UK AI CLOUD
Host models, queue GPU jobs, and ship vector search APIs on UK cloud resources. Tensor Grid keeps training, deploys, and checks in one place.
Connected stack
Host models, queue GPU jobs, and keep training, deploys, and checks in one place.
Run training, APIs, and batch jobs on UK GPU infrastructure with clear tools for ops and research.
Northwind Bank
Vertex Labs
CORE FEATURES
Serve AI models with fixed endpoints and simple version rollouts.
Serve AI models with fixed endpoints and simple version rollouts.
Queue jobs, pick GPU types, and keep compute busy.
Chain data prep, training, and eval in one run.
Add semantic search to apps with fast API calls.
Split big runs across many GPUs and cut training time.
Push new model versions with clear steps and logs.
BUILT FOR TEAMS
Keep GPU use, rollouts, and alerts in one place.
Serve AI models with fixed endpoints and simple version rollouts.
Queue jobs, pick GPU types, and keep compute busy.
Chain data prep, training, and eval in one run.
Add semantic search to apps with fast API calls.
Use case 01
Keep GPU use, rollouts, and alerts in one place.
Use case 02
Ship models fast with pay-as-you-go compute and API endpoints.
Use case 03
Run private workloads with audit trails, controls, and support.
platform uptime
platform uptime
to first GPU job
GPU nodes ready
data centre region
PRICING
1 model endpoint 10 GPU hours Basic usage charts 1 tensor pipeline Community docs
£0
1 model endpoint
10 GPU hours
Basic usage charts
1 tensor pipeline
£99
5 model endpoints
100 GPU hours
Data parallel training
Vector search APIs
Custom
Private model hosting
Dedicated GPU orchestration
Tensor processing pipelines
Large-scale training runs
Proof
“We got our first model live in days, not weeks, and GPU spend stayed easy to read.”
Maya Bennett
Head of ML @ Northstar Bank
“Tensor Grid keeps our training runs and vector search in one place, which cuts handoffs.”
Jonas Reed
Platform Lead @ Orion Works
“The deploy tools are clear, and our team can track jobs without extra systems.”
Ella Grant
Senior Engineer @ Kepler Labs
Integrations
Host models, queue GPU jobs, and keep training, deploys, and checks in one place.
Host models, queue GPU jobs, and keep training, deploys, and checks in one place.
Host models, queue GPU jobs, and keep training, deploys, and checks in one place.
Host models, queue GPU jobs, and keep training, deploys, and checks in one place.
Host models, queue GPU jobs, and keep training, deploys, and checks in one place.
The Map
Questions
Quick answers before visitors choose a product, service, or next step.
Tensor Grid hosts AI models, runs GPU jobs, and powers vector search APIs for apps, tools, and internal teams.
Yes. Start free with a model endpoint, GPU hours, and basic dashboards, then upgrade when your load grows.
Yes. Use data parallel training, tensor pipelines, and GPU orchestration for larger runs across many cards.
Yes. Enterprise plans can use private model hosting, dedicated GPU pools, and custom rollout paths for internal teams.
Workloads run on UK cloud resources, with regions and controls that help local teams meet data rules more easily.
Use live dashboards to watch GPU use, job status, and endpoint traffic in one screen for every project.
Get short notes on new GPU regions, model tools, and release notes. No spam, just useful updates for ML teams.
