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NVIDIA: Llama Nemotron Embed VL 1B V2 (free)

NVIDIA: Llama Nemotron Embed VL 1B V2 (free) is a cost-efficient model with standard context support, suited to semantic retrieval and enterprise search for enterprise teams.

Try NVIDIA: Llama Nemotron Embed VL 1B V2 (free) with your team

Last reviewed: 2026-06-09

NVIDIA: Llama Nemotron Embed VL 1B V2 (free)

Nvidia

Stable
Context Window
131,072
Input / 1M
$0.00
Output / 1M
$0.00

Watch NVIDIA: Llama Nemotron Embed VL 1B V2 (free) in Remova

See how a team selects NVIDIA: Llama Nemotron Embed VL 1B V2 (free), passes policy checks, and routes the request safely through Remova.

Use NVIDIA: Llama Nemotron Embed VL 1B V2 (free) Safely on Remova

Model demo

A 36-second overview showing how teams can select NVIDIA: Llama Nemotron Embed VL 1B V2 (free) inside Remova, pass policy checks, apply it to real-world work, and use advanced AI with redaction, routing, budgets, and audit trails.

Video transcript

NVIDIA: Llama Nemotron Embed VL 1B V2 (free) for enterprise AI. Remova routes model access, long-context analysis, and assistant workflows through governance controls. In the Remova interface, a user selects NVIDIA: Llama Nemotron Embed VL 1B V2 (free), passes sensitive data redaction, budget threshold, and role access checks, then runs the request safely. Teams can use NVIDIA: Llama Nemotron Embed VL 1B V2 (free) for improve enterprise search, power semantic retrieval, deduplicate knowledge assets, route support requests, rank compliance evidence, measure content similarity. Use NVIDIA: Llama Nemotron Embed VL 1B V2 (free) safely on Remova with redaction, routing, budgets, and audit trails built in. Sign up now.

What can you do with NVIDIA: Llama Nemotron Embed VL 1B V2 (free)?

Practical ways teams can use NVIDIA: Llama Nemotron Embed VL 1B V2 (free) inside governed AI workflows.

01

Improve enterprise search with NVIDIA: Llama Nemotron Embed VL 1B V2 (free)

Rank documents, answers, and knowledge-base results so teams find the right information faster with NVIDIA: Llama Nemotron Embed VL 1B V2 (free).

02

Power semantic retrieval with NVIDIA: Llama Nemotron Embed VL 1B V2 (free)

Match user questions to relevant policies, product docs, tickets, and internal references with NVIDIA: Llama Nemotron Embed VL 1B V2 (free).

03

Deduplicate knowledge assets with NVIDIA: Llama Nemotron Embed VL 1B V2 (free)

Cluster related content, similar records, and overlapping documents for cleaner operations with NVIDIA: Llama Nemotron Embed VL 1B V2 (free).

04

Route support requests with NVIDIA: Llama Nemotron Embed VL 1B V2 (free)

Classify incoming questions and connect them with the most relevant internal resources with NVIDIA: Llama Nemotron Embed VL 1B V2 (free).

05

Rank compliance evidence with NVIDIA: Llama Nemotron Embed VL 1B V2 (free)

Surface the most relevant policies, logs, and documents during audits and reviews with NVIDIA: Llama Nemotron Embed VL 1B V2 (free).

06

Measure content similarity with NVIDIA: Llama Nemotron Embed VL 1B V2 (free)

Compare records, tickets, snippets, and documents for matching or recommendation workflows with NVIDIA: Llama Nemotron Embed VL 1B V2 (free).

Why this model

NVIDIA: Llama Nemotron Embed VL 1B V2 (free) is available in Remova as a standard context option with $0.00 per 1M tokens input pricing, $0.00 per 1M tokens output pricing, and text+image->embeddings modality support for enterprise AI operations.

  • NVIDIA: Llama Nemotron Embed VL 1B V2 (free) offers standard context capacity for enterprise prompts and documents.
  • Current Remova pricing band is cost-efficient: $0.00 per 1M tokens input and $0.00 per 1M tokens output.
  • Best-fit workloads include: Semantic retrieval, Enterprise search, Knowledge indexing.
  • Keep audit logs enabled for high-impact use cases.

At a glance

Model ID
nvidia/llama-nemotron-embed-vl-1b-v2:free
Context Window
131,072 tokens
Modality
text+image->embeddings
Input Modalities
text, image
Output Modalities
embeddings
Input Price
$0.00 per 1M tokens
Output Price
$0.00 per 1M tokens
Provider
Nvidia
Listing Date
2026-02-25

Strengths

  • NVIDIA: Llama Nemotron Embed VL 1B V2 (free) is suited for semantic retrieval.
  • Supports standard context for multi-step prompts and larger working sets.
  • Pricing profile is cost-efficient, enabling predictable workload routing decisions.
  • Can be paired with policy guardrails for safer deployment at scale.

Tradeoffs

  • Prompt standards are still needed to keep output quality consistent across teams.
  • Standard context limits may require chunking or retrieval strategies for large documents.
  • Low-cost tiers can still underperform on high-consequence decisions without escalation paths.
  • Embedding and retrieval systems need benchmark sets to catch ranking drift and stale indexes.

Best for

  • NVIDIA: Llama Nemotron Embed VL 1B V2 (free) for semantic retrieval, ranking, and enterprise search workflows.
  • NVIDIA: Llama Nemotron Embed VL 1B V2 (free) for enterprise search across policies, product docs, and support knowledge bases.
  • NVIDIA: Llama Nemotron Embed VL 1B V2 (free) for indexing internal knowledge assets into searchable vector workflows.
  • NVIDIA: Llama Nemotron Embed VL 1B V2 (free) for surfacing compliance evidence and related records during audits.

Rollout checklist

  • Define where NVIDIA: Llama Nemotron Embed VL 1B V2 (free) is default vs. fallback in your routing policy.
  • Enable role-based access and policy checks before opening access broadly.
  • Set spend guardrails by team and monitor weekly token consumption.
  • Start with approved teams, then expand in controlled waves.
  • Re-run quality and cost benchmarks monthly as newer releases appear.

Related models

Explore adjacent model profiles for routing and benchmarking decisions.

Free Resource

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Tuning notes

max_tokens

Set completion limits to avoid unpredictable long-output spend.

seed

Use this parameter only with tested defaults in production workflows.

temperature

Lower temperature for deterministic policy and compliance tasks.

top_p

Use tighter sampling for stable outputs in repeatable operations.

Free Assessment

What Could Go Wrong?

5 questions about how your company uses AI today. We'll show you the risks most companies miss until it's too late.

You get

A risk breakdown with the 3 things you should fix first.

Book demo
Knowledge Hub

NVIDIA: Llama Nemotron Embed VL 1B V2 (free) FAQs

Choose NVIDIA: Llama Nemotron Embed VL 1B V2 (free) when the workload aligns with semantic retrieval, enterprise search, knowledge indexing and quality targets justify its pricing profile.
It depends on workload mix. Most organizations use routing policies so routine traffic stays on lower-cost tiers.
Validate quality on real internal prompts, token efficiency, latency, and policy compliance behavior.

Deploy This Model With Governance

Use policy controls, role-based access, and budget guardrails before enabling advanced model tiers at scale.

Try NVIDIA: Llama Nemotron Embed VL 1B V2 (free) with your team