AI infrastructure software

Run and secure AI, wherever it runs.

Three products, one platform: Nimbo Fleet runs your AI estate, Nimbo Secure protects it, and Nimbo Turbine turns GPUs into tokens. On your hardware, in your clouds, or on Nimbo capacity.

Runs on-prem and in any cloudNVIDIA and AMDOpenAI-compatible
the nimbo platformillustrative
YOUR APPS AND AGENTSCopilotsRAG searchAgentsBatch jobsNimbo Turbinetoken API · dedicated endpoints · fine-tuningNimbo Fleetcontrol plane · quotas · placement · chargebackYour data centersAWS · GCP · AzureNimbo capacityVMware · Proxmox · OpenShift · EKS · GKE · AKS · NVIDIA · AMDNimboSecureAI SOC agentsSIEM sourcesGRC evidenceAttestationAudit trail

ProgramsNimbo Kinetics is a member of NVIDIA Inception and AWS Startups.

NVIDIA Inception Program memberAWS Startups member
The platform

Three products that work alone and better together

Start with whichever problem is loudest. Each product ships with the same identity, audit trail and bill.

Control plane

Nimbo Fleet

One control plane for every GPU you use: VMware, Proxmox and OpenShift clusters, EKS, GKE and AKS accounts, and Nimbo capacity.

  • Self-service GPUs with quotas and policy
  • Placement by price, data location and rules
  • Chargeback per team, project and model
Explore Fleet →
AI Security Platform

Nimbo Secure

An AI SOC, SIEM integration and GRC in one multi-tenant platform, with AI agents running on infrastructure you control.

  • L0 to L3 AI agents triage every alert
  • Wazuh, Splunk, QRadar, Sentinel and more
  • Comply once, satisfy many frameworks
Explore Secure →Try the live demo →
Token API

Nimbo Turbine

Turn GPUs into tokens. Leading open models behind one OpenAI-compatible API, on Nimbo capacity or your own GPUs.

  • Pay per token, from $0.14 per million
  • Dedicated endpoints for your models
  • LoRA and full fine-tuning
Explore Turbine →
How teams adopt Nimbo

Start with tokens. Grow into a fleet.

Every step runs on the same account, the same API key and the same bill. Move up when the workload asks for it, not when a sales cycle does.

Step 1

Call a model

Pay per token for open models through an OpenAI-compatible endpoint. Change one base URL.

Nimbo TurbineSee models and prices →
Step 2

Dedicate an endpoint

Your fine-tuned or custom model on reserved GPUs, with throughput and latency you can plan around.

Nimbo TurbineSize an endpoint →
Step 3

Reserve GPUs

H200, B200, B300 or AMD MI300X and MI355X by the hour, by the month, or as a bare-metal cluster.

Nimbo ComputeReserve capacity →
Step 4

Run hybrid

Bring your own clusters under the same control plane, add Nimbo Racks on-premises, and burst into Nimbo when they fill up.

Fleet · Rack · OpenShift AIPlan a hybrid rollout →
Why Nimbo

Your AI already runs in four places. Run it, and secure it, as one.

Most enterprises own GPUs in a data center and spend on two or three clouds. Nimbo Fleet treats all of it as one pool, Nimbo Secure watches all of it, and Nimbo Turbine serves models from whichever GPUs are cheapest.

  • Keep the estate you have.VMware, Proxmox and OpenShift clusters join as they are. No forced migration before you see value.
  • One scheduler across NVIDIA, AMD and TPU.Placement follows price, data location and policy, not which vendor sold the card.
  • Burst instead of over-buying.Size on-prem for the steady load and send peaks to reserved Nimbo capacity.
  • One bill and one chargeback model.Tokens, GPU-hours and your own hardware reported per team, per project, per model.
Integrations

Works with the platforms you already run

Every integration carries its status, so you can see what is ready to deploy today.

VMware vSphere / VCFGA
Discover GPU hosts, carve VMs, keep vMotion and existing tooling
Proxmox VEGA
Clusters, GPU passthrough and vGPU, the landing zone after VMware
Red Hat OpenShift / OpenShift AIGA
Operator-based install, GPU Operator, llm-d and vLLM serving
Amazon EKSGA
Attach existing clusters, schedule into your own GPU node groups
Google GKEGA
Attach clusters; schedule TPU and GPU node pools in your GCP account
Azure AKSGA
Attach clusters, quota and chargeback across subscriptions
NVIDIA Hopper and BlackwellGA
H200, B200 and B300 on Nimbo capacity; MIG and full-node tenancy
AMD InstinctGA
MI300X and MI355X on Nimbo capacity, ROCm images maintained
Google Cloud TPUPreview
Orchestrated in your own GCP project through GKE; billed by Google
Nimbo RackGA
Managed on-prem GPU racks that join Fleet on day one
Kubernetes and Slurm as a serviceGA
Managed clusters with CPU and GPU node pools
GAgenerally availablePreviewavailable to design partnersRoadmapannounced, not yet available
Trust

AI you can prove is isolated.

Wherever the workload runs, tenancy, attestation and audit are built into the platform, not bolted on.

Dedicated tenancy

No GPU sharing across customers by default. Memory is scrubbed between tenants.

Confidential inference

Hopper and Blackwell confidential computing with remote attestation through the API.

Guardrails in the price

Prompt-injection, jailbreak and PII policies per API key, with no extra network hop.

Works with your SOC

Logs stream to Splunk and Sentinel; policies interoperate with your existing AI security tools.

See the platform on your own estate.

Book a 30-minute demo of Fleet, Secure and Turbine, or create a Turbine API key and send your first tokens today.