AI Gateway
One API. Every configured model.
Access supported models through one compatible interface. Change the model identifier without rebuilding your application.
Explore the gatewayAccess Compute Train Deploy Serve Monetize
The infrastructure
layer for AI.
Access any model. Rent GPUs. Train, deploy, and serve open models. Build production AI from one platform.
Neviri AI Platform
ModelsAPI access
AI GatewayUnified API
GPU ComputeInfrastructure
TrainingFine-tuning
DeploymentModel hosting
InferenceServe APIs
Chat / ApplicationYour users
Products
Models and compute, designed to work together.
Start with the gateway now. Follow one clear path as Neviri expands into compute, hosted inference, chat, and flexible capacity.
GPU Cloud
PlannedGPUs when you need them.
Infrastructure for training, fine-tuning, inference, and model deployment—designed around visible capacity and clear billing.
Pre-order GPU accessNeviri Chat
PlannedOne workspace. Your choice of model.
A familiar chat experience designed to make the responding model and its capabilities clear.
Preview the workspaceNeviri Inference
PlannedOpen models. Production APIs.
A managed path to use Neviri-hosted open models without operating the serving layer yourself.
Explore inferenceSpot GPU
PlannedFlexible compute. Lower cost.
Discounted, interruptible capacity for workloads that can checkpoint, retry, or wait for availability.
Understand SpotFor developers
Change the model,
not your application.
Use a familiar client shape against one Neviri endpoint. The model identifier is the decision point—not a new integration.
Unified API One account Usage visibility Metered credits
drop-in · openai sdk
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.ai.neviri.com/v1",
apiKey: process.env.NEVIRI_AI_KEY, // nvai_...
});
const res = await client.chat.completions.create({
model: "neviri/flagship-chat",
messages: [{ role: "user", content: "Hello, Neviri." }],
stream: true,
});GPU Cloud · Planned
Compute built for AI.
GPU infrastructure for training, fine-tuning, inference, and AI development—presented with the details teams need to plan responsibly.
Pre-trainingFine-tuningPost-trainingModel hostingPrivate inferenceCustom workloads
GPU catalogue
Capacity-backed at launchGPUVRAMRegionModeAvailability
GPU configurationOn-demandLive data
Memory profileOn-demandLive data
Deployment regionSpotLive data
Exact hardware, pricing, regions, and availability will come from current capacity—not static marketing copy.
POST /v1/chat
OpenAI-compatible request
ClaudeAnthropic
NovaAmazon
GPTOpenAI
PhiMicrosoft
MistralMistral AINeviri Inference · Planned
Production inference without managing GPUs.
Use eligible open-source models through simple APIs powered by Neviri infrastructure.
- No GPU provisioning
- No inference server to maintain
- Clear model identity and usage
Neviri Chat · Planned
One AI workspace. Your choice of model.
A familiar chat interface designed around explicit model selection, visible capabilities, and one connected Neviri account.
Models may differ in context, tools, modalities, and file support. The workspace will make those differences visible.
Explore modelsResponding model: selected-model
Message Neviri Chat…
Spot GPU · Planned
Flexible workload? Spend less on compute.
Spot will make available spare GPU capacity to workloads designed to tolerate interruption.
Batch inferenceExperimentsCheckpointed fine-tuningData processingEvaluations
Availability will not be guaranteed. Interruption, persistence, restart, and billing rules will be documented before launch.
Trust & clarity
Infrastructure decisions need visible rules.
Neviri will document data handling, operational state, usage boundaries, and commercial terms as capabilities launch.
Security
Controls and secret handling grounded in implemented behavior.
Data handling
Clear treatment of prompts, outputs, files, logs, and provider processing.
Service status
Operational state and incident history backed by monitoring.
Developer docs
Tested requests, errors, lifecycle guidance, and API reference.
Build on Neviri
One platform from API call to GPU cluster.
Start with model access today. Grow into the infrastructure your AI workload needs.