Atlas-3 is now generally available

Inference infrastructure
for frontier AI

Deploy and scale large language models on a globally distributed runtime. Median latency under 80 ms, elastic autoscaling to millions of tokens per second, and an OpenAI-compatible API your team already knows.

No credit card required · 1M free tokens every month

Powering AI products at fast-moving teams

Northwind Helix Labs Quanta Meridian Lumen Orbital

Platform

Everything you need to run AI in production

One runtime for serving, scaling, and observing frontier models — so your team ships features instead of managing GPUs.

Sub-100ms inference

Requests are routed to the nearest accelerator pool and served from a runtime tuned for time-to-first-token. Median latency stays under 80 ms worldwide.

Elastic autoscaling

Scale from zero to millions of tokens per second with no capacity planning. Cold starts are measured in milliseconds, and you only pay for what you use.

Observability built in

Trace every request end to end, inspect token usage, replay prompts, and stream structured logs to your stack. Debug regressions before users notice.

Enterprise-grade security

SOC 2 Type II, end-to-end encryption, granular access controls, and private VPC deployments. Your prompts and data are never used for training.

<80ms
Median time to first token
99.99%
Rolling 90-day uptime
2.5T
Tokens served each day
42
Edge regions online

Models

The Atlas model family

Open-weight and proprietary models, served behind a single endpoint. Switch between them with one parameter — no redeploys.

Atlas-3

Flagship

Our frontier general-purpose model. State-of-the-art reasoning, tool use, and instruction following for agents and assistants.

Context
256K tokens
Modality
Text
Throughput
250 tok/s

Atlas-Code

Code

Tuned for software engineering: repository-scale context, fill-in-the-middle, and high-accuracy diffs across 80+ languages.

Context
512K tokens
Modality
Text
Throughput
310 tok/s

Atlas-Vision

Multimodal

Reads documents, screenshots, charts, and photos. Grounded visual reasoning with precise bounding-box and OCR outputs.

Context
128K tokens
Modality
Text + Image
Throughput
180 tok/s

Developers

Drop-in API, zero migration

Point your existing OpenAI-compatible client at ZeroHollow and you are done. Streaming, function calling, structured outputs, and fine-tuning all work the way you expect.

  • OpenAI-compatible REST & SDKs for Python, TypeScript, and Go
  • Server-sent streaming and token-level usage metering
  • JSON-schema structured outputs and tool calling
  • One-command fine-tuning on your own datasets
from openai import OpenAI

client = OpenAI(
    base_url="https://api.zerohollow.org/v1",
    api_key=os.environ["ZH_API_KEY"],
)

stream = client.chat.completions.create(
    model="atlas-3",
    messages=[{"role": "user", "content": "Draft a launch tweet."}],
    stream=True,
)

for chunk in stream:
    print(chunk.choices[0].delta.content or "", end="")

Trust & company

Built for teams that ship to real users

ZeroHollow is an independent research and infrastructure company. We keep the runtime fast, private, and compliant so you can focus on product.

SOC 2 Type IIIndependently audited controls
GDPR & CCPAData residency in the EU & US
Zero retentionPrompts are never used for training
99.99% SLAEnterprise uptime guarantee

Start building on ZeroHollow today

Spin up a key, send your first request in minutes, and scale when you are ready. The first million tokens are on us every month.

Free tier · upgrade anytime · cancel whenever