NVIDIA Nemotron-4 340B
CurrentNVIDIA Nemotron-4 340B is a large open-weights model suite aimed at enterprise and research users who train and serve on NVIDIA stacks (NeMo, NGC).
Best for:Private cloud LLM platformsCost tier:Open / entry
Compared to:—Replaces:—
Open weights LLM · Release — · NVIDIA license (see NGC)
open-weightsenterprisegpu
Updated 1 day ago · Verified Apr 2026 · Score 78
Decision summary
Why teams reach for it, where it fits, and what to watch for — before you dive into specs.
Why teams choose it
- Best when NeMo and NVIDIA inference stacks are already standardized.
- 340B-scale serving is a major infrastructure commitment.
Best use cases
- Use this when private cloud LLM platforms
- Use this when research labs with DGX fleets
Tradeoffs
- Not a managed chat API—ops burden is on you.
- Competitive with other open giants—benchmark before committing hardware.
Technical details
Modalities, benchmarks, and release context.
Modalities
What goes in and what comes out.
- Inputs
- text
- Outputs
- text
- Capabilities
- reasoning, enterprise, gpu-optimized
Release: —·License: NVIDIA license (see NGC)
Benchmarks snapshot
Structured JSON for reproducible comparisons.
No benchmark data yet — see comparisons for relative performance.
Continue exploring
A short set of comparisons, nearby models, and links to go deeper — without repeating the same paths.
Compare with
Related models
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Learn & build
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