Model and platform

SUPER II: the model and the computing platform

The SUPER II platform is built by the Super Intellect team. A core on frontier-class models, surrounded by planning, result checks, tools and dedicated work environments for AI employees.

2100 GBH200 · B200 · B30024/7
2 100GB

of video memory is needed for one working copy of a model of this class. That is more than 2 TB

40+kW

is consumed by the accelerator cluster that runs such models

24/7

the cluster runs around the clock with active load and cooling management

Computing platform specs are given for the class of models SUPER II runs on.

Cost

Why SUPER II is paid

A model of this class does not fit into any single computer. It needs an accelerator cluster, electricity, cooling and people who look after it. These are real costs every hour.

Accelerator racks with liquid cooling and the SUPER II core
Accelerator cluster · 24/7
Video memory to scale

The model does not fit into one graphics card

  • Powerful gaming graphics cardup to 32 GB
  • NVIDIA H200 class accelerator141 GB
  • NVIDIA B300 class accelerator288 GB
  • One working copy of the modelabout 2100 GB

That is about 15 H200 class accelerators just to hold one copy of the model in memory. Plus servers, network, power and cooling around them.

What the price of an AI employee is made of

  • 01

    Computing

    Accelerators of the NVIDIA H200, B200 and B300 class. Cluster capacity is shared between client tasks.

  • 02

    Power and cooling

    Tens of kilowatts around the clock, active cooling and load management.

  • 03

    Dedicated environment

    Every paid employee has its own Windows machine with a browser and programs.

  • 04

    Maintenance

    Updates, monitoring, security and support during business hours.

Bottom line

That is why the price of an AI employee is close to the cost of computing and maintenance. You pay not for chat access, but for working capacity that does your tasks 24/7.

Mission

A breakthrough in how business works with AI

AI should not just answer in a chat, it should work: take tasks, act in programs and report on the result. The Super Intellect team builds the SUPER II platform for this.

  • AI teams

    Role-based employees who work together like a department.

  • Dedicated environments

    Every paid employee has its own Windows environment: browser, programs, files.

  • Swarms

    A big task is split between several employees and done in parallel.

  • Autonomous work

    The employee plans its own steps and works 24/7, and agrees important actions with you.

How it works

The path of a task through SUPER II

The core thinks and makes decisions. Fast models do the small work, tools provide facts and files. Everything is checked before the answer.

  1. 1

    Request

    You describe the task in words, as you would to an employee.

  2. 2

    SUPER II plans

    Splits the task into steps and chooses who does each one.

  3. 3

    Model cascade

    Micro tasks go to fast compact models.

  4. 4

    Tools

    Facts from the web, the knowledge base and the work environment. Calculations go through a calculation tool.

  5. 5

    Check and result

    SUPER II checks the work and returns a finished result: a table, a file or a report.

Work environments of AI employees
Environment 1 · Windows · online
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Work environments

An AI employee works like a person at a computer

Not only through APIs, but in a real Windows environment with a browser and programs. You see the screen and can stop the work at any moment.

  • Every AI employee works in its own dedicated Windows environment
  • Opens websites, accounts and programs the way a person does
  • The environment screen is visible in your dashboard: screenshots every few seconds
  • Sends emails, publishes and pays only after your confirmation
  • Separate browser profiles for working with several accounts
  • Files and access stay inside the environment and are not mixed with other clients
New direction

SUPER II for robotics

An AI core for robots and automated systems: warehouses, manufacturing, service robots, drones and smart buildings.

Learn more

About the model and the platform

Why is SUPER II paid?
Models of this class are expensive to run. One working copy needs more than 2 TB of video memory (about 2100 GB), it runs on clusters of NVIDIA H200, B200 and B300 class accelerators, and such a cluster draws over 40 kW and is cooled around the clock. Cluster capacity is shared between client tasks, and every paid employee also has its own dedicated Windows environment. So the price of an AI employee is close to the cost of computing and maintenance.
Is it your own model?
SUPER II is a platform built by the Super Intellect team. The core runs on frontier-class models, and around it is our part: task planning, result checks, tools, dedicated work environments and control of important actions. The core and the platform are constantly updated.
Why not one big model for everything?
That is more expensive and slower. A big model is needed where decisions are made. Routine micro tasks are done faster and cheaper by compact models, and SUPER II checks their work.
What does the free plan run on?
On a cascade of compact models without the SUPER II core and without a dedicated Windows environment. It suits chat and simple tasks.
Is my data used for training?
No. Client data is not used to train models and is not passed to third parties for this purpose.
Why does a tool do the math instead of the model?
Language models can make mistakes in arithmetic. So calculations, reconciliations and totals go through a calculation tool, and the model only decides what to calculate.

Build your AI team

Free plan with no card: 1 employee in chat. Dedicated environment on paid plans.