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Now available: H100 SXM5 clusters

The infrastructure layer
for modern AI

GPU clusters, model hosting, and inference APIs — built for teams that can't afford to slow down.

No credit card required · Free tier included · SOC 2 Type II

kybra console · us-east-1a
8 nodes running
Recent inference callsLast 60s
ModelModeP99Tokens
meta/llama-3.1-70b-instructstream42ms1,204
mistralai/mistral-7b-v0.3complete31ms856
google/gemma-2-27b-itstream61ms2,108
meta/llama-3.2-11b-visioncomplete88ms448
12,847req / min
44msavg latency
99.99%uptime SLA

Trusted by AI teams worldwide

AnthropicMistralRunwayCohereStability AITogether AIReplicateModal
99.99%Uptime SLAGuaranteed availability
<48msP99 LatencyGlobal median inference
10,000+GPUs availableH100s, A100s, L40S
150+Hosted modelsReady to deploy

Platform

One platform. Three critical layers.

Compute, model serving, and developer APIs — unified under one roof. Stop managing five vendors to run one AI stack.

GPU Clusters

On-demand compute, zero cold-start

Provision H100 and A100 clusters in under 60 seconds. Dedicated nodes, no shared tenancy, no queuing. Your workload runs on its own silicon.

H100 SXM5 · A100 80GB · L40S

Model Hosting

Any model. Production endpoint. Now.

Deploy open-source models behind a hardened inference API. Auto-scaling, rolling deployments, and version pinning — no infrastructure work required.

150+ models supported

Inference API

Global routing. Sub-50ms P99.

Requests hit the nearest healthy cluster automatically. Streaming, batching, and function calling are included — fully OpenAI-compatible.

12 regions · 99.99% SLA

GPU Clusters

Dedicated compute.
Zero cold-start.

Kybra clusters are purpose-built for AI workloads. Every node ships with NVLink interconnects, NVMe-attached storage, and real-time telemetry — so your team ships with confidence, not guesswork.

  • Dedicated GPU nodes — no noisy neighbors, ever
  • NVLink and InfiniBand for multi-node training
  • NVMe persistent storage, always attached
  • Kubernetes-native scheduling with priority queues
  • Real-time GPU telemetry and per-job cost visibility
  • Spot and reserved pricing with automatic failover
Cluster · us-east-1aHealthy
node-01H100 SXM5 80GB94%
node-02H100 SXM5 80GB87%
node-03H100 SXM5 80GB72%
node-04A100 80GB55%

3.2 PB/s

Bandwidth

0.8μs

Interconnect

$2.89/hr

Per H100

Model Hosting

Any model.
Production endpoint. Now.

Deploy 150+ open-source models behind a hardened inference API in seconds. Auto-scaling, rolling deployments, and version pinning are included — no infrastructure work on your side.

  • One-command deploy from Hugging Face or custom weights
  • Scales to zero when idle — up again on demand
  • Version pinning and instant rollbacks
  • Private endpoints with mTLS for enterprise workloads
  • Streaming, batching, and function calling included
Model endpoints6 active

meta/llama-3.1-70b-instruct

v3
Live
3 endpointsp99: 44ms12.4k rpm

mistralai/mistral-7b-v0.3

v1
Live
2 endpointsp99: 31ms8.2k rpm

google/gemma-2-27b-it

v2
Live
1 endpointp99: 58ms3.1k rpm
import kybra

client = kybra.Client(api_key="kb_...")

# Stream from any hosted model — OpenAI-compatible
for chunk in client.inference.stream(
    model="meta/llama-3.1-70b-instruct",
    messages=[{"role": "user", "content": "Hello"}]
):
    print(chunk.delta, end="", flush=True)

Developer API

Drop in, not rip out.

The Kybra API is fully OpenAI-compatible. Point your existing SDK at a new base URL and you're done — no code changes, no migration risk. SDKs for Python and TypeScript, plus a CLI for local dev.

OpenAI-compatible

Swap your base URL. Keep every line of existing code.

Streaming and batching

Server-sent events for real-time output. Async batch for throughput.

Function calling

Structured JSON outputs and tool use — same spec as OpenAI.

Customers

What engineering teams say

Kybra cut our inference costs by 40% and we finally hit our SLA consistently. H100 clusters provisioned in under 90 seconds — I didn't believe it until I timed it.

S

Sarah Chen

ML Platform Lead · Synthex

We migrated from SageMaker to Kybra in a weekend. The OpenAI-compatible API meant zero code changes — just a base URL swap and we were running.

M

Marcus Webb

CTO · Orbital Labs

Model hosting is genuinely hands-off. We pinned the version, set autoscaling limits, and walked away. Our team stopped thinking about inference infrastructure entirely.

Y

Yuki Tanaka

Research Engineer · Helion AI

Pricing

Start free, scale when you're ready

No surprise bills. Pay for what you use, with predictable monthly tiers for growing teams.

Starter

Free

No credit card required

  • 50 GPU-hours / month
  • 5 hosted model endpoints
  • Community support
  • Shared inference cluster
  • 99.9% uptime SLA
Get started free
Most popular

Growth

$199/mo

per month, billed monthly

  • 500 GPU-hours / month
  • 50 hosted model endpoints
  • Email & Slack support
  • Dedicated inference nodes
  • 99.99% uptime SLA
  • Custom model fine-tuning
Start Growth plan

Enterprise

Custom

Volume pricing available

  • Unlimited GPU-hours
  • Unlimited model endpoints
  • Dedicated Slack + SRE
  • VPC & private networking
  • Custom SLA guarantees
  • SOC 2 / HIPAA / BAA
Talk to sales

All plans include the Kybra CLI, SDK access, and the developer playground. Compare full feature list →

Your cluster is ready
in 60 seconds.

No credit card required. Scale from a single model endpoint to thousands of GPUs — at your pace.

Questions? [email protected]