Run the platform in your cloud, under a platform licence
The platform runs in your cloud account, in the region you choose. Your provider bills the GPUs and the cloud infrastructure, and your datasets, checkpoints and weights stay in your account.
In your account.
The platform runs in your cloud account, in the region you choose.
Your provider bills the GPUs.
GPU and cloud infrastructure are billed separately, by your provider, and the licence covers the platform.
Your data stays in your account.
Training datasets, checkpoints and finished weights stay inside your account and are never used to train anyone else's models.
Built for residency and air-gap.
Private deployment is built for data-residency and air-gapped requirements.
What a private deployment looks like
The training, evaluation and serving stack runs inside your cloud account, in the region you choose. Your applications call an OpenAI- or Anthropic-compatible endpoint inside that account, and your datasets, checkpoints and weights stay there. Your provider bills the GPUs the stack runs on.
Results from LLMs powered by Nucleus
Advance notice on a failure
Predictive Maintenance
Systems on one thread
Real-Time Field Data Collection
Average time to resolution
Critical Incident Response
Three workflows over internal systems
Line 3's next failure, booked into the maintenance window
Every incident past its four-hour SLA, escalated by name
Six vendor contracts ranked before the renewal meeting
Bring your own cloud, in four columns
Where it runs
- Your cloud account
- The region you choose
- Your GPUs
- Built for air-gapped requirements
What runs
- Managed fine-tuning jobs
- The low-level training loop
- Evaluations
- OpenAI + Anthropic compatible serving
- Weight export, any checkpoint, any time
Your data
- Datasets, checkpoints and weights stay in your account
- Never used to train anyone else's models
- AES-256 at rest, TLS in transit
- Scoped API keys and role-based access
- Append-only audit trail
The agreement
- Platform licence from $50,000 / year
- GPUs and cloud billed by your provider
- Service Level Agreement and Support Policy
What the licence costs
Platform licence
Your GPU and cloud infrastructure are billed separately.
The rest of Own
Weight export
Any checkpoint, any format
Checkpoints
Kept until you delete them
Data residency
Choose your region
Storage
Metered by the GB-hour
Own
Everything in Own, in one place.
Read on
Projects
Partition files, runs and checkpoints by team, and pin each partition to a data region.
Serving and exporting
Take finished weights to production by serving them on Nucleus or exporting them to run anywhere.
Checkpoints
Save, inspect, export and manage the weights produced by training runs.
Run the platform in your cloud.
A platform licence from $50,000 a year, with the GPUs and the cloud billed by your provider.