Infrastructure / Compute · Layer 01

Run AI workloads without owning the infrastructure.

The compute layer of the FelixSphere stack. On-demand inference and GPU compute for the work beyond chat, billed by consumption instead of reservations.

01 /Workloads

AI has work to do. Give it the compute.

Data enrichment · Offline inference

Batch processing

Run large inference jobs over datasets without holding capacity between runs.

Semantic search · RAG

Embeddings

Embed corpora of any size for retrieval, search, and clustering.

Extraction · Classification

Document pipelines

Parse, extract, and classify documents at volume.

Model adaptation · Training

Fine-tuning

Adapt models to your domain on capacity you do not have to plan.

02 /The compute model

From workload to output, without capacity planning.

  1. 01
    Define

    Describe the work: the model, the data, the output you need.

  2. 02
    Run on demand

    Compute is allocated for the job, executed, and released.

  3. 03
    Keep the output

    Results land where you need them. You pay for what ran.

03 /Consumption, not commitment

Your work has a runtime. Your bill should too.

Unify Compute is in development. Rates and availability will be announced at launch. For enterprise and AI lab requirements beyond on-demand workloads, FelixSphere scopes capacity directly.

Enterprise capacity, scoped with our team
  • Training runs
  • Production inference
  • Dedicated compute
  • GPU clusters
  • Private and enterprise AI infrastructure
Unify GridIn development

Lock your GPU capacity before you need it.

Unify Grid lets a buyer fix today the price and quantity of GPU-hours for a future window, and lets a seller fill capacity that would otherwise sit idle. Every contract is delivered as real GPU time on Unify Compute and metered on delivery.

In development. No prices are published and no contract has been signed yet; accounts are by invitation.

  1. 01
    GPU-hour price reference

    A daily price per standard grade of GPU (accelerator, node, interconnect, region, SLA), from the list prices of clouds and neoclouds.

  2. 02
    Capacity forwards

    Lock GPU-hours of a grade in a future window at a fixed price. Buyers and sellers are matched; Unify Grid holds no inventory.

  3. 03
    Long-to-short capacity

    Multi-year data-centre capacity offered as short forwards. It needs capital and a hedge, so it waits for the first two.

  4. Price → Match → Deliver
↔ Sell to FelixSphere

Have spare compute, data, or token credits? Sell them to us.

Sell GPU compute

Idle clusters, reserved capacity you are not using, or spare GPUs in your data center. We put it to work on AI workloads.

Sell data

Domain datasets, enterprise corpora, robotics and video captures, or expert work. We review it, record provenance, and bring it to AI teams.

Sell token credits

Unused AI model and API credits from providers you have committed to. We turn them into capacity for Unify API traffic.

Compute · Data · Models · Intelligence

Tell us about the workload.

Batch job, fine-tune, or a production inference footprint. We will tell you how we would run it.