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Vinkius

SambaNova (AI Inference) Connector for AI agents.

3 live capabilities

Run Llama 3 and DeepSeek models with high-speed inference for production apps.

Live agent request SambaNova (AI Inference) / Connector

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Why people use SambaNova (AI Inference)

SambaNova (AI Inference) for High-Speed LLM Inference

With this Connector, that waiting period disappears. You get a direct line to SambaNova's SN40L chips, which are built to move tokens at record speeds. It handles the heavy lifting of running Llama 3.3 and DeepSeek, so your agent responds instantly. You get real-time performance without the usual bottlenecks.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get high-speed inference from top models without the typical overhead of standard providers.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

  1. Real-world use case 01

    Real-time customer support

    An agent uses create_chat_completion to provide instant answers to users without lag.

  2. Real-world use case 02

    RAG System Building

    A developer uses create_embedding to index a massive library of technical manuals into a vector database.

  3. Real-world use case 03

    Agentic Workflows

    A system uses create_response to parse complex instructions into structured JSON for downstream tasks.

Complete set · 3capabilities

The complete SambaNova (AI Inference) capability set.

These are the exact actions your AI can choose when you ask it to work with SambaNova (AI Inference).

Capability set01 / 01

01—03

3 capabilities in this set.

Part of 3 available through SambaNova (AI Inference).

  1. 01 Capability

    Create chat completion

    Create a chat completion using SambaNova models. This capability works with the OpenAI Chat Completions API format for easy integration.

  2. 02 Capability

    Create embedding

    Create embeddings using SambaNova. It works on SambaStack to turn text into vectors for your search database.

  3. 03 Capability

    Create response

    Create a response using SambaNova Responses API. This capability returns typed output items specifically for agentic workflows.

Set up in minutes

One URL. Then ask SambaNova (AI Inference) to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use SambaNova (AI Inference) from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_z52tsMdkFaoCTCBeg6u7bbxNhhnjcT0r5KXU6hjj/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it SambaNova (AI Inference), and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable SambaNova (AI Inference) for the conversation.

Where the request belongs

Work SambaNova can move forward.

Built around the request

This is for the AI engineer who's tired of high latency killing their production app or the data scientist who needs to process millions of embeddings without waiting all day.

01

AI Engineer

Building real-time apps that need low-latency inference and high throughput.

02

Backend Developer

Looking for a cost-effective, fast alternative to standard LLM providers for production.

03

Data Scientist

Generating embeddings for large-scale knowledge bases at scale.

Build the capability set

Add more capabilities.

Each Connector adds new actions and data without changing how you work.

Browse Connectors
Groq logo
01 10 capabilities

Groq

Run large language models at unprecedented speed with custom LPU hardware that delivers real-time AI inference at massive scale.

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DeepInfra (Serverless LLM Inference) logo
02 4 capabilities

DeepInfra (Serverless LLM Inference)

Run top-tier LLMs, image generation, and embeddings via DeepInfra's serverless infrastructure directly from your AI agent.

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NVIDIA AI logo
03 9 capabilities

NVIDIA AI

Access LLMs, embeddings, code generation, and reasoning via NVIDIA API Catalog.

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Cerebras Inference logo
04 15 capabilities

Cerebras Inference

Access lightning-fast AI inference via Cerebras Wafer-Scale Engine. generate chat completions, manage models, and run batch jobs at record speeds.

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Together AI logo
05 7 capabilities

Together AI

Generate code, evaluate embeddings, and deploy open-source LLMs instantly from your local agent via Together AI's infrastructure.

View Connector
Mistral AI (Frontier LLMs & Embeddings) logo
06 7 capabilities

Mistral AI (Frontier LLMs & Embeddings)

Manage AI inference via Mistral. execute chat completions, generate RAG embeddings, and audit frontier models.

View Connector

Bring your own AI

Change the model, client or framework. Keep SambaNova connected.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • VS Code
  • Windsurf
  • ZCode
  • Cline
  • Zed
  • Continue
  • Kiro
  • Roo Code
  • Zencoder
  • Goose
  • Void
  • Augment Code
  • Amp
  • Qodo
  • Tabnine
  • Pieces
  • Sourcegraph Cody
  • JetBrains
  • Warp
  • Amazon Q
  • Antigravity
  • BoltAI
  • Raycast
  • Jan
  • LM Studio
  • AnythingLLM
  • Open WebUI
  • Msty
  • Cherry Studio
  • LibreChat
  • TypingMind
  • Chorus
  • 5ire
  • n8n
  • LangChain
  • LlamaIndex
  • CrewAI
  • Vercel AI SDK

Before you connect

Questions about SambaNova.

The practical details behind the request, access and result.

What models can I run with SambaNova (AI Inference)?

You can run top-tier open-source models including Meta-Llama-3.3-70B-Instruct and DeepSeek-V3.1. This gives you high-performance options for various tasks.

Is SambaNova (AI Inference) fast enough for real-time apps?

Yes, it's built on SN40L chips designed for record-breaking tokens-per-second. It's a great choice for low-latency requirements.

Can I use SambaNova (AI Inference) for my RAG system?

Definitely. You can use the embedding capability to turn your documents into high-dimensional vectors quickly for your knowledge base.

Does SambaNova (AI Inference) support structured outputs?

Yes, it features a specific capability for typed outputs. This is perfect for building agents that need to return specific data formats.

How do I connect SambaNova (AI Inference) to my AI client?

Just subscribe to the Connector and add your SambaNova Cloud API key to your client. It works with Claude, Cursor, and others.

Is this Connector better than standard LLM providers?

It depends on your needs. If you need high-speed inference on open-source models and lower latency, it's a strong choice.

Which models are available for chat completions?

You can use create_chat_completion with models like Meta-Llama-3.3-70B-Instruct, DeepSeek-V3.1, and MiniMax-M2.5 for high-speed text generation.

Can I generate embeddings for my RAG pipeline?

Yes! Use the create_embedding capability with models like E5-Mistral-7B-Instruct to create vectorized representations of your text data.

What is the difference between create_chat_completion and create_response?

create_chat_completion follows the standard OpenAI chat format, while create_response is a stateless API designed specifically for agentic workflows, returning typed output items.

One connection away

Give your agent a direct line to SambaNova.

Connect SambaNova once. Keep it beside 5,900+ managed Connectors when the next task needs more.

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