C3 - GPU Compute for Research

C3 Logo

NO QUEUES

Pay per second billing

Submit research GPU code in <1 second. Edit locally and deploy globally with no queues via a SLURM-like interface where your laptop is the login node.

Quick installComing Soon
$curl -fsSL .../install.sh | sh
DocumentationSoon|Free credits for researchers
terminal
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Trusted by researchers worldwide

University of Cambridge
University of Oxford
Kings E Lab
Cambridge Center for Frontier Technologies
MIT Media Lab
Imperial College London
University of Cambridge
University of Oxford
Kings E Lab
Cambridge Center for Frontier Technologies
MIT Media Lab
Imperial College London

How It Works

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Step 1 of 5

EDIT LOCALLY

Your laptop. Your editor. Your workflow.

Write your research code locally. No remote setup, no SSH, no cluster configuration.

train.py
import jax
import jax.numpy as jnp
from flax import linen as nn
# Your research code here
model = TransformerLM()
state = train_step(state, batch)

From Code to Results

Write your science script

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Visual Studio Code
🐍py
📄sbatch
⬛Terminal
1import jax
2import jax.numpy as jnp
3from jax_md import space, energy, simulate
4from galax import MilkyWayModel, NFWHalo
5
6# Initialize 10M particle galaxy
7galaxy = MilkyWayModel(n_particles=10_000_000)
8halo = NFWHalo(mass=1e12) # solar masses
9
10# Configure GPU-accelerated N-body solver
11sim = simulate.NBodySimulator(
12 galaxy, halo,
13 dt=1e6, # 1 Myr timestep
14 softening=100 # parsecs
15)
16
17# Evolve for 10 Gyr and render animation
18sim.run(t_final=10e9, checkpoint_every=100)
19sim.animate("plots/galaxy_evolution.gif")

Why Researchers Choose C3

The simplest path from your code to GPU compute

AWS
$4.50/hr
Google
$4.20/hr
Azure
$4.80/hr
Provider A
$1.50/hr3x cheaper
Provider B
$1.35/hr3x cheaper

H100 80GB pricing • Same NVIDIA silicon

Save Money

Pay only while your jobs run. Use our marketplace of providers and break free from AWS, Google, and Azure charging 3x more for identical NVIDIA hardware.

Your laptop
GPU cluster

No Admin

No DevOps. No cloud configuration. No cluster management. Everything is handled by C3 so you can focus on research, not boring cloud compute admin.

$ c3 deploy job.sbatch
✓ Job 7341 running
Same SLURM syntax you already know

Simple to Use

A familiar SLURM-like interface without the pain of academic HPC queues. Onboard new researchers and students quickly. If they know how to use SLURM, they know how to use C3.

Coming Soon
💰
Unused credits
⇄
⚡
C3 compute

Swap Credits

Swap unused credits with time onto or off of C3. Make money from idle allocations or earn C3 credits for later use.

No queues. No setup. Pay only while your code runs.

Coming Soon
$curl -fsSL .../install.sh | sh