Open Models, Closed Environments: Palantir Brings Secure AI to US Agencies With NVIDIA Nemotron
First proof point — a defense-sector customer picks Nemotron over closed models for a secure-environment product.
AI Storyline
3 items · 2 sources · 3 days
Operational story trace
NVIDIA Nemotron
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Current stateExpanding · open ecosystem
Latest change
NVIDIA Nemotron 3 Embed ranks #1 overall on the Retrieval Embedding Benchmark (RTEB), extending the family's claims from LLM inference and agent orchestration into embeddings.
Earlier contextThe story so far
NVIDIA's open Nemotron family picked up its first defense-sector customer in June, when Palantir built a secure-environment product on Nemotron models for US government agencies. In July, NVIDIA paired the same family with LangChain's Deep Agents harness and claimed benchmark-leading agent performance at lower cost than closed models.
editor-curated · source-linked
State over time
● gov adoption · Jun 29retrieval benchmark #1 · Jul 16 → now ●
- gov adoption · Jun 29
- agent harness perf · Jul 8
- retrieval benchmark #1 · Jul 16 → now
ADOPTION · Jun 29Palantir builds a secure-environment product on Nemotron for US agencies1 source · show source ▾
PERFORMANCE · Jul 8LangChain tunes its Deep Agents harness specifically for Nemotron 3 Ultra1 source · show source ▾
NVIDIA Nemotron Achieves Benchmark-Leading Performance With LangChain Deep Agents Harness
LangChain tunes its widely used Deep Agents harness specifically for Nemotron, adding an agent-orchestration performance claim to the open-model pitch.
NOW · Jul 16Nemotron 3 Embed ranks #1 overall on RTEB1 source · watcher updated status · show source ▾
NVIDIA Nemotron 3 Embed Ranks #1 Overall on RTEB, Advancing Agentic Retrieval
A third Nemotron sub-model (Embed) tops a public retrieval benchmark, extending the family's credibility from LLM inference into embeddings.
Day 1 Monday, Jun 29, 2026
Open Models, Closed Environments: Palantir Brings Secure AI to US Agencies With NVIDIA Nemotron
First proof point — a defense-sector customer picks Nemotron over closed models for a secure-environment product.
Day 2 Wednesday, Jul 8, 2026
NVIDIA Nemotron Achieves Benchmark-Leading Performance With LangChain Deep Agents Harness
LangChain tunes its widely used Deep Agents harness specifically for Nemotron, adding an agent-orchestration performance claim to the open-model pitch.
Day 3 Thursday, Jul 16, 2026
NVIDIA Nemotron 3 Embed Ranks #1 Overall on RTEB, Advancing Agentic Retrieval
A third Nemotron sub-model (Embed) tops a public retrieval benchmark, extending the family's credibility from LLM inference into embeddings.
What to watch — open questions
- Do independent benchmarks (outside NVIDIA's and its partners' own posts) confirm the Deep Agents harness cost/performance claim?
- Does Palantir's Nemotron deployment expand to other agencies or stay a single showcase?
- How does Nemotron 3 Embed's RTEB rank hold up against incumbent embedding providers on your own retrieval corpus, not just the public leaderboard?
How this thread was built
editor wrote the arc · 3 beatswatcher 1 status change
Storylines are threaded mechanically from the feed: stories that share a distinctive anchor across multiple days and sources. Each item links to its original source. The evidence trace, current state, and open questions are written by the editor routine and refreshed whenever a new beat lands.