MASV x Qumulo: Transforming Data Ingest and High-Performance Workflows

Handling high-volume data ingest is hard, but handling it fast and efficiently is a whole other mountain to climb. M&E pros and AI researchers alike know this problem all too well: How to ingest and move massive datasets quickly and securely without hitting time-robbing bottlenecks?

That’s why MASV and Qumulo have joined forces: To create a high-performance data ingest and access pipeline. Combining MASV’s powerful file transfer capabilities with Qumulo’s scalable, high-performance cloud-native file system provides an efficient pipeline for ingesting and accessing terabytes of unstructured data.

Let’s get into how the integration works, its real-world benefits, and why it’s a necessity for workflows involving large-scale media production and data-driven AI projects.

• MASV x Qumulo: Scale Anywhere, Ingest Anywhere
• Getting Started with MASV and Qumulo on AWS
• Key Features for Modern Data Workflows
• MASV x Qumulo: Send it, Store it, Scale it

MASV x Qumulo: Scale Anywhere, Ingest Anywhere

For M&E and AI professionals, data isn’t just a byproduct of work—it is the work. Whether you’re handling 8K film dailies, vast AI training datasets, or complex VFX sequences, the ability to ingest and scale data seamlessly determines how fast you can produce results.

• Traditional on-prem workflows struggle to keep pace with the scale and speed required for modern content creation and machine learning.
• This forces teams to fight against slow uploads, storage bottlenecks, and rigid infrastructure—all while racing against the clock of imminent deadlines.

MASV and Qumulo CNQ on AWS are redefining cloud-first workflows, giving users the ability to ingest big data from anywhere with MASV and scale anywhere with Qumulo CNQ.

Ingest big data volumes with MASV

MASV is built for simplicity, reliability, and speed right out of the box and can reliably handle large file packages of virtually any size.

• For AI researchers, this means terabytes of training data can be uploaded without interruption, even from unstable networks. MASV ensures these datasets are uploaded securely and land exactly where they need to go.
• For M&E professionals, it means production teams can ingest original camera files and process dailies to the cloud instantly. Faster access means getting more stuff done. Editors and VFX teams can even combine Multiconnect with MASV’s Growing Files feature to begin work before the last truck pulls out of the studio lot.

Since MASV is browser-based, it requires no installation or other IT headaches—just grab your files and start uploading. Its auto-resume and checkpoint restart features ensure that uploads pick up right where they left off, even if your connection drops. And MASV’s acceleration technology utilizes as much of your internet bandwidth as you allow it, without bullying other users on the network.

Clients can also engage MASV Multiconnect channel bonding in the MASV Desktop App to improve transfer speed and reliability from practically anywhere on Earth.

Instead of relying on a single network connection, Multiconnect bonds multiple internet sources—Ethernet, Wi-Fi, and even mobile data—to create a high-bandwidth, fault-tolerant pipeline for file transfers for faster, more reliable uploads even from locations with poor connectivity

Cloud-first foundation with Qumulo CNQ

Once data is uploaded, it needs to be accessible, scalable, and performant, and this is where Qumulo CNQ on AWS delivers.

Unlike traditional storage solutions that require hardware scaling and manual capacity planning, Qumulo CNQ is designed to scale dynamically with your workload—whether that means thousands of concurrent AI model reads, or streaming 8K VFX plates to cloud workstations in real-time.

Why Qumulo CNQ is built for cloud-first workflows:

• Elastic storage expansion: Instantly scale from terabytes to petabytes without performance drops or storage migrations.
• High-performance file system: Unlike object storage, Qumulo CNQ provides low-latency, high-throughput access—crucial for AI model training and real-time media processing.
• Global accessibility: Workstations anywhere in the world can stream, edit, and analyze directly from Qumulo CNQ, with no need to sync or download massive files.
• Automated data management: Intelligent tiering lets you move data between high-performance storage and archival S3 tiers seamlessly, optimizing costs without sacrificing accessibility.

AI teams can train deep learning models without worrying about storage limits via Qumulo CNQ’s cloud-native architecture. At the same time, M&E production houses can ingest, edit, and distribute content entirely in the cloud, reducing infrastructure costs and speeding up delivery.

MASV x Qumulo: A unified cloud workflow

MASV’s ultra-fast, cloud-native ingest combined with Qumulo CNQ’s instantly scalable storage enables a true cloud-first workflow:

• AI teams can continuously ingest new datasets and immediately begin analysis or training.
• VFX studios can dynamically scale rendering and compositing workloads without waiting on slow file transfers.
• Media production teams can seamlessly share assets across global teams, from shoot to final delivery.

With MASV, your files arrive faster. With Qumulo CNQ, your data scales instantly. No bottlenecks, and no wasted time—just high-performance, cloud-first workflows designed for the future.

Getting Started with MASV and Qumulo on AWS

Getting started with MASV and Qumulo is as easy as signing up for MASV, setting up your account, and linking it to your Qumulo CNQ storage:

Step 1: Gather your information

Before you start, make sure to have the following details ready:

• Qumulo Bucket Name: The storage location in Qumulo where you want files delivered. See Qumulo documentation for setup instructions.
• Access Key ID and Secret: Credentials for authenticating with Qumulo. Refer to Qumulo documentation.
• Endpoint Address: Your Qumulo cluster or dashboard’s address.
• Target File Path: Directory within the bucket where files should be stored.

Step 2: Connect MASV to Qumulo

1. Log in to the MASV Web App as a Team Owner or Admin.
2. Navigate to Integrations on the left sidebar.
3. Select the Available Integrations tab and choose Qumulo on S3.
4. Fill in the fields in the Add Integration window:
   1. Connection Name: Create a descriptive name for your integration.
   2. Bucket: Enter the Qumulo bucket name.
   3. Access Key ID: Paste your Qumulo Access Key ID.
   4. Secret Access Key: Paste your Qumulo Secret.
   5. Endpoint: Enter the Qumulo cluster address.
5. (Optional) Define additional configurations:
   1. Target Directory: Specify a relative path for file delivery. This can be edited later in the MASV Web App.
   2. Parent Folder Options: Leave unchecked to save files using the package name as a directory. Check the box to deliver files directly into the target directory.
6. Click Connect to save the integration.

Step 3: Refresh and test

• Refresh the integrations page to update and verify the connection status.
• Run a small test upload using MASV to ensure files land in the designated Qumulo directory.

Step 4: Link your MASV Portals
Take your workflow even further by linking this integration with a MASV Portal for automated data ingest:

1. Create or select an existing Portal in MASV.
2. Enable the Qumulo integration with the Portal.
3. Share the Portal link with collaborators for automated uploads directly to Qumulo storage.

Step 5: Start Uploading!

• Use your MASV Portal to drag and drop files (yes, it’s that easy).
• Monitor real-time upload progress and receive notifications once files are delivered.

Key Features for Modern Data Workflows

Let’s dive deeper into what makes this integration critical for modern workflows, especially for those leveraging infrastructure in the cloud:

Efficient data ingest

Moving petabyte-scale data can feel like moving mountains: Slow, resource-intensive, and previously only possible in fantasy novels. MASV eliminates this bottleneck with high-speed, intuitive file transfers, ensuring your data gets where it needs to go without delays.

Optimized media workflows

For M&E professionals, the speed and reliability of MASV + Qumulo enables seamless collaboration across teams. Editors can access and edit raw footage instantly, VFX artists can start creating and rendering without delay, and everyone can create and iterate faster. In a world where time is money, this kind of efficiency is gold.

AI-ready, scalable storage

Training AI models requires immense datasets. Qumulo’s scalable infrastructure ensures cloud storage scales with your needs, while MASV ensures datasets are uploaded quickly and reliably. This removes friction from data-heavy workflows, helping teams stay focused on innovation.

Enterprise-grade security and compliance

MASV’s out-of-the-box enterprise-grade security and compliance tools include TLS and AES-256 encryption on in-flight and at-rest data.  MASV is a Gold member of the Trusted Partner Network (TPN) vendor roster and is compliant with SOC 2 and ISO 27001.