A U.S. business wants to run a private AI assistant for employees. It is considering an eight-GPU B300 server, but it does not yet know whether the project will become a permanent service. The business still needs to check whether its application requires that much hardware.
Should it rent a B300 node or buy the hardware and place it in a data center? The answer depends on more than the monthly bill. The business needs to know whether the server can be hosted at the chosen site, who will keep it running, and what it will owe if the project stops.
Here is how to compare both options for the same deployment.
What changes when you rent or colocate?
With B300 rental, a provider supplies access to the hardware for an agreed period. Check whether the node is dedicated to you, what is included, and whether the contract lets you end or extend the service when you need to.
With GPU colocation, you own the server and place it in a data center that provides space, power, cooling and connectivity under the agreed terms. If you do not already own the hardware, you must acquire it and arrange delivery. You also need a plan for warranty support, replacement parts and software operations.
Both options can support a private, self-managed application. Neither ownership nor rental alone tells you who can access the data, where backups are stored, or who manages the software. Those details belong in the proposal.
What do B300 rental providers publish?
The table below brings together advertised rates for B300 capacity. It is a starting point for U.S. buyers, not a list of confirmed allocations or identical servers. Rates can change, and access depends on the provider, location and contract.
Prices checked November 9, 2026 (Pacific time).
Published B300 rental prices checked November 9, 2026 (Pacific time)
| Provider |
Published rate and important terms |
| Avian |
$5.45 per GPU-hour. Dedicated eight-GPU node; 12 months, with $381,936 prepaid for the full term. Provider lists a U.S. region; confirm the site, availability and exit terms.
|
| Civo |
$7.49 per GPU-hour, calculated from $59.92 per hour for an eight-GPU instance on demand. A U.S. location for this B300 offering was not verified; ask the provider.
|
| DigitalOcean |
$7.94 per GPU-hour. Twelve-month reserved plan. Documentation lists an eight-GPU configuration and U.S. regions; confirm the price and capacity for your account.
|
| Nebius |
$9.50 per GPU-hour on demand. Its eight-GPU B300 virtual machine is listed in a U.S. region; confirm capacity and deployment details.
|
These prices describe different products. The Avian price requires a full-year prepayment; the on-demand rates should not be treated as offers with the same commitment. GPU count, CPU and memory, storage, networking, support and access to the underlying server can differ. Check the complete proposal, including taxes and additional charges.
Billing when a machine is stopped also differs. Civo says a stopped instance continues to be charged while retained in the account. Nebius says stopped virtual machines do not incur compute charges, although storage volumes remain chargeable. Check any separate contract commitment and whether capacity will be available when you restart.
For example, at Nebius's published $9.50 rate, eight GPUs running for 720 hours would cost $54,720 in compute charges (8 × $9.50 × 720). That uses a 30-day period and assumes the rate remains unchanged. It is an illustration based on the published unit price, not a quote, a guaranteed allocation or a complete bill.
Before buying, check whether the server fits the site
A server can physically fit in a rack and still need more power than the proposed cabinet can provide.
For example, the NVIDIA DGX B300 user guide lists a 15 kW system maximum for its AC-powered configuration. That is a planning specification, not a claim that the system always draws 15 kW. Other B300 servers may have different requirements.
Before purchasing or shipping a GPU server, provide the exact model and configuration for a site-specific review. Confirm the usable power, cooling, rack fit, power connections and setup required for your redundancy needs. This helps you choose a facility designed for the actual server rather than relying on rack space alone.
For rental, ask for the exact configuration, location and committed usable-access date. A provider offering B300 GPUs has not necessarily offered the same server or support as the one you might buy. Where possible, test the same application on both proposed systems; agree on test access and any remedies separately.
What does buying a B300 server cost?
Purchase prices depend on the exact server and what the seller includes. One public reference is an October 6, 2026 SEC filing: PDN Intelligence disclosed that it was acquiring one eight-GPU B300 system from AMAX for $588,581.99.
That is one historical transaction, not a current Psychz price or a quote for your project. The filing does not provide enough configuration and service details to establish that the system is equivalent to any rental offer in the table. It also does not establish your facility, operating, financing or resale costs.
To compare ownership with rental, start with a current hardware proposal for the required configuration. Add installation, colocation, power, connectivity, support and the work your team will perform. Count power only once if it is already included in the facility charge. If you already own the server, compare costs from today onward, including the value you could receive by selling it or using it elsewhere.
Compare what happens if the project stops or continues
Suppose the business plans a three-month pilot, followed by a longer production deployment if it succeeds. Ask for two totals for each route: the cost if the project stops after the pilot, and the cost if it continues through the planned production period.
For rental, include any minimum payment, notice period, data export charges and the actual cost to extend. A low hourly rate may require a long commitment. Confirm when charges stop and whether capacity and the extension price are committed.
For ownership, include the hardware purchase, facility commitment and any removal or sale costs. If the project stops, the business may still owe facility fees and will own a server it can sell or reuse. Estimate its net recovery value separately: until a sale occurs, that value is not cash in the bank.
Use the same application, data-location, availability and support requirements on both sides. Check which services each amount includes and when the node will be ready. If the proposals deliver different configurations or capabilities, test the workload and account for those differences before deciding.
Find out who gets the application running again
Consider a failed storage drive. NVIDIA's DGX B300 cache-drive procedure includes powering off the system and rebuilding the storage volume after replacement. Replacing the physical drive is only part of getting an application back into service.
For an owned server, establish who supplies the replacement part, performs the physical work, rebuilds storage and restores the application and data. Ask how warranty and remote-hands requests are coordinated. For rental, ask the same recovery questions: a hardware replacement commitment does not automatically include restoring your software or data.
Neither route provides automatic failover just because the server sits in a data center. If the application must remain available during a node failure, discuss the additional capacity and recovery design in both proposals.
Which option fits your business?
Rental can fit a project whose demand is uncertain, particularly when the actual agreement provides a useful short-term exit. Ownership and colocation deserve a closer look when the workload and operating horizon are established, the site accepts the specific server, and the business has a support plan.
Before deciding, ask each provider for the complete cost to stop after the pilot and to continue through your production period. Confirm the configuration, usable-access date, data and backup location, support responsibilities, and any minimum commitments. Compare both proposals against the same application requirements.
Planning a B300 deployment in the United States? Contact Psychz to discuss node access or colocation for hardware you own. A proposal should identify the site, configuration, availability, service responsibilities and any partner-delivered components.
