Workflows

The PixMover Platform streamlines four primary workflows

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POINT-TO-POINT

Leveraging compression algorithms and the PixMover Appliance, the Platform achieves transfer rates exceeding 25Gb/s. This breakthrough performance means PixMover effectively transmits data at more than double the line rate of the connection.

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Highlights
Example: VFX - Studio to Vendor

A global film studio needs to securely transfer 20TB of uncompressed 8K raw footage from its Los Angeles post-production house to a remote VFX vendor in London. A PixMover Appliance is set up at both locations. Leveraging PixMover's advanced compression and acceleration capabilities, the studio initiates the transfer, which is completed in just 6 hours. This allows the London team to begin processing the footage immediately upon arrival, ensuring the tight production schedule is met and saving significant operational time. Without PixMover, transferring this massive dataset over a 10Gb/s connection would take approximately 16 hours.

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CLOUD TRANSFER

Efficient data migration provides a massive savings in cloud workflows by cutting the payload in half (e.g., reducing a 10TB transfer to 5TB or less), drastically reducing expensive egress costs when pulling data back from the cloud.

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Highlights
Example: Genomics - On-prem to Cloud

A major pharmaceutical research lab needs to move 15TB of genomic sequencing data stored on an on-premises server to a cloud provider for advanced machine learning analysis. A PixMover Appliance is located where the on-premises storage resides, enabling the platform to compress the dataset before the upload begins. This Cloud Transfer workflow immediately reduces the effective data payload from 15TB down to approximately 7.5TB. This drastic reduction cuts both the initial upload time and the long-term storage costs. Furthermore, when the lab later needs to pull the processed data back for final validation, the reduced size cuts the expensive cloud egress fees by half, leading to massive cost savings on the entire cloud workflow.

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STORAGE OPTIMIZATION

The ability to perform in-place compression and keeping data in the optimized PXZ format maximizes storage capacity. Organizations can effectively double their available storage footprint without requiring new hardware investments.

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Highlights
Example: Government - Storage Capacity Saving

A County Records Department manages massive volumes of archived uncompressed scanned property deeds and historical aerial images that must be perpetually accessible. This image data currently occupies 800TB of their high-speed, costly storage array, which is rapidly approaching capacity, hindering their ability to digitize new records. By implementing the PixMover Platform, the department performs in-place compression on this archival image data, converting it to the optimized PXZ format. This process effectively reduces the data's physical footprint to approximately 400TB, immediately doubling the available storage space on the existing hardware. This solution avoids a substantial taxpayer-funded capital investment in new storage arrays and extends the lifespan of the current infrastructure by several years.

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CLOUD-TO-CLOUD*

Essential for multi-cloud management, the PixMover Platform minimizes egress charges from the originating cloud and accelerates transmission to the destination cloud, making large replication projects feasible.

* Coming in 2026

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Highlights
Example: M&E - Multi-cloud deployment

A major animation studio utilizes a multi-cloud strategy, storing its massive library of rendered assets (petabytes of data) in Cloud A, but needing to replicate 500TB of a completed film's archive to Cloud B for disaster recovery and specialized regional distribution. If done natively, this transfer would incur crippling egress fees from Cloud A and take several days. By routing the data through the PixMover Platform, the transfer is efficiently compressed mid-stream, which cuts the effective data size in half (to ~250TB). This process drastically minimizes the expensive egress charge from the originating cloud and simultaneously accelerates the transmission to the destination cloud, completing the large-scale replication project securely and cost-effectively within hours instead of days.

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