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Omniscient Compute

The Google of compute.
Search every cloud. Pick. Deploy. Run. Recycle.

The world has tens of thousands of compute SKUs across hyperscalers, neoclouds, regional providers, sovereign clouds, and community supply. Omniscient Compute indexes them all (GPU, CPU, storage, networking, containers, databases, edge, specialised) and runs an automated loop on top: search the right resource, pick the best fit, provision it, operate it, recycle it. Vendor-neutral by construction.

50,000+

Compute SKUs indexed

25+

Providers

8

Resource classes

Live

Pricing feed

Talk to an architect

The vision

Compute is fragmented. We make it searchable.

A modern workload spans GPU on one cloud, storage on another, a sovereign region for sensitive data, a regional provider for cost, and a specialised accelerator for the next experiment. No single vendor sells all of that, and certainly none sells it at the right price for every workload.

Omniscient Compute is the layer that knows where every compute resource on Earth lives, what it costs, what it's good at, and how to put it to work, without lock-in.

Indexed today

50,000+

compute SKUs across 25+ providers, in one searchable, normalised catalog.

All major

Hyperscalers

12+

Neoclouds

8+

Regional

UK / EU

Sovereign

DePIN-ready

Community

Major partners

Bare metal

What we index

Eight resource classes. One catalog.

Every class is first-class: same search, same provisioning, same billing surface. The catalog extends; new classes plug in without re-architecture.

GPUs & Accelerators

H100, H200, B200, GB300, MI300X across hyperscaler, neocloud, and community supply. Spot, on-demand, reserved.

  • ·NVIDIA · 5 generations
  • ·AMD MI300X
  • ·Custom accelerators

CPU & Bare-Metal

x86 and ARM cores normalised on benchmarked performance-per-dollar, not raw vCPU count. Provisioned in minutes.

  • ·AMD EPYC, Intel Xeon
  • ·ARM Graviton / Axion / Ampere
  • ·Bare-metal

Storage & Data Lakes

Block, object, file, and parallel/scratch. Total cost to use AND total cost to leave: egress, retention, and data gravity surfaced upfront.

  • ·Object · block · file
  • ·Parallel: WEKA · Lustre · VAST
  • ·Lakehouse-aware

Networking & Interconnect

VPCs, private interconnect, CDN, BGP routing, AI fabric. Programmatic cross-connects up in minutes, not weeks.

  • ·Private interconnect
  • ·RDMA / InfiniBand fabrics
  • ·CDN · transit · peering

Containers & Serverless

Managed Kubernetes, serverless containers, FaaS. Normalised effective-cost across per-request, per-GB-second, per-vCPU-second.

  • ·Kubernetes (EKS · GKE · AKS)
  • ·Knative · Cloud Run
  • ·FaaS · WebAssembly

Databases & Analytics

Managed SQL, NoSQL, vector, time-series, and lakehouse table formats. Provision-and-connect today; honest about data gravity.

  • ·SQL · NoSQL · Vector
  • ·Iceberg · Delta · Hudi
  • ·Streaming · OLAP

Edge & Distributed

Edge PoPs, regional providers, and community / decentralised supply. Geography and latency as filterable attributes.

  • ·300+ edge PoPs
  • ·Regional providers
  • ·Community supply

Specialised & Emerging

TPUs, FPGAs, quantum back-ends, HPC. Aggregation pattern: new resource classes plug in without re-architecture.

  • ·TPUs · Trainium · IPUs
  • ·FPGAs · HPC
  • ·Quantum aggregators

The loop

Search. Pick. Provision. Run. Recycle.

Five steps, fully automated. You stay in the search bar; everything downstream just happens. No console-hopping. No IaC plumbing. No idle-but-billed surprises.

STEP 01

Type what you need. In English or in specs.

A unified search across every indexed provider and every resource class. Filter by GPU model, region, term, compliance, egress profile, sustainability, and combine them. Natural-language queries get parsed into structured filters automatically.

  • Faceted filters across providers, regions, compliance, term
  • Natural-language → structured query parsing
  • Saved searches with price-drop and availability alerts

Workload matcher

Describe the workload. Get the stack.

Real examples. Four different resource classes. Same search, same ranking, same one-click deploy. Provider names anonymised here; inside the search engine, you see real vendors so you can pick.

Ranked results · Live pricing

Live
01

Neocloud · A · H100 SXM · vLLM

Lowest

$2.49/hr
02

Neocloud · B · H100 SXM · TensorRT-LLM

Best Value

$2.49/hr · 1yr
03

Hyperscaler · E · H100 PCIe

On-Demand

$2.95/hr

Composite Value score · normalised TCO · vendor-neutral

Try it

Automated lifecycle

The compute runs itself. You set the policy.

From provisioning to teardown, Omniscient operates the resources you picked. Reconciliation, drift correction, idle detection, spend caps, and compliance guardrails, across every provider, on policy you write once.

Pre-warmed pools

Sub-minute workload startup with cached container images and warm capacity.

Auto-rebalance

Workloads shift across providers as price and availability change, within your policy.

Drift detection

Resources reconciled continuously against declared state. Anything out-of-band gets caught.

Idle auto-recycle

Idle compute identified and torn down on policy. Never an idle-but-billed surprise.

Compliance guardrails

Policy violations alert and auto-remediate. Data residency and classification enforced at provision time.

Spend caps

Hard budget ceilings per project, team, or workload, across every provider.

Unified billing

One pane of glass for every dollar.

Multi-cloud bills are a nightmare. Different units, different currencies, different discount structures, egress hidden in line items. Omniscient normalises it all so cost is auditable, allocable, and forecastable across every provider you touch.

The durable value isn't the broker margin. It's the visibility and control that compound with every new resource class you bring under the umbrella.

Cross-provider cost view

Every provider, every resource class, every term, in one normalised dashboard.

Reserved-vs-spot break-even

Continuous analysis of when to commit vs. when to ride spot. Recommendations land before bills do.

Cost allocation

Per-team, per-project, per-workload chargeback with tag-aware aggregation across clouds.

Idle waste detection

Resources running with no traffic, no GPU utilisation, or no callers. Flagged and queued for recycle.

Compliance & sovereignty

Where data lives is a first-class filter.

Sovereignty isn't an afterthought tacked onto a search bar. It's a constraint enforced at provision time. Pick the framework; Omniscient picks the providers and regions that match.

United Kingdom

  • NCSC Cloud Security Principles
  • G-Cloud framework
  • OFFICIAL / OFFICIAL-SENSITIVE
  • Cyber Essentials Plus

European Union

  • EU Data Boundary
  • GDPR data residency
  • DORA financial-services-aware
  • BSI C5 (DE)

Global

  • SOC 2 Type II
  • ISO 27001 / 27017 / 27018
  • HIPAA-eligible
  • FedRAMP-equivalent (partner)

Air-gapped deployments and classified environments handled in partnership with our sovereign and managed-services teams.

Built for every role

One platform. Every persona.

AI / ML Teams

Find the right GPU at the right price for every training and inference workload. Burst to spot, fall back to on-demand, never lose the experiment.

Platform Engineers

One IaC surface across every cloud. Pre-built modules, fleet-wide drift detection, golden-path templates that work everywhere.

FinOps & Finance

True multi-cloud cost visibility with policy guardrails. Spend caps that hold. Chargeback that ties out to the GL.

Security & Compliance

Data residency and classification enforced at provision time. UK NCSC, EU sovereign, and global frameworks as filterable attributes, not afterthoughts.

CIO / CTO

Strategic optionality. No vendor lock-in. Move workloads as the market moves. Modernise without betting the company on one cloud.

Developers

One API for any compute. ⌘K to search, one click to deploy, Git-tracked manifests, no SDK gymnastics. Ship faster, switch easier.

Cluster orchestration

Pick the silicon. We'll run the cluster.

Fleet management, topology-aware scheduling, multi-tenant quotas, pre-warmed pools for sub-minute startup, whether your GPUs sit on a hyperscaler, a neocloud, or your own metal.

Fleet Management

Centralised visibility across every GPU node: health, firmware, lifecycle.

Multi-Tenant Scheduling

Fair-share, preemption, gang scheduling, topology-aware placement.

Utilisation Dashboards

Real-time GPU utilisation, memory, temperature, power across the fleet.

Instant Provisioning

Pre-warmed pools and image caching for sub-minute workload startup.

Job Queue Management

Priority queues with SLA guarantees, deadline-aware scheduling, backfill.

Auto-Scaling Policies

Scale GPU pools by queue depth, latency target, or time-of-day schedule.

Capacity Planning

Predictive demand forecasting and procurement recommendations.

Custom CRDs

Kubernetes CRDs for GPU workloads, quotas, and scheduling priorities.

Under the hood:RKE2 + Rancher + Cilium eBPF + KubeVirt + GitOps via ArgoCD. FIPS-compliant, CIS-benchmarked. You don't see Kubernetes unless you want to.

Why Omniscient

Three ways to do multi-cloud. One that works.

Single-cloud lock-in

All eggs in one basket

  • Resource selection

    Whatever that cloud sells

  • Pricing leverage

    None. You take their list rate

  • Sovereignty / classification

    Constrained to that cloud's regions and certifications

  • Portability

    Migration is a six-month project

Build it yourself

Custom multi-cloud platform

  • Resource selection

    Whatever you have time to integrate

  • Pricing leverage

    Strong, but a year to build the comparators

  • Sovereignty / classification

    Possible, but custom-built per region

  • Portability

    Yours, with a dedicated team to maintain it

Omniscient Compute

Recommended

Vendor-neutral by construction

  • Resource selection

    25+ providers, 8 resource classes, one search

  • Pricing leverage

    Live cross-provider pricing, every term

  • Sovereignty / classification

    UK NCSC / EU sovereign / global, as filters

  • Portability

    Built-in. Move workloads as the market moves

Developer surface

A single API for any compute.

CLI, REST, and a Python SDK that all wrap the same catalog and provisioner. Manifests get committed to your Git repo so deployments are auditable, reversible, and reviewable. No SDK gymnastics per provider.

Python SDKGo SDKREST APICLITerraform providerCrossplane XRDsPulumi components
omniscient.py
from omniscient import Catalog, Workload

# Describe what you need
wl = Workload(
    name="llama-70b-eu",
    resource_type="gpu",
    spec={"model": "H100", "count": 8, "interconnect": "nvlink"},
    region="eu-west",
    budget_per_hour=3.00,
    compliance=["GDPR", "EU-residency"],
)

# Search the world's compute
results = Catalog.search(wl, sort_by="value")

# Pick the top result and deploy
deployment = results[0].deploy(
    name="llama-prod",
    autoscale={"min": 0, "max": 16},
    idle_recycle_after="15m",
)

# Live operations
print(deployment.status)        # running, healthy
print(deployment.cost_today())  # $42.18 (live)
deployment.attach_storage("s3://my-bucket")  # cross-provider

The world's compute, in one search bar.

Try Omniscient on your next workload. Bring your spec; we'll bring the catalog.

Try the searchTalk to an architect

Vendor-neutral by construction. Not affiliated with any cloud provider.