./ai-sandbox.sh
Spin up secure, isolated GPU and CPU sandboxes in seconds — for reinforcement learning, agent tool use, model evaluation, and inference. Your data never leaves the region. Your users see sub-30 ms latency from São Paulo, Bogotá, Santiago, and CDMX.
AI Sandbox is the execution layer your agentic and RL workloads need — isolated, regional, sovereign. Built on EdgeUno bare metal in LATAM data centers, exposed through a Python SDK that takes four lines to get from pip install to a running GPU job.
The same pattern your team already knows from US-hosted sandboxes — except the GPU is in São Paulo, the data never crosses a border, and the support team speaks your language.
./why-ai-sandbox.sh
Every sandbox runs in its own hardware-virtualized environment. A runaway agent, a memory spike, or a malicious tool call in one sandbox can never touch another.
Compute and storage stay in-region. Brazilian data stays in Brazil. Mexican data stays in Mexico. Sovereignty controls built in, not bolted on.
Pre-warmed pools across our LATAM PoPs. pip install, four lines of Python, your sandbox is running.
Spin up hundreds of CPU sandboxes per training step for RL rollouts. Run thousands of evaluation jobs in parallel without provisioning a single node.
24 PoPs across Brazil, Mexico, Colombia, Chile, Argentina, Peru. Build agentic apps your São Paulo and CDMX users can actually feel.
Drop-in Python client, REST API, and CLI. Compatible patterns with the wider ecosystem — minimal lift to migrate workloads from US-hosted sandboxes.
./differentials.sh
Every product shares the same LATAM-resident network. Here's what that means for you specifically.
./how-it-works.sh
30-second form. Our team confirms inventory in your target region within one business day.
API key, region selection (BR / MX / CO / CL / AR / PE), and SDK install instructions.
Four lines of Python. Your first GPU sandbox is running in your chosen LATAM region.
Move from one sandbox to thousands. Talk to us about reserved capacity and committed-use discounts.
./use-cases.sh
Fine-tune Portuguese and Spanish-language models on customer data that legally cannot leave the country.
Run code-execution agents for fintech, e-commerce, and logistics apps with sub-30 ms latency from your end users.
Spawn thousands of isolated environments per training step. Pay per sandbox-second, not per reserved node.
Run continuous eval suites in parallel sandboxes. Capture every trace, every artifact, every run.
Sovereign GPU access for LATAM research groups without exporting datasets to US-hosted clouds.
./quickstart.sh
from edgeuno_sandbox import Sandbox
with Sandbox.run(gpu="a10", region="br-sao") as sandbox:
result = sandbox.exec(["python", "train.py"]).result()
print(result.stdout)
./gpu-options.sh
Inventory subject to confirmation per region — see M11 inventory pass before publishing rates.
NVIDIA T4
Inference, lightweight fine-tuning
NVIDIA A10 / L4
Inference, mid-size fine-tuning, agent workloads
NVIDIA A100 40/80GB
Training, large-model inference, RL rollouts
NVIDIA H100
On roadmap
./pricing.sh
Preview pricing. Committed-use discounts on request.