
NVIDIA ยท Chat / LLM ยท 7B Parameters ยท 16K Context

Streaming Reasoning Agent Workflows Tool Orchestration Structured OutputOverview
NVIDIA Orchestrator 8B is purpose-built for agent workflows and complex task sequencing. Unlike general-purpose LLMs, it excels specifically in planning, structured reasoning, autonomous execution, and coordinating multiple tools or APIs. Trained on orchestration datasets, workflow sequences, and enterprise task simulations โ and enhanced with TensorRT-LLM optimization โ it delivers superior throughput and low latency in enterprise automation scenarios. Served instantly via the Qubrid AI Serverless API.๐ค Built for agents, not chat. Plan, sequence, orchestrate โ at scale. Deploy on Qubrid AI โ no GPU setup, no infrastructure overhead.
Model Specifications
| Field | Details |
|---|---|
| Model ID | nvidia/Orchestrator-8B |
| Provider | NVIDIA |
| Kind | Chat / LLM |
| Architecture | Optimized Transformer (TensorRT-LLM enhanced) |
| Parameters | 7B |
| Context Length | 16,384 Tokens |
| MoE | No |
| Release Date | 2025 |
| License | NVIDIA Open Model License |
| Training Data | Orchestration datasets, workflow sequences, tool-use datasets, enterprise task simulations |
| Function Calling | Not Supported |
| Image Support | N/A |
| Serverless API | Available |
| Fine-tuning | Coming Soon |
| On-demand | Coming Soon |
| State | ๐ข Ready |
Pricing
๐ณ Access via the Qubrid AI Serverless API with pay-per-token pricing. No infrastructure management required.
| Token Type | Price per 1M Tokens |
|---|---|
| Input Tokens | $0.21 |
| Output Tokens | $0.25 |
Quickstart
Prerequisites
- Create a free account at platform.qubrid.com
- Generate your API key from the API Keys section
- Replace
QUBRID_API_KEYin the code below with your actual key
๐ก Temperature note: Lower values (0.4 default) are recommended for deterministic task execution and structured outputs. Avoid high temperature values for agentic workloads.
Python
JavaScript
Go
cURL
Live Example
Prompt: You are an enterprise automation agent. A user wants to file an IT support ticket, check its status, and escalate if unresolved after 48 hours. Plan the steps.
Response:
Playground Features
The Qubrid AI Playground lets you interact with NVIDIA Orchestrator 8B directly in your browser โ no setup, no code, no cost to explore.๐ง System Prompt
Define the agentโs role, available tools, and execution constraints before the conversation begins. This is where Orchestrator 8B truly shines โ a well-crafted system prompt turns it into a fully scoped automation agent.Set your system prompt once in the Qubrid Playground and it applies across every turn of the conversation.
๐ฏ Few-Shot Examples
Prime the model with example task sequences to establish your expected planning format and tool-calling style โ no fine-tuning, no retraining required.| User Input | Assistant Response |
|---|---|
Extract all invoice totals from this JSON and return a sum | Step 1: Parse JSON โ extract all "total" fields. Step 2: Sum values. Step 3: Return { "invoice_count": N, "total_sum": X, "currency": "USD" } |
Check if an API endpoint is healthy and retry 3 times on failure | Step 1: GET /health โ IF 200 return OK. Step 2: ON failure wait 2s โ retry. Step 3: After 3 failures โ alert_ops() and return { "status": "degraded" } |
๐ก Few-shot examples are especially powerful for Orchestrator 8B โ they establish the planning grammar and output schema the model should follow across all subsequent tasks.
Inference Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
| Streaming | boolean | true | Enable streaming responses for real-time output |
| Temperature | number | 0.4 | Controls creativity and randomness. Lower values recommended for deterministic task execution |
| Max Tokens | number | 4096 | Maximum number of tokens the model can generate |
| Top P | number | 1 | Controls nucleus sampling for more predictable output |
Use Cases
- AI agents for enterprise automation
- Tool and API orchestration
- RAG and workflow pipelines
- Long-context reasoning
- DevOps automation and observability agents
- Data extraction and structured decision making
Strengths & Limitations
| Strengths | Limitations |
|---|---|
| Highly optimized for NVIDIA GPU inference | Requires GPU acceleration for optimal performance |
| Superior multi-step reasoning and tool orchestration | Not intended for creative writing or open-ended generation |
| Supports structured outputs for automation pipelines | Performance depends on system-level optimization (TensorRT-LLM recommended) |
| Ideal for building agents that interact with APIs, databases, and tools | Function calling not supported via API |
Why Qubrid AI?
- ๐ No infrastructure setup โ serverless API, pay only for what you use
- ๐ OpenAI-compatible โ drop-in replacement using the same SDK, just swap the base URL
- ๐ค Agent-ready infrastructure โ Orchestrator 8Bโs structured output strength pairs perfectly with Qubridโs low-latency serving
- ๐งช Built-in Playground โ prototype agent workflows with system prompts and few-shot examples instantly at platform.qubrid.com
- ๐ Full observability โ API logs and usage tracking built into the Qubrid dashboard
- ๐ Multi-language support โ Python, JavaScript, Go, cURL out of the box
Resources
| Resource | Link |
|---|---|
| ๐ Qubrid Docs | docs.platform.qubrid.com |
| ๐ฎ Playground | Try Orchestrator 8B live |
| ๐ API Keys | Get your API Key |
| ๐ค Hugging Face | nvidia/Orchestrator-8B |
| ๐ฌ Discord | Join the Qubrid Community |
Built with โค๏ธ by Qubrid AI
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