What National Compute’s research preview offers

Dates and assessment

Source published

2026-10-07

Bright published

2026-10-07

Substantive update

None recorded

Evidence state

Emerging

Independent verification

Not established by this source review

Last source review

2026-10-07

The claim in context

The human problem

Researchers need usable compute access to start experiments without large infrastructure commitments.

The prior constraint

Access to scarce research hardware can depend on institutional resources and provider commitments.

AI’s actual role

Marshall is the infrastructure agent used to request a whole GPU node in the restricted Public Research preview.

The documented result

For a researcher trying to get an experiment off the ground, National Compute’s most useful launch detail is a small, concrete offer: eligible institutional users can receive $100 in starter credits and request a whole eight-GPU node. The current documentation describes a restricted research preview, with access and hardware availability that can vary. It gives researchers enough detail to work out whether a first experiment fits, before treating a national compute grid as an established resource.

Why it may matter

Pooling hardware across providers could make single-node research experiments easier for smaller teams to begin; admission and available capacity determine practical access.

Limitations

• According to the sign-in documentation, new users with eligible .edu, .mil or .gov addresses confirm their email to create an account and a public-research organization with $100 in credits. Other users need admission to an existing organization, an invitation or a place in the waitlist rollout. Sign-ups can pause, including for institutional addresses, so domain eligibility does not guarantee immediate access.
• Public Research allocates one whole node at a time, requested through Marshall, National Compute’s infrastructure agent, and accessed through SSH. The listed options are eight AMD MI355X GPUs or eight NVIDIA B300 GPUs, each with 288 GB of memory per GPU. The offer Marshall quotes is authoritative, and availability determines which options appear. There is no multi-node training, RDMA between pool nodes or notebook server in this route. That makes the preview a bounded environment for experiments that fit on one machine.
• Requests join a first-come, first-served queue. Marshall shows a rate, the cost of a full lease and the balance required before confirmation. A request needs enough credit for its first hour, rather than the entire lease. Waiting is free; once the node is handed over, every GPU in it bills by the hour. A quiet or completed job does not stop that meter.
• The current lease length is four hours, but it can continue and keep billing when nobody is queued. If another researcher is waiting after the lease length has passed, a preemption notice gives the current holder ten minutes to checkpoint. Releasing or losing the node destroys its local scratch storage. Results need to leave the node before that happens. Even the documented starter training job ends after about an hour while the node continues charging until released.
• The distinction matters when reading the larger grid’s promises. Vultr describes a Grid Exchange vision built around completed work, or goodput. The current Public Research documentation specifies GPU-hour billing for capacity held. Those are different descriptions of service economics; the wider vision does not make this preview a pay-only-for-success experiment.
• Academic access also has a specific data-sharing condition. Organizations created from .edu addresses enter Marshall’s expanded tier: usage analytics, conversation transcripts and qualifying training artifacts, including specified checkpoints, datasets, logs and configurations copied from documented workspace and shared-storage locations. The artifact rules include filename patterns, size thresholds and credential exclusions. The stated purpose includes improving Marshall and training its underlying model.
• The October 6 terms give National Compute a perpetual, irrevocable license to approved Marshall content for those purposes. Academic organizations cannot change this setting inside the service; a request to change it may require withdrawal from the research program. Organizations created with .gov or .mil addresses start at usage analytics only. Researchers therefore need to consider what they are entitled to share, alongside the hardware they can access.
• The credit terms add another practical boundary: purchased credits ordinarily expire after one year and are generally non-refundable. Promotional credits follow their issuance terms; the documentation reviewed does not establish a specific expiry for the $100 starter grant. Compute stops when the balance reaches zero.

Original evidence

• National Compute sign-in and account documentation · institution
• National Compute Public Research documentation · institution
• National Compute billing documentation · institution
• National Compute Marshall data-sharing documentation · institution
• National Compute Terms of Service updated October 6 2026 · institution
• National Compute Credit Terms updated October 6 2026 · institution
• National Compute Public Marshall documentation · institution
• Vultr joins National Compute as a founding consortium member · institution
• AMP describes its independent AI grid mission · institution

Attribution

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