iTechGuides is reader-supported. When you buy through links on our site, we may earn an affiliate commission. As an Amazon Associate I earn from qualifying purchases. Learn more
Oregon State’s research computing teams use AI to turn remote recordings and shipboard imagery into timely scientific evidence—and rely on large, fast local storage to make that possible. In a StorageReview episode published October 12, 2026, Chris Sullivan, the university’s Director of Research and Academic Computing, describes two distinct deployments: unattended acoustic monitoring that helps locate northern spotted-owl pairs, and a research-vessel workflow that can produce about 100TB of plankton imagery in five days. The common lesson is that AI is not only a question of computing power. Scientists also have to capture, move, store, validate and preserve the data their models need.
What does Oregon State’s research computing work show?
Chris Sullivan’s central point in StorageReview’s 22-minute episode, recorded live at Yotta 2026 in Las Vegas, is that every scientist is also a data scientist: experiments create data that must be stored, organized and made useful beyond the moment it is collected. AI makes that responsibility more visible, because the value of a model depends on having relevant data available to train, test and run it.
The examples in the episode are very different in scale and setting. In Oregon’s forests, autonomous recorders collect sound where researchers’ presence could change animal behavior. At sea, cameras generate imagery so quickly that scientists need to process it during a cruise, while the ship is still able to change course. Both cases make storage part of the research instrument rather than an afterthought.
The figures and system descriptions below are those reported in the episode; they are not an independent benchmark or a general recommendation for other workloads. The underlying constraints—remote power, cooling, data volume, response time and long-term stewardship—are the useful lessons for anyone planning scientific or industrial AI at the edge.
#1 Best Overall
- Read Before You Buy — No Video Output: These adapters support charging and USB 2.0 data transfer, but cannot transmit video signals. Except for standard USB webcams (which use USB data only), they are not compatible with HDMI/DisplayPort cables, video-capable USB-C hubs, or docking stations with video output.
- Convert USB-A Ports to USB-C: Designed to connect USB-C earphones, cables, flash drives, card readers, and other USB-C accessories to standard USB-A ports. Plug-and-play with no drivers or software required.
- Aluminum Alloy Housing: Built with a sturdy aluminum alloy shell that aids in heat dissipation and protects against daily wear and scratches. Designed to maintain a stable and secure connection.
- Compact & Travel-Friendly: The ultra-compact design allows the adapter to stay plugged into your device without blocking adjacent ports or adding bulk, reducing wear and tear on your original USB ports.
- 12-Month Warranty: Backed by a 12-month manufacturer warranty for peace of mind. Designed to meet strict quality control standards for reliable everyday performance.
How is Oregon State using AI to monitor spotted owls?
Oregon State works with the U.S. Forest Service to analyze sound from autonomous recording units (ARUs) deployed across a broad forest region. A convolutional neural network identifies 135 species from those recordings, helping researchers look for northern spotted-owl activity without having people continuously present at each site.
The deployment spans about 4,000 recording units between San Francisco and Canada, according to the episode. The breadth matters: a few strategically placed microphones might record a local event, but a network spread across a large area can help researchers understand where owl activity occurs and whether it is consistent with the presence of mating pairs.
Why record sound without researchers on site?
Human presence can silence animals or otherwise affect what is recorded. Leaving units unattended allows sampling to continue without a person standing near the habitat. It also creates a practical data problem: many recorders can generate more audio than a small team could review manually in a reasonable time.
Quick wins for a faster PC:
Repair Windows errors before they cause bigger problemsFix Now →Fix the driver behind crashes, sound loss and screen glitchesFind Drivers →Clear out junk files and repair common Windows errorsFree Scan →The model is reported to keep identifying species despite rain and aircraft noise. It can also estimate direction of travel using Doppler shift and distinguish male from female calls. Those capabilities offer more than a species list: the aim is to help locate mating pairs, information that can support timber-harvest planning intended to avoid owl habitat. The episode describes this as a management use, not a guarantee that an algorithm alone determines where harvesting can occur.
What role does the ranger-station system play?
The recorders send roughly 250TB of data to the forest deployment every six to eight weeks. That volume needs a place to land and be analyzed, but the ranger-station environment has no conventional data center, air conditioning or abundant electricity. Oregon State worked with Supermicro on a liquid-cooled GPU system designed to operate from a standard 15A circuit.
The reported configuration uses two 122TB Solidigm drives and is described as providing roughly 300TB of local capacity. The episode does not explain how the stated drive capacities reconcile with the larger local-capacity figure, so those numbers should be treated as reported rather than as a drive-count calculation. Local storage lets the system keep data at the site during long unattended periods and supports validation of the model on rare events and mating-pair detections.
Rank #2
- 5-in-1 USB-C Hub: Experience comprehensive connectivity featuring a Power Delivery input, two USB-A 2.0 ports, a USB-A 3.0 port, and an HDMI port. (Note: The USB-C power delivery input port is only for connecting an external wall charger to power your laptop and cannot power peripheral devices.)
- 90W Pass-Through Charging: Achieve optimal charging with 90W pass-through power to your laptop, supported by a total input of 100W, with the hub reserving 10W for operational efficiency. (Note: Wall charger not included.)
- Quick Data Transfers: Accelerate your productivity with rapid data transfers using a high-speed 5Gbps USB 3.0 port and two 480Mbps USB 2.0 ports.
- 4K HDMI Display: Enhance your visual experience with a hub capable of delivering 4K resolution at 30Hz in both mirror and extend modes. Please note that this hub is compatible with MacBook (macOS 12 and newer), Windows 10 and 11, ChromeOS, and laptops equipped with DP Alt Mode and Power Delivery. Note: This device is not compatible with Linux.
- What You Get: Anker USB-C Hub (5-in-1, 4K HDMI), welcome guide, 18-month warranty, and our friendly customer service.
This is an edge-computing pattern: collect and process data near where it is produced rather than depending on a central facility for every analysis. It reduces the need to move every recording before the system can be useful, while still leaving a substantial storage and model-validation task at the remote location.
PC Slower Than It Used to Be?
A free scan shows the junk files, broken settings and background clutter dragging Windows down - then fixes them in one click.Free scan · Windows 10 & 11Outdated Drivers Are Slowing You Down
One free scan finds every outdated or missing driver and matches the right update for your exact hardware.Free scan · exact hardware matchWhy do research ships need 122TB SSDs?
For the plankton project, the issue is not simply keeping a large archive. Scientists need enough storage throughput to process imagery aboard the ship, where they can use the results to guide the research while the vessel is still at sea. The episode reports about 100TB of plankton imagery generated in five days.
Plankton are foundational to the food web and are important to oxygen production and carbon cycling. A shipboard imaging system can therefore produce observations with value beyond a single cruise. But collecting imagery alone does not provide the same opportunity as processing it in time to influence where the ship goes next.
Why process imagery during the cruise?
At sea, processing can help scientists redirect the vessel toward plankton in real time. Without it, a ship could complete a transect and return with no useful imagery from the organisms the researchers were trying to find. The point of doing computation aboard is not merely to make a later analysis faster; it can change what the research team samples during the current expedition.
The episode gives the scale of the work as a roughly $150 million research vessel, about $1 million for a ten-day cruise, and around 15 simultaneous experiments. Those are reported episode figures, not a general price list or a statement that all cruises share the same cost. They illustrate why an idle or poorly directed shipboard experiment can have consequences beyond a delayed computer job: ship time and multiple research activities are being used at once.
Free tools Windows power users keep installed
One-click scans. No signup required.
What did the shipboard validation report?
The tested system was a Dell PowerEdge XE7745 with four NVIDIA RTX Pro 6000 GPUs. Oregon State selected Solidigm D5-P5336 U.2 QLC drives in 122TB versions where capacity was the priority and 30TB versions where higher performance was preferred. The episode reports validation results of about 55GB/s reads and 15GB/s writes, sufficient for six to eight streams in that configuration; disk throughput, rather than available GPU capacity, was the limiting factor.
Rank #3
- Sleek 7-in-1 USB-C Hub: Features an HDMI port, two USB-A 3.0 ports, and a USB-C data port, each providing 5Gbps transfer speeds. It also includes a USB-C PD input port for charging up to 100W and dual SD and TF card slots, all in a compact design.
- Flawless 4K@60Hz Video with HDMI: Delivers exceptional clarity and smoothness with its 4K@60Hz HDMI port, making it ideal for high-definition presentations and entertainment. (Note: Only the HDMI port supports video projection; the USB-C port is for data transfer only.)
- Double Up on Efficiency: The two USB-A 3.0 ports and a USB-C port support a fast 5Gbps data rate, significantly boosting your transfer speeds and improving productivity.
- Fast and Reliable 85W Charging: Offers high-capacity, speedy charging for laptops up to 85W, so you spend less time tethered to an outlet and more time being productive.
- What You Get: Anker USB-C Hub (7-in-1), welcome guide, 18-month warranty, and our friendly customer service.
Those results describe the reported validation setup, not a guarantee of the same performance in another server, application or storage layout. They also explain why a large-capacity drive is not automatically the fastest choice for every part of the system. In this deployment, capacity and performance were balanced by using different drive sizes for different needs.
Consolidating storage in one machine also removed surrounding disk arrays and reduced data movement. That is especially useful on a vessel, where equipment must fit within a constrained power and cooling envelope. The episode estimates a shipboard budget of 30kW to 50kW; it does not give a per-server power draw, so that range should not be mistaken for the tested system’s consumption.
How do the forest and ship systems differ?
Both projects bring compute closer to data collection, but they solve different operational problems. The forest site needs to accept large batches from unattended recorders and remain useful in a remote building with limited power and cooling. The ship needs high sustained throughput for concurrent imaging streams and analysis that can inform decisions during a finite cruise.
| Constraint or goal | Forest monitoring | Plankton cruise |
|---|---|---|
| Primary data | Acoustic recordings from about 4,000 ARUs across a region between San Francisco and Canada, as reported in the episode | About 100TB of plankton imagery in five days, as reported in the episode |
| Operational setting | Ranger station without a conventional data center, air conditioning or abundant electricity | Research vessel with a reported shipboard power budget of 30kW to 50kW |
| Storage description | Two 122TB drives; roughly 300TB local capacity is reported, with the relationship between the figures not explained | 122TB drives for capacity and 30TB versions where higher performance was preferred |
| Reported compute system | Liquid-cooled GPU system developed with Supermicro; runs from a standard 15A circuit | Dell PowerEdge XE7745 with four NVIDIA RTX Pro 6000 GPUs used for validation |
| Reported throughput or concurrency | Not stated in the StorageReview episode report | About 55GB/s reads and 15GB/s writes; enough for six to eight streams in the reported validation |
| Why local processing matters | Supports long unattended sampling and model validation, including rare events | Can help scientists redirect the ship toward plankton while still at sea |
| Retention period | Not stated for this specific forest deployment in the StorageReview episode report | Not stated for this specific cruise system in the StorageReview episode report |
The table also highlights why raw capacity alone is not a sufficient way to compare these installations. A forest system can be judged by whether it absorbs periodic data arrivals, runs reliably in a limited facility and supports useful model checks. A shipboard system has to sustain multiple streams and deliver results quickly enough to affect a voyage. The episode does not provide comparable power consumption, retention or performance figures for both systems, so it cannot support a simple winner or a universal design recipe.
Is AI really a data problem?
AI needs compute, but the episode’s examples show how often data controls what the compute can accomplish. Sullivan describes AI as “a data problem and an arms race: every time processing gets faster, there is more data to throw at it,” as reported by StorageReview in 2026. Faster processors can make larger or more frequent analysis practical, but they do not eliminate the work of capturing, transporting, storing and checking the inputs.
The plankton validation illustrates a direct bottleneck: the GPU capacity available in the system exceeded what the storage could feed, making disk throughput the limiting factor. The forest example shows a different constraint. The system must operate in a place with modest infrastructure and handle large arrivals from recorders, while researchers need to distinguish meaningful, rare events from a much larger collection of sound.
Rank #4
- Dual Converters, Infinite Potential：Includes 2× USB C male to USB A female adapters and 2× USB A male to USB C female adapters. Perfect for a wide range of uses—tablets with Bluetooth keyboards, expand USB ports on macbook, and more. Two different converters for all your daily needs
- Next-Level 10Gbps & 3A Charging: No more slow 480Mbps, this usb to usb c adapter has a transfer speed of up to 10Gbps, allowing you to do more transferring in less time. This usb adapter fits both USB A and USB C charger, supporting up to 3A fast charging
- Upgraded Exquisite Craftsmanship: With an aluminum alloy housing and metal connector, the usbc to usb adapter is extremely durable and sturdy. Rigorously tested to withstand more than 10,000 times of plugging and unplugging, ensuring long-lasting performance
- Broad Compatible: The usb c to usb adapter widely supports all USB C/ USB A devices like laptops, tablets, cellphones, car chargers, and phone chargers. Such as compatible with MacBook Pro/Air 2023/2022, Thunderbolt 4/3 Devices,Apple MagSafe Watch 9/8/7/SE/Ultra, iPad Pro 2022/2021, Samsung Galaxy S23/S20/S10, and iPhone 17/16/15 Pro. Plug and play
- Please Note: To reach 10Gbps speed, keep the cable under 3.3 ft. For USB A Male to USB C adapters, try flipping the USB C connector. USB C Male to USB A adapters support bidirectional 10Gbps transfer within 3.3 ft
These are related but not identical problems. In one case, the immediate goal is sustained high-rate access for simultaneous imaging streams. In the other, it is a durable remote installation for data collection and model validation. Calling both “AI” can hide the engineering decisions that matter: whether latency, throughput, power, cooling, capacity or the ability to move data is the current constraint.
How can universities preserve research data for decades?
Sullivan argues that universities are natural long-term stewards because observations that have little immediate value may become useful as models improve. A sound recording or ocean measurement can answer a question that researchers did not know to ask when they first collected it. Preserving data therefore protects the possibility of reanalysis, not just the result of the original experiment.
One example is the Ocean Observatories Initiative, which supplies data at one-minute intervals from wire walkers, gliders and seafloor instruments. Oregon State holds that data for at least 25 years and expects retention to extend to 50 to 100 years, while operating the data center for partner institutions. These periods are reported for this initiative and arrangement; they should not be generalized to every university dataset or storage service.
Long retention is a stewardship commitment, not simply a matter of buying drives with more terabytes. The organization must continue to curate data so it can be found and interpreted, and must keep the supporting infrastructure operating over time. The episode’s emphasis on storage, curation and reuse connects the short-term field systems to that longer horizon: valuable data can only be reused if it remains accessible and meaningful.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What should research teams learn from the procurement problem?
Public research procurement and commercial hardware cycles can move at different speeds. Sullivan contrasts grants written around an 18-month hardware-refresh assumption with industry cycles of three to six months. By the time funding is awarded, hardware specified in the proposal may already be obsolete or unavailable.
The Tool Desk
Outbyte Driver Updater FREEFix the driver behind crashes, sound loss and screen glitchesFind Drivers →Outbyte PC Repair FREEClear out junk files and repair common Windows errorsFree Scan →That mismatch can make a grant budget or design brittle if it names a particular device without accounting for how quickly product generations change. The episode’s example of high-capacity SSDs is about reducing the number of times data must move: Sullivan says eight 122TB drives provide about a petabyte and can retire a rack of spinning disk. The same capacity logic can reduce transfers, including data movement from a ship over a 100GbE dock connection.
Best Value
- 5-in-1 Connectivity: Equipped with a 4K HDMI port, a 5 Gbps USB-C data port, two 5 Gbps USB-A ports, and a USB C 100W PD-IN port. Note: The USB C 100W PD-IN port supports only charging and does not support data transfer devices such as headphones or speakers.
- Powerful Pass-Through Charging: Supports up to 85W pass-through charging so you can power up your laptop while you use the hub. Note: Pass-through charging requires a charger (not included). Note: To achieve full power for iPad, we recommend using a 45W wall charger.
- Transfer Files in Seconds: Move files to and from your laptop at speeds of up to 5 Gbps via the USB-C and USB-A data ports. Note: The USB C 5Gbps Data port does not support video output.
- HD Display: Connect to the HDMI port to stream or mirror content to an external monitor in resolutions of up to 4K@30Hz. Note: The USB-C ports do not support video output.
- What You Get: Anker 332 USB-C Hub (5-in-1), welcome guide, our worry-free 18-month warranty, and friendly customer service.
Those are workload-specific claims, not proof that every data center should replace disk arrays with SSDs. Teams should start by identifying the operating constraint, then leave room in procurement plans to adapt if the original hardware is unavailable when an award arrives.
- For a remote station, establish the available electrical circuit and cooling conditions before sizing compute and storage.
- For high-rate instruments, verify sustained read and write needs alongside the number of concurrent streams; GPU count alone does not reveal whether storage will keep up.
- For field deployments, account for when and how data arrives, whether analysis must happen locally, and how long the system may need to operate unattended.
- For long-lived archives, include curation and continued access in the stewardship plan rather than treating capacity as the whole preservation problem.
- For grant-funded procurement, avoid assuming that a hardware model quoted today will remain available at award time.
Frequently Asked Questions
Does the owl-monitoring model replace field biologists?
No. The episode describes AI as a way to analyze recordings and support a habitat-management goal, not as a substitute for ecological judgment. The model can help identify patterns in sound, while people remain responsible for interpreting findings and deciding how they inform management.
What is an autonomous recording unit in this project?
It is an unattended recorder that samples wildlife sound in the field, allowing researchers to collect audio without a person continuously present. The episode discusses the network of units and their analysis but does not specify recording duration, microphone specifications or sampling settings.
Can these SSD figures be used to plan a consumer PC or NAS?
Not directly. The capacity and throughput details are tied to research systems, equipment and workloads described in the episode, and no consumer performance or pricing evidence is provided. A home storage system would need to be sized around its own interface, workload and data-protection requirements.
Why keep old ocean observations if newer instruments are available?
Older measurements may become useful when researchers ask new questions or develop better models. A long, consistent record can support comparisons across time that a newer instrument cannot recreate by itself.
Quick Recap
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
