File Transfer
Large File Transfer
Introducing INNORIX Large File Transfer, which transfers files as-is regardless of size and continues from the point of interruption.
NO SIZE LIMIT
Transfers files the same way from start to finish, no matter how large they get.
The definition of a large file isn't fixed to a single number.
Even a 500MB file can be burdensome enough if it has to be transferred repeatedly or the Network is unstable, and for tens of GB of video, hundreds of GB of research data, or TB-scale Datasets, the transfer time and the cost of resending after a failure grow far larger.
Instead of adding a separate workflow for each file size, INNORIX Large File Transfer transfers the original file as-is, continues after an interruption, and operates large-scale Data Movement as a single Transfer.
SIZE VS BURDEN
The standard for "large" starts from the burden of the Transfer, not just the file size.
In some environments, a 500MB file can be perfectly ordinary; in others, the same file can create a recurring operational burden.
Rather than file size itself, transfer time, Network conditions, the cost of resending after a failure, and how often the task recurs are what actually define a large Transfer.
That's why, instead of switching to a separate product past a certain size, INNORIX applies the Transfer Capability needed as files grow larger within the same structure.
ORIGINAL FILE
Starts the Transfer with the original file, exactly as it is.
Having the user first split a large file into pieces or create a compressed archive, then reassemble it at the Target, creates extra work beyond the Transfer itself.
Manual Workflow
INNORIX
You can select the original file as-is at the Source and deliver it all the way to the Target.
No Manual Splitting · No Pre-Compression · No Reassembly Work
This reduces the time spent preparing data in a different form for Transfer and transfers the actual file used in the work itself.
DIRECT DATA PATH
Connects the Source and Target with a Direct Data Path.
For large files, every additional Data Path added increases the amount of data that has to move, one-for-one.
For example, if a 1TB file is first copied to an Intermediate Server and then sent on to the Target, the same file ends up traveling across two segments.
Intermediate Architecture
Source
INNORIX Platform Control Plane
Target
Transfer Control and Monitoring are handled on the Platform, while the actual Data Movement is configured directly between the Source and Target that need it.
RESUME
Continues the Transfer from the point where it was interrupted.
The larger the file, the longer the Transfer runs, and the higher the cost of resending from the beginning if a problem occurs partway through.
1TB Transfer
INNORIX maintains Transfer State and is built to continue the transfer from the necessary point using Resume, Partial Transfer, and Recovery.
In a long-running Transfer, a momentary Network failure is not allowed to escalate into resending the entire file; work continues based on the Data already completed.
REPEATED FAILURES
Keeps progress toward completion even through repeated failures.
In real Networks, there's no guarantee that a failure will occur only once during a single Transfer.
In long-distance WANs, Mobile Networks, Remote Sites, and unstable environments, connection changes and Packet Loss can occur multiple times.
Rather than treating each failure as a new Transfer, INNORIX manages it as part of the process of a single Transfer reaching completion.
The longer a Transfer runs, the more the overall completion time is determined not just by top speed but by how reliably it continues after an interruption.
THROUGHPUT FACTORS
Connects the available Network to actual Transfer Throughput.
For large files, even with high Network Bandwidth, the actual file transfer may fail to fully utilize that Bandwidth.
Latency, Packet Loss, Storage I/O, File Processing, and the Transfer method together determine the actual throughput.
INNORIX aims to increase not just the raw Link Speed, but the actual Transfer Throughput achievable from Source to Target.
PARALLEL SESSIONS
Uses Parallel Transfer to make efficient use of the Data Path.
In environments where a single Transfer Session cannot sufficiently use the full Network Capacity, multiple Sessions and Parallel Processing can be used instead.
Source
Target
Through Parallel Sessions and Dynamic Concurrency, the Transfer is handled to match the Source, Target, and Network environment.
The goal isn't simply to increase the number of Sessions, but to put the Capacity available in the current Infrastructure to actual use in the File Transfer.
LONG-DISTANCE
Maintains Transfer performance even over long-distance Networks.
Even on the same 10Gbps Network, the actual performance of a Transfer within the same Data Center can differ from a Transfer crossing countries or continents.
As distance increases, the impact of RTT and Packet Loss grows, and it can become harder for a single connection to fully utilize the available Bandwidth.
LOCAL
Server A
Server B
LONG DISTANCE
Seoul
New York
INNORIX applies Parallel Transfer and Long-Distance Optimization to convert available Bandwidth into actual Transfer Throughput, even over long-distance Networks.
The same Transfer Model can be applied to Transfers between Data Centers, moves between Cloud Regions, and Data Movement between global Sites.
MULTI-NETWORK
Combines multiple Networks into a single Transfer Capacity.
In environments where the Source and Target have multiple Network Interfaces or available Network Paths, the Transfer doesn't have to depend on a single Network — multiple connections can be used together.
Source
Target
In a Multi-Network environment, the Capacity of multiple Networks can be used for Data Movement to expand the overall throughput of a large Transfer.
The actual scope of application is configured to match the Source, Target, and Network Configuration.
END-TO-END PATH
Treats Storage and Network as a single, unified Transfer Path.
In large file transfer, having a fast Network alone doesn't make the entire Transfer fast.
If the speed at which the Source reads data or the Target writes data is slower than the Network, Storage becomes the Bottleneck for the entire Transfer.
So actual Transfer performance is determined across this entire path.
Source Read → Transfer Processing → Network → Target Write
Instead of looking at Network Throughput in isolation, INNORIX operates the Transfer based on the entire Data Path the actual File travels, from Source Storage to Target Storage.
SHARED NETWORK
Operates Transfer Capacity to fit a shared Network.
An Enterprise Network is not used for file transfer alone.
Applications, Databases, Backups, User Traffic, and other Services can all share the same Network.
Network
Queue / Concurrency / Capacity
Through Parallel Transfer, Dynamic Concurrency, and Queue, multiple Transfers are operated while managing the Transfer Capacity available within the shared Infrastructure.
Rather than assuming a separate, dedicated Network for large files, the Transfer can be configured within the existing Network environment.
CONCURRENT TRANSFERS
Scales from a single large file to concurrent Transfer of multiple files.
Large File Transfer doesn't always mean just a single file.
Multiple users may need to send large files at the same time, or Large Datasets may need to be delivered simultaneously from multiple Servers.
Targets
INNORIX manages not only the Throughput of individual Large Files but also Queue, Concurrency, and Capacity together whenever multiple Transfers run at the same time.
SAME DATASET
Handles Large File and High-Volume within the same Dataset.
A real Dataset may not consist of just a single large file.
Hundreds of GB of video, thousands of Metadata Files, a large Model, and numerous Supporting Files can all move together.
Even within a single Dataset, Transfer processing is applied to match File Size and File Count, while the entire job is managed as a single Run.
CLEAR RESULT
Confirms the Transfer result clearly as files get larger.
When a file of several TB has been delivered over a long period of time, simply knowing that the Process has ended may not be enough.
RUN-1842
INNORIX lets you check, through Run, File Status, and Receipt, which file was delivered how far and what final result it completed with.
The longer a Transfer runs, the more important it becomes to check progress and the final result on the same operations screen.
INTEGRITY
Manages transfer and Integrity as a single completion process.
For large files, the accuracy of the final result matters just as much as transfer speed.
Problems that occur during the Transfer are handled through Recovery, and after completion, the final state is confirmed through the File Result.
Operators manage the Transfer based not only on "how quickly it arrived" but also on "whether the file that was actually needed completed successfully."
AUTOMATION
Automates recurring large-file Transfers.
A large file might be a one-time Migration, or it might be a task that repeats daily or weekly.
Dataset Ready → Large File Transfer → Result → Next Flow / Callback
Through Schedule, Event, and API, Large File Transfer can be connected to Automated File Transfer, and the transfer completion result can be used as the starting condition for the next task.
MANY ENDPOINTS
Connects diverse Sources and Targets through the same Large File Transfer.
Large files don't move only between Servers.
Source
INNORIX
Even as the type of Endpoint changes, the same Transfer Model of Large File, Resume, Recovery, and Result is applied.
ACROSS INDUSTRIES
Uses the same Transfer Engine, from Video to AI Dataset.
There are many different industries and tasks that need large file transfer.
Even though the type of work differs, the need to deliver large files quickly, keep long-running Transfers going, and confirm the final result is common to all of them.
INFRASTRUCTURE CAPABILITY
Connects Transfer as a capability of the Infrastructure, not just a task for the user.
Large file transfer can be run directly by an operator from the Console, but it can also run as part of an Application, Automation, or an existing Workflow.
By using the same Large File Transfer Engine across a variety of Interfaces, large-file transfer expands from a separate task into a common Capability of Enterprise Data Movement.
ONE OPERATING MODEL
Keeps to a single operating model, no matter how large the files get.
Instead of building a separate Transfer environment for each large file case, you can use the same operating model as other Data Movement on the INNORIX Platform.
The Large File Transfer Capability can be used together across Server-to-Server, Object Storage, Web Upload, Distribution, Automated Transfer, and AI Data Delivery.
TEST ENVIRONMENT
10TB isn't the definition of "large" — it's one point of validation.
Large files don't start at 10TB.
Depending on the work environment, the burden of a Transfer can start at just a few hundred MB, and INNORIX's Scale Test exists to confirm how far that Transfer Architecture can handle increasing file sizes.
Tested Single File
What matters isn't turning a specific number into the definition of "large" — it's whether the same Transfer, Recovery, and Operation Model can be maintained as files grow larger.
GET STARTED
Scale your Transfer Capability to match your file sizes.
From a few hundred MB of work files to TB-scale Datasets, transfer the original file as-is, make use of the available Network Capacity with Parallel Processing, and continue the same Transfer after an interruption with Resume and Recovery.
Apply the same Large File Transfer across Server, Cloud, Object Storage, and AI Compute, and check the final result through Run and Receipt.
Considering large file transfer?
We'll help you review a stable large file transfer setup that fits your file size and transfer environment.
- Review of environments from GB to TB-scale files
- Transfer configuration that accounts for pause and resume
- Guidance on automating recurring large file transfers