KovaServeKovaServe
For neocloud + GPU providers

Sell an Agentic Inference Cloud, not raw GPU hours.

Raw GPU is commoditizing fast. Package KovaServe on top of your hardware and sell inference + runtime + state + recovery as one serverless product. It's a premium tier your competitors can't match on spec sheets alone.

You're competing on $/hour. Margins are compressing. No premium differentiation. Enterprise buyers ask for primitives you don't have: tenant isolation, audit, runaway protection.

Stack
Your serverless agentic tier (premium)
Audit · budgets · replay · tenant isolation
KovaServe, Agentic Inference Cloud (white-label)
Inference · runtime · state · recovery · SDK
Your GPU fleet
H100 · B200 · RTX 6000 ADA

Package a serverless agentic product on top of your existing hardware. Same GPU utilization, higher margin per hour.

What your product gains

Primitives you'd otherwise build for a quarter.

Premium serverless tier

Package KovaServe on top of your existing H100/B200 fleet. Sell a serverless agentic product alongside raw compute.

White-label managed services

Rebrand the dashboards and API. Your customers see your UI, your pricing, your SLA. KovaServe is the engine inside.

Enterprise-grade primitives

Tenant hierarchies, audit, budgets, replay. The features enterprise buyers ask about on the first sales call.

Same semantics, your hardware

Identical behavior to KovaServe-managed. Your customers can port workloads in and out without application changes.

Operator-first dashboards

Real-time GPU utilization, cache hit ratios, and per-tenant cost. Built for operators, not marketers.

Before / after

What changes for neocloud / gpu providers.

Without KovaServe

  • Competing on $/hour
  • No premium tier
  • Enterprise asks for audit → no answer
  • Customers lock in on AWS Bedrock
  • Raw GPU margins compressing
  • Every customer builds their own checkpoint infra

With KovaServe

  • Competing on a serverless agentic product
  • White-label managed tier at margin
  • Enterprise asks for audit → yes, built in
  • Customers lock in on your managed tier
  • Managed margins expanding
  • Checkpoint infra is on your platform
How you adopt it

Three levels. Pick one and ship.

1
Deploy the cloud
1 week, small team

Drop KovaServe in front of your existing GPU fleet. One serverless API endpoint, N GPU nodes. Single Helm install.

2
Launch a pilot tier
1 month, co-branded launch

Offer a managed execution tier to 5 design customers. Measured cache savings become your first case studies.

3
White-label and scale
1 quarter, co-branded product

Rebrand the dashboards. Wire your billing. Sell managed execution as a first-class product line on your cloud.

Proof

Numbers that matter for this workload.

Premium execution tier on the GPUs you already own.

White-label managed services.

Enterprise-grade primitives: audit, budgets, replay.

Identical semantics, portable to and from managed.

Pricing highlight

Partner tier covers white-label + revenue share. Contact us for terms.

See full pricing
How you start

Three steps. Most teams ship within the hour.

1

Sign up

Create a free account. Credit card, no sales call.

2

Change your base URL

One-line swap in any OpenAI-compatible client. You're now calling the Agentic Inference Cloud.

python
base_url = "https://api.kovaserve.ai/v1"
3

Ship

Every call is now a durable run. Inference, runtime, state, and recovery, bundled. Cache savings and cost attribution come automatically.

Stop assembling inference, runtime, state, and recovery yourself.

Call the Agentic Inference Cloud instead.

Design partner program open. 5 slots this quarter.