zai-org · Language
GLM 5.3
zai-org/GLM-5.3
MoE · 780B params · 40B active
- Context
- 1M
- LoRA rank
- 16
- Fine-tune
- $4.60
- Serve
- $2.95
Nucleus builds and runsyour enterprise LLM
We fine-tune models on your data and deploy them as private API endpoints, with dashboards, automation, scheduling and monitoring built in.
Your secure LLM, at ChatGPT-level intelligence, with full data privacy.
Trusted by leading institutions
Product
Fine-tune. Serve. Keep the weights.
Train open models on your data across five modalities, serve them behind private endpoints, and export the weights whenever you want. Three meters run the bill: training, inference and storage.
49 open models, five modalitiesFine-tuning from managed jobs
Fine-tuning from managed jobs
to raw training steps
Language, vision, image, video and audio bases. Start with a managed job and go deeper when the task asks for it, all the way down to individual forward-backward passes.
- Managed jobs. Upload examples, pick a base model, start a run. Scheduling, GPUs and the production handoff are handled.
- Custom recipes. Your base, your data, your method. LoRA ranks up to 64 and evaluations billed on the same meters.
- Loop-level access. Forward-backward passes and optimiser steps as first-class API calls. RL, DPO and distillation are yours to write.
dataset.jsonlLoRA r=32step 1,240 / 2,000Serverless, dedicated and reservedPrivate endpoints
Private endpoints
your SDK already speaks
Every checkpoint gets a private endpoint the moment training finishes. Swap your OpenAI or Anthropic base URL. The rest of your code stays the same.
- Serverless. Fine-tuned models at base-model rates. Idle time costs nothing.
- Dedicated. A GPU by the second, L40S to B200, with unlimited tokens on it. Cold starts are free.
- Reserved. One to six month terms at 15 to 25% below on-demand. Capacity guaranteed.
api.nucleus-ai.ioOpenAI compatibleautoscale to zeroWhat you keep when you leaveEvery checkpoint
Every checkpoint
travels with you
Training data stays in your account. Weights are yours to export through the API and run on any hardware, in any region, behind any firewall.
- Weight export. Any checkpoint, any time, through the API. The model runs wherever you put it.
- Data residency. Singapore by default, your cloud account by arrangement, or hardware you control.
- On-premise. A platform licence from $50,000 a year. Your GPU infrastructure, billed separately.
checkpoint exportregion ap-southeast-1runs air-gappedModels
Choose your base model
Open models across language, vision, image, video and audio. Fine-tune on your data, serve the result as a private endpoint, and keep the weights.
Qwen · Vision
Qwen3-VL 235B Instruct
Qwen/Qwen3-VL-235B-A22B-Instruct
MoE · 235B params · 22B active
- Context
- 128K
- LoRA rank
- 32
- Fine-tune
- $2.40
- Serve
- $1.60
black-forest-labs · Image generation
FLUX.2 dev
black-forest-labs/FLUX.2-dev
Flow transformer · 32B params
- Context
- Up to 4MP
- LoRA rank
- 32
- Fine-tune
- $1.40
- Serve
- $8.00
Lightricks · Video generation
LTX-2
Lightricks/LTX-2
DiT · native audio + video
- Context
- Up to 4K · 10s
- LoRA rank
- 32
- Fine-tune
- $1.60
- Serve
- $5.50
Qwen · Embedding & reranking
Qwen3 Embedding 8B
Qwen/Qwen3-Embedding-8B
Bi-encoder · 8B params · 4096 dims
- Context
- 32K
- LoRA rank
- 64
- Fine-tune
- $0.08
- Serve
- $0.05
openai · Language
GPT-OSS 120B
openai/gpt-oss-120b
MoE · 117B params · 5.1B active
- Context
- 128K
- LoRA rank
- 32
- Fine-tune
- $0.68
- Serve
- $0.45
Products
Own the whole journey
From dataset to deployed model: integrations that make your data trainable, managed GPUs, private endpoints and the APIs that tie them together.
Integrations
Connect your databases, APIs and document stores and turn them into training-ready datasets for fine-tuning.
- Databases, APIs and document stores
- Training-ready datasets
- Custom integration support
AI Cloud
Train on managed GPUs and serve your models without deploying or scaling servers.
Custom AI Solutions
Fine-tuned models built on your enterprise data, evaluated and served as private endpoints.
- OpenAI + Anthropic compatible APIs
AI Chat Agents
Assistants for your teams, backed by your own fine-tuned models rather than a shared public model.
APIs for custom solutions
Integrate your models into existing products with clean REST APIs, documented end to end.
Pricing
Near-frontier intelligence at 2% the cost
Three meters run the bill: training tokens, served tokens and storage. Reserve dedicated GPUs when you need guaranteed capacity. Idle time costs nothing.
- Training tokens
- from$0.03/ 1MFloor rate across 47 trainable bases.
- Served tokens
- from$0.02/ 1MInput and output tokens cost the same.
- Storage
- flat$0.10per GB / monthDatasets, checkpoints and exported weights.
- Dedicated GPUs
- from$1.99/ GPU-hourL40S to B200, billed by the second.
CompanyAlibabaNVIDIADeepSeekOpenAIZ AIGoogleKimiMistralMiniMaxMetaOtherreads more than one modalityunscored, shown in the lanewithdrawal scheduled
Use cases
Built with Nucleus
Agents that connect to the tools a business already runs, and deliver the result a team used to spend a day on. Every workflow runs on the Nucleus inference stack, ready to run on your data.
47 trucks rerouted while they were still moving GPS traces, traffic and weather become live route changes, fuel efficiency per vehicle, and an SMS to every customer whose window slipped.
Quickstart
From dataset to a model you own
A handful of API calls take a JSONL file to a fine-tuned model served behind an OpenAI-compatible endpoint. Prefer to drive the training loop yourself? Forward-backward passes and optimiser steps are first-class API calls too.
nucleus quickstart
01_upload_dataset.sh
Bring a JSONL file of examples. That's the only prerequisite.
System01 / 05
Teams
Private models for every team
Fine-tune, evaluate, serve, and export models your organisation owns, with a workflow for every team that touches them.
ML Engineers
Fine-tune and deploy custom models on your enterprise data with full control over training pipelines and inference endpoints.
Research Teams
Drive the training loop call by call. RL, DPO, distillation, and custom losses, with the GPUs handled for you.
Product Teams
Ship features on models that speak your domain. Keep your existing OpenAI or Anthropic client code and swap the base URL.
Data Teams
Turn proprietary datasets into evaluated, versioned models with managed fine-tuning jobs. Upload a JSONL file, get back a private endpoint.
Platform Teams
Serve models behind OpenAI- and Anthropic-compatible endpoints, with usage tracking and rate limits built in.
Enterprise Leaders
Own your AI strategy. Training data stays in your account, weights are exportable, and models can run wherever policy requires.
Scale
Built to scale. Built to be owned.
Nucleus handles training and inference at any scale, from the first fine-tuning job to full production traffic, so your team ships models instead of managing GPUs.
- Your model weights
100% yours
- Compatible APIs
OpenAI + Anthropic
Tokens served
10.9M
+13.4%