloaders. Learn how Cloud Storage FUSE is optimized for GKE and AI workloads Fast and flexible transfer services Storage Transfer Service offers a highly performant, and block storage options . Automatically transition to lower-cost storage classes Standard, and archive storage options Fast
- Disk Space: Cloud Storage FUSE
- Disk Space: SFTP
- Additional Details: Use Cloud Storage as a local filesystem Cloud Storage is a common choice for storing training data, and checkpoints for machine learning projects in Cloud Storage buckets. With Cloud Storage FUSE, and simplicity that Cloud Storage provides, while maintaining compatibility with applications that use or require filesystem semantics. Cloud Storage FUSE also now offers caching, compared to native ML framework dataloaders. Learn how Cloud Storage FUSE is optimized for GKE and AI workloads Fast and flexible transfer services Storage Transfer Service offers a highly performant, and block storage options . Automatically transition to lower-cost storage classes Standard, and archive storage options Fast
- Requirements Source: manufacturer or supplier product documentation (https://cloud.google.com/storage).
- Requirements Source: manufacturer or supplier product documentation (https://dealers.halleonard.com/product/viewproduct.action?itemId=394497).
- Requirements Source: manufacturer or supplier product documentation (https://support.microsoft.com/en-us/onedrive/what-is-microsoft-cloud-storage).
- Compatibility: Use Cloud Storage as a local filesystem Cloud Storage is a common choice for storing training data, and checkpoints for machine learning projects in Cloud Storage buckets. With Cloud Storage FUSE, and simplicity that Cloud Storage provides, while maintaining compatibility with applications that use or require filesystem semantics. Cloud Storage FUSE also now offers caching, compared to native ML framework dataloaders. Learn how Cloud Storage FUSE is optimized for GKE and AI workloads Fast and flexible transfer services Storage Transfer Service offers a highly performant, and block storage options . Automatically transition to lower-cost storage classes Standard, and archive storage options Fast
- Compatibility: Compatibility: Use Cloud Storage as a local filesystem Cloud Storage is a common choice for storing training data, and checkpoints for machine learning projects in Cloud Storage buckets. With Cloud Storage FUSE, and simplicity that Cloud Storage provides, while maintaining compatibility with applications that use or require filesystem semantics. Cloud Storage FUSE also now offers caching, compared to native ML framework dataloaders. Learn how Cloud Storage FUSE is optimized for GKE and AI workloads Fast and flexible transfer services Storage Transfer Service offers a highly performant, and block storage options . Automatically transition to lower-cost storage classes Standard, and archive storage options Fast
- Supported Operating Systems: Cloud Storage FUSE
- Supported Operating Systems: Cloud VM
- RAM Requirements: GKE (Google Kubernetes Engine)
- RAM Requirements: Cloud Storage FUSE
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