For AI Startups

Ship AI products. Not infrastructure.

Your team should be iterating on models, not managing servers. On-demand GPUs that scale from prototype to production without changing code.

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Traditional Approach
1
Provision infrastructure
Days to weeks
2
Configure Kubernetes
DevOps engineer needed
3
Manage scaling & capacity
Ongoing overhead
4
Finally train your models
Months later...
With Lyceum
Request access, install CLI
2 minutes
Run your first training job
5 minutes
Iterate on models
Same day
Time to first experiment Minutes, not months
Startup Program

Up to $10,000 in free credits

Qualifying early-stage startups get free GPU credits to build and experiment. Focus on your product, not your cloud bill.

Apply for Credits VC-backed startups • Accelerator alumni • Early-stage teams

Your entire AI workflow. One platform.

From rapid prototyping to production deployment, every stage of your AI development is covered.

Step 1

Explore

Launch Jupyter notebooks on cloud GPUs. Experiment interactively.

Cloud Notebooks
Step 2

Train

Run training jobs on demand. Zero config, per-second billing.

Serverless Training
Step 3

Deploy

Serve your models via API with dedicated GPU endpoints.

Dedicated Inference
Step 4

Scale

Grow seamlessly. Add capacity as your usage grows.

Dedicated Training
Iterate Fast

From idea to running model in minutes

No infrastructure setup. No Docker required. Just write your training script, run one command, and watch it execute on cloud GPUs instantly.

  • Dependencies auto-detected from requirements.txt
  • GPU automatically selected based on workload
  • Logs stream in real-time to your terminal
Terminal
# Train your model with one command
$ lyceum python run train.py
✓ Uploading train.py (2.4 KB)
✓ Auto-detected: torch, transformers
✓ Selected: H100 80GB (best fit)
[INFO] Training started
Epoch 1/10: loss=2.341
Epoch 2/10: loss=1.892
Epoch 3/10: loss=1.456
...
✓ Completed in 12m 47s
Cost: $0.53
This Month's Usage Pay-as-you-go
Training Jobs 4.2 GPU-hrs
$10.50
Notebooks 8.3 hrs
$11.52
Docker Jobs 2.1 GPU-hrs
$5.25
Total this month
$27 .27

vs $2,400/mo for reserved instances

Startup-Friendly Pricing

Only pay for what you actually use

No minimum commitments. No reserved instances. No idle costs. Start with $0 upfront and scale costs with your usage.

$0
to start
Per-second
billing
No idle
costs
Auto
shutdown
Move Fast

Ship iterations in hours, not weeks

Your competitive advantage is speed. While others wait for infrastructure, you're already on your next experiment. Run 10x more iterations in the same time.

  • No capacity planning or provisioning
  • No DevOps hire needed
  • GPUs available instantly, 24/7
10x
more experiments
0
infra headaches
Today's Experiments Tuesday, Feb 11
lr=1e-4, batch=32
Completed • 18min • loss: 0.342
9:14 AM
lr=3e-4, batch=64
Completed • 24min • loss: 0.298
9:48 AM
lr=2e-4, batch=48
Best run • 21min • loss: 0.187
10:31 AM
lr=2e-4, batch=64, warmup
Running • 8min elapsed
10:52 AM
4 experiments this morning
↓ 72% loss improvement

Everything you need to train AI

From experimentation to production training, all the tools your team needs.

Cloud Notebooks

Jupyter on cloud GPUs. Launch in seconds, pick your hardware, pay by the hour.

lyceum notebook launch

Serverless Training

Run Python scripts on GPUs. Zero config, per-second billing, automatic hardware.

lyceum python run train.py

Docker Execution

Bring your own container. Full control over your environment when you need it.

lyceum docker run image:tag
$

GPU Virtual Machines

Full root access when you need it. SSH in, install anything, run any framework.

1-8 GPUs per VM

Dedicated Training

Reserved capacity for serious training. InfiniBand networking for distributed jobs.

For larger workloads

Orchestration

Unify your GPU resources. Schedule jobs across on-prem and cloud infrastructure.

Multi-cluster management
"We went from idea to training our first model in a single afternoon. No DevOps hire needed."
Early-stage AI startup
3-person founding team

Start building today.

Free credits on approval. No credit card required.

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