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The all-in-one platform for models and agents. On our cloud or yours.

Run LLMs, diffusion, classifiers, knowledge bases, and agents behind one runtime. Start on SynapsAI Cloud, then take the same stack to GPUs you already operate.

Everything under one hood

Stop stitching five platforms together. This is what running your own OpenAI API Platform would feel like, except every model on it is yours.

  • Wide model support — LLMs, diffusion, vision, speech, embeddings
  • Dedicated agents — tools and traces, no extra orchestration
  • Integrated knowledge bases — search your files from the same private API

Explore the platform

No procurement to start. No rebuild to leave.

Step 1 — Start on SynapsAI Cloud

Deploy from a Hugging Face repo, get a private endpoint, and skip provisioning infra.

Step 2 — Move to your hardware (or stay)

Point the same runtime at your own GPUs — on-prem, colo, or a major cloud.

Supported targets include on-prem, AWS, Azure, Google Cloud, Oracle, Nebius, and CoreWeave.

Deploy SynapsAI where you need it.

Access GPU infrastructure across multiple providers and regions through a single platform.

How a model actually reaches production

You point at the checkpoint. SynapsAI builds, serves, and monitors it.

  1. You: model source — Hugging Face, S3, or local
  2. SynapsAI runtime — build, package, schedule
  3. Endpoint — OpenAI-compatible API
  4. Dashboards — latency, cost, replay

SynapsAI offers exceptional flexibility in model deployment. It is incredibly straightforward to launch models and manage sessions efficiently.

Ruiqin Pi, Applied AI Scientist, Dialpad

SynapsAI in the wild

Vertical AI products

Serve customer-specific models in the cloud, then pin sensitive tenants to on-premises infrastructure without changing the API.

Evaluation platforms

Load and switch among many checkpoints with built-in scheduling, storage, and monitoring controls.

Enterprise AI teams

Deploy classification, vision, speech, and language workloads behind private APIs — on GPUs you already operate.

The platform

Everything you need to run models in production, not just serve them

Agents, knowledge, request replay, cost and latency, and the access model behind every private API.

Wide model range support

Deploy LLMs, diffusion models, classifiers, vision, audio, video, and embedding pipelines behind one runtime — using standard Hugging Face pipeline tasks.

  • Text & language
  • Vision
  • Image generation
  • Audio & speech
  • Embeddings & ranking
  • Classification

40+ pipeline tasks. Deploy any Hugging Face pipeline task on SynapsAI Cloud.

View full task list

Tool-using runs without an orchestration layer

Attach knowledge bases, web search, HTTP fetch, a calculator, Python execution, and sub-agents. Set a step limit. No orchestration code required.

Point it at where your knowledge already lives

  • OneDrive
  • Dropbox
  • Notion
  • Google Drive
  • S3 / object storage
  • Direct upload

Every request, replayable

Opt-in per-endpoint logging stores the raw input and output so you can inspect a failed call the same way you would a terminal capture. Data never leaves the customer's own project.

Cost, latency, and utilization in one place

Spend by model

See which checkpoints actually consume budget, not a blended average.

Percentiles, not averages

p50 / p95 / p99 so tail latency is visible before users feel it.

GPUs you already own

How much of the pool is busy versus sitting idle between bursts.

Role-based access, API keys, and audit logs — as a table, not a diagram

The same controls named on the landing page: roles, keys, audit logs, and network isolation. This is the permission model those sentences refer to.

Role Deploy models Manage billing View analytics Manage team Create API keys
Owner Yes Yes Yes Yes Yes
Admin Yes — Yes Yes Yes
Developer Yes — Yes — Yes
Viewer — — Yes — —

Taking a short development break

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Cloud pricing

Rates for hosted SynapsAI

Everything on this page applies to our managed cloud. Deploying on your own infrastructure or bringing your own cloud (on-prem / BYOC) is priced separately.

Contact us for on-prem & BYOC

Model pricing

Inference and storage

Compute depends on model size, precision, and GPU memory. Use the estimator for your Hugging Face model, or scan the example rates below.

Billing plan

  • Per-hour — steady workloads with predictable throughput
  • Per-token (common) — variable generation; pay for input and output volume

You choose one billing model for compute; you are not charged both ways at once.

Estimator

Estimate your model costs

Enter your model details for a preliminary cost estimation. For precise quotes, please contact us.

Example LLM rates

BF16 · 128k context · per hour

  • 35B Parameters — $5.4/hr
  • 24B Parameters — $4.5/hr
  • 8B Parameters — $3.0/hr

Example transcription rates

per hour

  • 2B — $0.70/hr

Estimated costs cover Super-Fast storage per month, hourly compute, and per-token compute for input and output. These are estimates. Actual costs may vary based on exact model architecture and resource utilization. Storage costs only apply if Super-Fast Readiness is chosen.

Tool usage

Agent tools

When agents call external tools, usage is metered per invocation. Rates below are loaded from the live catalog when available.

Tool Rate Unit
Web search $0.01 per search unit
Knowledge-base retrieval $0.0050 per search

Knowledge

Ingestion

Adding documents to a knowledge base runs an embedding pass over the text so chunks can be retrieved later. You pay for the tokens processed during that ingestion step—not again on each agent search (retrieval is listed under tool usage).

Operation Rate Unit
Document ingestion (embeddings) $0.04 per million tokens embedded

Storage

What you keep

Stored bytes are billed by the gigabyte each month. That covers model artifacts, documents in a knowledge base, and request payloads when request logging is turned on. The rate is loaded from the live catalog when available.

Stored data Rate Unit
Model artifacts — prepared checkpoints and related files $0.25 per GB / month
Knowledge-base documents — source files kept for retrieval $0.25 per GB / month
Saved request payloads — inputs and outputs, when logging is enabled $0.25 per GB / month

Get in touch

Contact us

Cloud, on-prem, or a custom deployment on hardware you already run — tell us what you need.

How we help

Whether you need a demo, an on-prem conversation, or a partnership — complete the form and our team will respond promptly.

  • Demo requests
  • On-prem & client hardware
  • Sales & pricing questions
  • Technical support

All-in-one AI platform ops, on our cloud or yours

Serve your own models, knowledge, and agents from one runtime — start hosted, then take the same stack to hardware you control.

Start on the cloud Explore the platform