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.
Live results from the Omniscient Compute index — ranked by price, performance, availability, and compliance fit, never by provider.
50,000+
Compute SKUs indexed
25+
Providers
8
Resource classes
Live
Pricing feed
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
Neocloud · A · H100 SXM · vLLM
Lowest
Neocloud · B · H100 SXM · TensorRT-LLM
Best Value
Hyperscaler · E · H100 PCIe
On-Demand
Composite Value score · normalised TCO · vendor-neutral
Try itAutomated 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
RecommendedVendor-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.
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-providerThe world's compute, in one search bar.
Try Omniscient on your next workload. Bring your spec; we'll bring the catalog.
Vendor-neutral by construction. Not affiliated with any cloud provider.