Dedicated inference lanes
Inference Without the Queue.
GenovaVerse runs multi-tenant AI inference on a dedicated RTX 5090 (24 GB) and 64 GB DDR5 host. Your lane is reserved for you; when it saturates, RabbitOS3 routes the traffic to cloud endpoints automatically. You never sit in a queue.
- Multi-tenant routing
- Backbone unload optimization
- Overflow cloud support
- SLO-backed performance
OpenAI-compatible /v1 API · from $0.003 / 1K tokens · live SLO telemetry
How it works
No queue. A routing decision instead.
Shared inference farms queue you when capacity runs out. GenovaVerse removes the queue by design: every tenant owns a dedicated lane, and saturation triggers a failover, not a wait.
Your lane, reserved
You get a dedicated inference lane — a reserved slice of the RTX 5090 + DDR5 host, with isolated containers (C1–C11) grouped by tier. Your throughput is not shared with anyone else's burst.
Saturation is detected
Per-container health monitoring runs on a 10-second cadence. RabbitOS3 — the router — watches lane load, model class, and SLO telemetry continuously.
Overflow, not stall
When a lane saturates, the request fails over to cloud endpoints (Novita) automatically. You pay a metered overflow rate — you never pay queue time. T4/T5 overflow to reserved endpoints first.
Architecture
The infra is the story.
One dedicated host, engineered so the flagship backbone and the tenant lanes can share it without fighting over it.
27B flagship backbone · 64K context
The 27B backbone stays 64K-context at all times. When tenant lanes are active, the backbone unloads from VRAM and reloads on demand — that's the backbone unload optimization: tenants get the GPU while the backbone stays available, and neither side waits on the other.
Dual 14B batched lane
Two mid-size models run batched for steady tenant throughput — the workhorse lanes that carry everyday chat, triage, and agent traffic at low latency.
C1–C11 isolated containers
9–11 isolated containers grouped by tier: general, small-mid, mid/large (Gemma-4 12B, Llama-3 8B class), specialized multimodal, and ultra-premium multimodal. Health-checked every 10 seconds.
Control Tower telemetry
Live SLO/SLA status, per-request lane vs. overflow attribution, surcharge tags, and budget alerts — the same dashboard we use, visible to you.
| GPU | NVIDIA RTX 5090 Laptop · 24 GB GDDR7 |
|---|---|
| Memory | 64 GB DDR5-5600 (2×32 GB) |
| Flagship model | 27B backbone · 64K context window |
| Tenant lanes | Dual 14B batched · tier-grouped containers C1–C11 |
| Router | RabbitOS3 — tier routing, T4/T5 approval gates, live SLO telemetry |
| Overflow | Automatic failover to cloud endpoints (Novita) · metered at tier overflow rate |
| API | OpenAI-compatible /v1 endpoint |
Tiers
Five tiers. One rate card.
Rates are per 1,000 tokens, input + output, on your dedicated lane. No per-request minimums. T4 and T5 sit behind an approval gate.
Entry level. General containers (TinyLlama / Phi-3 class). Basic + Query agents.
Small teams. Adds C4 access and DataAgent.
Mid/large models (Gemma-4 12B class), ResearchAgent included, 99.9% SLO.†
Specialized multimodal lane. Vision, Code, Ops agents. Approval gate.
Ultra-premium multimodal. Orchestrator + Strategy agents. Approval gate.
† Proposed SLO value — confirmed at onboarding. Agent surcharges, overflow rates, monthly bands, and the full SLO table →
Monthly availability, T3–T5 †
p95 first-token latency, T3 †
Container health-check cadence
Queue positions you will ever sit in
† Proposed targets — confirmed at onboarding. Missed availability targets carry a 10% monthly credit per failed target.†
Request access
Tenancy is lane-fit, not sign-up.
Lanes are dedicated and finite, so we match your workload to a tier before provisioning. Send the application — hello@genovaverse.io replies within one business day.
Complete the verification to open the application form.