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Decentralized Inference, Drop-In Simple

OpenAI-compatible API, smart routing across community GPU nodes

Resultity Cloud is a drop-in inference layer: the same OpenAI-compatible API, but routed through a decentralized network of community GPU nodes. You switch the endpoint and key — nothing else. Infrastructure stays current, models are diverse, and performance scales automatically without central chokepoints.

Choosing Resultity means up to 80% lower cost, access to 50+ production-ready models (7B–70B, text, code, vision, audio), and minutes to migrate without rewrites. No egress fees, no vendor lock-in — just scalable inference with the flexibility to pick the right model for every workload.

For Developers

Power IDE assistants and automation flows using an OpenAI-compatible API. Early-stage startups can ship MVPs without rewrites, keep stacks portable, and control usage via quotas and telemetry.

For Researchers

Researchers, students, and public sector teams

Run experiments and classroom projects with reproducible configs and versioned models. Use policy controls and audit-ready logs to manage access and track activity at scale.

For Business Teams

Add AI features to customer workflows via tenant-aware keys, metering, and routing guardrails. Growing startups and SMBs operate reliably across environments with predictable, transparent costs.

Want to dive deeper?

Learn how the network works, node incentives, and how to get started.

Inference Nodes Read the docs

Resultity vs Centralized Clouds

Drop-in, OpenAI-compatible routing over a distributed GPU network — compare at a glance.

Criterion	Resultity Cloud	Centralized Clouds
Cost per inference	Up to 80% lower via community supplyLower	Premium pricing, egress and quota add-onsHigher
Migration & compatibility	OpenAI-compatible; switch endpoint/key in minutesSeamless	Proprietary APIs, code rewrites, contractsComplex
Resilience & routing	Decentralized routing, Subcloud isolationDistributed	Region/provider dependenciesCentralized
Latency	Slightly higher in some regions due to node distributionMinor trade-off	Optimized data-center peering keeps latency very lowLower
Streaming & batching	Supported via compatible endpointsSame	Supported across major APIsSame
Observability & metering	Transparent usage, per-tenant keysSame	Usage dashboards, billing metersSame

High-Impact Use Cases

Optimized experience and significant savings on the scenarios companies rely on every day

IDE & Dev Tools

Who: Developers, plugin authors
Where: VS Code, JetBrains, terminals, CLIs
Tools: Extensions, LSP hooks, CLI helpers
Key features: OpenAI-compatible API, pinned models

Connect inline copilots and refactors without rewrites; keep configs reproducible across teams.

Reduce spend ~60–75%

Knowledge & Retrieval

Who: Data teams, ML engineers
Where: Doc stores, ticketing, wikis, BI
Tools: Embeddings API, pgvector, Pinecone, Weaviate
Key features: regional routing, reproducible runs

Build enterprise search and Q&A with stable embeddings and predictable spend.

Reduce spend ~40–70%

User Applications

Who: SaaS teams, no-code builders, startups
Where: Web/mobile apps, plugins, backends
Tools: n8n, Zapier, serverless functions
Key features: drop-in API, instant switch

Ship chat, assist, and automation features fast with portable integration.

Reduce spend ~50–70%

Enterprise Systems

Who: Enterprise IT, solution providers
Where: ERP, CRM, ITSM, analytics
Tools: API gateways, SDKs, middleware
Key features: per-tenant keys, policy controls, audits

Embed tenant-aware inference into core systems without re-architecting billing or access.

Reduce spend ~40–60%

Agents & Workflows

Who: Product, ops, automation teams
Where: Job queues, orchestrators, RPA
Tools: LangChain, Airflow, temporal, CI/CD
Key features: private Subclouds, routing guardrails

Run background agents and pipelines with isolation, quotas, and auditable execution.

Reduce spend ~50–80%

Speech & Vision

Who: Support teams, media apps, operations
Where: Call centers, meeting tools, media pipelines
Tools: ASR (Whisper-class), TTS, image recognition/generation
Key features: streaming, batch modes, regional routing

Power transcription, voice bots, and visual automation closer to users.

Reduce spend ~60–70%

Found what fits your needs? Let us know

RTITY Cloud Evolution

Resultity Cloud evolves from a free Testnet into a tokenized Mainnet — expanding from basic chat and code inference to media, embeddings, and Subcloud clusters. Each stage adds stronger economics, community governance, and predictable pricing. The path is designed to keep inference open, affordable, and continuously upgraded without vendor lock-in.

Testnet

Chat and code, async/sync flows

Scope: Chat Completions and Code Generation for daily needs
Incentives: Every consumer earns RCP points and joins airdrops
Pricing: Free with limits, or via testnet tokens

After Mainnet Launch

Media support, batch jobs, stablecoins

Scope: Partial support for media + embeddings, batch & competitive requests
Payments: Stablecoins as a temporary option
Market fit: Partner onboarding, pricing balanced by real supply and demand

Tokenized Mainnet

Full media, embeddings, Subclouds

Scope: Full support for media and embeddings
Subclouds: Rent clusters with routing + isolation for SLA
Payments: $RTITY tokens with pre-purchased credits
Programs: Startup and social tracks
Pricing: Competitive vs market offers

Milestones of RTITY Cloud — see what’s next

Roadmap

Effortless Migration to the RTITY Cloud

Keep your OpenAI-compatible interface — just change the endpoint and key to unlock lower costs, higher reliability, and transparent governance.

Switching to Resultity Cloud is frictionless: in most cases it means just updating your API endpoint and key. You keep the same OpenAI-compatible interface, but gain lower costs, better reliability, and transparent governance powered by community nodes and token incentives.

Explore the bigger idea ➪

Vision

Get Involved

Three straightforward ways to contribute today

Join the Testnet — run real requests, surface issues, and help validate routing, limits, and pricing envelopes.

Developers & Node Operators — bring new contributors to expand coverage and speed up feature rollout across regions.

Referrals & Rewards — connect other projects, earn referral income, and qualify for community airdrops tied to adoption.

Startups & Live Services — integrate early, share requirements, and co-design production paths that fit your workloads.

Tell us your needs and ideas — join the waitlist and become an early adopter.

What You Get

Practical value for early participants

Your requests prioritized — we track recurring needs and fold them into GA configs, model menus, and defaults.

Direct maintainer feedback — fast loops on routing targets, rate limits, and API surface as features harden.

Early capacity planning — pre-request Subcloud shapes and regions so launch windows align with your demand.

Priority access. Your requests heard. Direct impact on the roadmap.

RTITY CLOUD: Save up to 80% on AI inference