NVIDIA Nemotron-4 340B
NVIDIA 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).
Provider
NVIDIA
Model family
NVIDIA Nemotron
Open weights LLM
Cost tier
340b
Status
Current
Why teams choose it
Complex reasoning
Useful for workflows that require structured thinking, multi-step logic, and deeper analysis than lightweight models provide.
Long-context analysis
Helps teams summarize, compare, and extract insights from long documents without losing important nuance.
NVIDIA roadmap vigilance
Use published model pages—not stale marketing blurbs—for modalities, quotas, pricing, and policy; schedule revalidation tied to vendor release notes.
Cost-efficient routing
Useful as part of a routing stack where cheap models handle drafts and confirmations and this tier handles genuinely hard passages.
Tradeoffs to know
- Not a managed chat API—ops burden is on you.
- Competitive with other open giants—benchmark before committing hardware.
When not to use this
- Self-hosting outcomes depend on hardware, quantization, and ops maturity—budget time beyond swapping an API hostname.
- May demand more instrumentation than SaaS-managed APIs to duplicate latency, failover, and support guarantees.
- Benchmark prompts and regressions continuously before rewriting entire routing tables around weights.
Technical specs
- Inputs
- text
- Outputs
- text
- Capabilities
- reasoning, enterprise, gpu-optimized
- License
- NVIDIA license (see NGC)
- Model string
nvidia-nemotron-4-340b
Benchmarks
No benchmark data yet.
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