Models › NVIDIA family

NVIDIA-Nemotron-Nano-9B-v2

nvidia NVIDIA Open Model License (nvidia-open-model-license) out 14 months ago

8.89B parameters, text in, text out, 128K tokens of context.

Verified 2026-10-25 Rank #232 in LLMs · score 86.9 method v1 Sources 3 Downloads 30d 213.1k · #246 of 619 tracked

Changed this week: 2 new quantized builds on the Hub (22 in all).2026-10-24

Can I run it?5.3GB at INT4Estimatefits a 16 GB cardmethod
Can I use it?NVIDIA Open Model License (nvidia-open-model-license)Attribution requiredlicence file2026-10-24
Do people use it?213.1kdownloads, 30 days#246 of 619 we track · top 40%+0 likes, downloads −21% this week529 likesHugging Face2026-10-24

Worth reading

Picked by rule from 37 tracked pieces: the lab's own post, the most shared, a field report, the latest.

Most discussed · 1,988 HN pts

Nvidia agrees to acquire Hugging Face for $13B

Nvidia is in talks to acquire Hugging Face for more than $13 billion, a potential deal valued higher than its previous $7 billion offer rejected by the platform.

  • Hugging Face previously rejected a $500 million Nvidia investment offer to avoid a dominant investor.
  • Nvidia participated in Hugging Face's 2023 funding round that valued the company at $4.5 billion.
businessinsider.com 2026-08-27 1,988 HN pts · 925 comments 615 words about the NVIDIA family family
Latest · 27 days ago

Owed a billion dollars in Nvidia stock

Eric Gullichsen, an early NVIDIA advisor whose biquadratic texture mapping differentiated the NV1, discovered he is owed approximately a billion dollars in NVDA stock.

colo.to 2026-09-28 1,091 HN pts · 458 comments 770 words about the NVIDIA family family

25 best of 37 tracked

The 2 picks above, plus these 23. Top is the radar's score: discussion, source authority and the lab's own posts, fading with age.

  1. ArticleNvidia announces native GPU programming in Rustdeveloper.nvidia.com · 2026-09-16 · 970 HN pts · official
  2. ArticleOpenAI Jalapeño: Better than Nvidia Blackwellnewsletter.semianalysis.com · 2026-08-25 · 584 HN pts
  3. ArticleNvidia is the central bank of AIeconomist.com · 2026-09-12 · 584 HN pts
  4. ArticleNvidia, Microsoft, Meta warn against overregulating open-weight modelscnbc.com · 2026-07-24 · 659 HN pts
  5. ArticleNvidia releases open-source GPU kernel modulesdeveloper.nvidia.com · 2022-05-11 · 2,410 HN pts · official
  6. ArticleNVIDIA Transitions Fully Towards Open-Source Linux GPU Kernel Modulesdeveloper.nvidia.com · 2024-07-17 · 881 HN pts · official
  7. ArticleNvidia to Acquire Arm for $40Bnvidianews.nvidia.com · 2020-09-13 · 2,122 HN pts · official
  8. ArticleNvidia Unveils GeForce RTX 30 Series GPUsblogs.nvidia.com · 2020-09-01 · 856 HN pts · official
  9. ArticleApple is fighting for TSMC capacity as Nvidia takes center stageculpium.com · 2026-01-15
  10. CodeHacked Nvidia 4090 GPU driver to enable P2Pgithub.com · 2024-04-12
  11. ArticleNvidia is reportedly in ‘advanced talks’ to buy ARM for more than $32Bbloomberg.com · 2020-07-31
  12. ArticleNvidia Canvasnvidia.com · 2021-06-25 · official
  13. ArticleNvidia buys $5B in Inteltomshardware.com · 2025-09-18
  14. ArticleNvidia won, we all lostblog.sebin-nyshkim.net · 2025-07-04
  15. ArticleCybercriminals who breached Nvidia issue one of the most unusual demands everarstechnica.com · 2022-03-04
  16. Article“Amateur” programmer fought cancer with 50 Nvidia Geforce 1080Tihowardchen.substack.com · 2022-05-20
  17. ArticleNvidia cripples cryptocurrency mining on RTX 3080 and 3070 cardsbleepingcomputer.com · 2021-05-18
  18. ArticleUS Government Bans Export of Nvidia A100 and H100 GPUs to China and Russiasec.gov · 2022-08-31
  19. CodeLibreCUDA – Launch CUDA code on Nvidia GPUs without the proprietary runtimegithub.com · 2024-08-08
  20. ArticleNvidia prepares to abandon $40B Arm bidbloomberg.com · 2022-01-25
  21. ArticleTSMC to make 4nm chips in Arizona for Apple, AMD, Nvidiatechmonitor.ai · 2022-12-01
  22. VideoEVGA terminates Nvidia partnership [video]youtube.com · 2022-09-16
  23. ArticleThe impact of competition and DeepSeek on Nvidiayoutubetranscriptoptimizer.com · 2025-01-25

Where it's used

Hugging Face does not say who downloads a model or with what. These are the proxies: API providers listing it, quantized builds, fine-tunes/adapters/merges, and Spaces that load it.

No API provider serves it, so its downloads are people running it themselves: 22 quantized builds and 32 Spaces.

  • As a service0no API provider listed
  • On own hardware22quantized builds
  • Built on3030 fine-tunes · 0 adapters · 0 merges
  • In apps32Hugging Face Spaces

Top Spaces running it: build-small-hackathon/KnowledgeMesh ♥ 55 · akhaliq/NVIDIA-Nemotron-Nano-9B-v2 ♥ 5 · build-small-hackathon/nemocity ♥ 5 · build-small-hackathon/ancient-tamil-wisdom-in-25-languages ♥ 2

Will it fit?

Weights only, an estimate: leave room for the KV cache. Method

Fits a 16 GB card at INT4

About 5.3 GB at INT4, 11 GB at FP8, 21 GB at BF16: weights only, so leave room for the KV cache.

16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 5.3 GB of weights (estimate; KV cache and activations extra)INT45.3 GBFP8: about 11 GB of weights (estimate; KV cache and activations extra)FP811 GBBF16: about 21 GB of weights (estimate; KV cache and activations extra)BF1621 GB
16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 5.3 GB of weights (estimate; KV cache and activations extra)INT45.3 GBFP8: about 11 GB of weights (estimate; KV cache and activations extra)FP811 GBBF16: about 21 GB of weights (estimate; KV cache and activations extra)BF1621 GB

Estimate params × bytes per param × 1.2 · how we estimate

The story so far

Weights, every dated article, and repo commits on one rail.

10 dated articles and 30 repo commits so far

Teal is the weights (2025-08-12), amber triangles are 10 dated articles (each links to it), grey ticks are repo commits.

OctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOct2026-03-05: 1 repo commit2026-01-08: 1 repo commit2025-12-05: 1 repo commit2025-11-25: 1 repo commit2025-11-19: 1 repo commit2025-11-10: 1 repo commit2025-11-04: 1 repo commit2025-10-15: 1 repo commit2025-10-09: 1 repo commit2025-10-02: 1 repo commit2025-08-30: 1 repo commit2025-08-27: 1 repo commit2025-08-26: 2 repo commits2025-08-25: 1 repo commit2025-08-21: 4 repo commits2025-08-20: 2 repo commits2025-08-19: 2 repo commits2025-08-18: 7 repo commitsNvidia announces native GPU programming in Rust · 2026-09-16Owed a billion dollars in Nvidia stock · 2026-09-28OpenAI Jalapeño: Better than Nvidia Blackwell · 2026-08-25Nvidia agrees to acquire Hugging Face for $13B · 2026-08-27Nvidia is the central bank of AI · 2026-09-12Nvidia, Microsoft, Meta warn against overregulating open-weight models · 2026-07-24Nvidia releases open-source GPU kernel modules · 2022-05-11NVIDIA Transitions Fully Towards Open-Source Linux GPU Kernel Modules · 2024-07-17Nvidia to Acquire Arm for $40B · 2020-09-13Nvidia Unveils GeForce RTX 30 Series GPUs · 2020-09-01Weights 2025-08-12 · 2025-08-12Weights 2025-08-12now
OctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOct2026-03-05: 1 repo commit2026-01-08: 1 repo commit2025-12-05: 1 repo commit2025-11-25: 1 repo commit2025-11-19: 1 repo commit2025-11-10: 1 repo commit2025-11-04: 1 repo commit2025-10-15: 1 repo commit2025-10-09: 1 repo commit2025-10-02: 1 repo commit2025-08-30: 1 repo commit2025-08-27: 1 repo commit2025-08-26: 2 repo commits2025-08-25: 1 repo commit2025-08-21: 4 repo commits2025-08-20: 2 repo commits2025-08-19: 2 repo commits2025-08-18: 7 repo commitsNvidia announces native GPU programming in Rust · 2026-09-16Owed a billion dollars in Nvidia stock · 2026-09-28OpenAI Jalapeño: Better than Nvidia Blackwell · 2026-08-25Nvidia agrees to acquire Hugging Face for $13B · 2026-08-27Nvidia is the central bank of AI · 2026-09-12Nvidia, Microsoft, Meta warn against overregulating open-weight models · 2026-07-24Nvidia releases open-source GPU kernel modules · 2022-05-11NVIDIA Transitions Fully Towards Open-Source Linux GPU Kernel Modules · 2024-07-17Nvidia to Acquire Arm for $40B · 2020-09-13Nvidia Unveils GeForce RTX 30 Series GPUs · 2020-09-01Weights 2025-08-12 · 2025-08-12Weights 2025-08-12now

What people built on it

52 derivatives on the Hub. Which build to run, by runtime: the most downloaded in each class.

52 derivatives on the Hub, most of them fine-tunes

From the Hugging Face model tree; quantized builds in teal, fine-tunes, merges and adapters in greys.

22 quantized (Hugging Face model tree)30 fine-tunes (Hugging Face model tree)22 quantized30 fine-tunes
22 quantized (Hugging Face model tree)30 fine-tunes (Hugging Face model tree)22 quantized30 fine-tunes

All variants →

Reference

Everything else, folded: the full tables, every source.

Benchmarks

8 rows

Benchmarks 8 rows

measured third-party leaderboard rowauthor-reported number from the model card or eval files (8)No confidence intervals unless the source gave them; settings differ between rows, so compare within a benchmark, not across. Date = the benchmark's own date when it gives one, else when we read it.
BenchmarkValueSetting / notesReported byDate
author-reported AIME 2025 · Reason through hard problems72.1% percentReasoning Onmodel author2026-10-07
author-reported BFCL · Call tools and APIs66.9% percentReasoning Onmodel author2026-10-07
author-reported GPQA Diamond · Reason through hard problems64.0% percentReasoning Onmodel author2026-10-07
author-reported Humanity's Last Exam · Reason through hard problems6.5% percentReasoning Onmodel author2026-10-07
author-reported IFEval · Chat and follow instructions90.3% percentReasoning Onmodel author2026-10-07
author-reported LiveCodeBench · Write code with agents71.1% percentReasoning Onmodel author2026-10-07
author-reported MATH-500 · Reason through hard problems97.8% percentReasoning Onmodel author2026-10-07
author-reported RULER · Read long documents78.9% percentReasoning Offmodel author2026-10-07

What the card says

3 cited sentences

Summary generated, cited

NVIDIA-Nemotron-Nano-9B-v2 is an 8.89B parameter large language model designed for reasoning and non-reasoning tasks.[1][2] The model uses a hybrid architecture consisting primarily of Mamba-2 and MLP layers combined with four Attention layers.[3] It is released under the NVIDIA Open Model License and supports English, German, Spanish, French, Italian, and Japanese.[4][5]

  1. parameters human
  2. “designed as a unified model for both reasoning and non-re…”
  3. “hybrid architecture consisting primarily of Mamba-2 and M…”
  4. license
  5. “The supported languages include: English, German, Spanish…”

Generated 2026-10-07 15:03 UTC by parasail-gemma-4-26b-a4b-it; each numeral points at the fact it rests on. Not a verdict.

Use-case evidence

6 use cases

What it is good at 6 use cases

Labels are evidence, not verdicts: measured a third-party leaderboard row for this model; author-reported a number the model author published in the card or eval files; structural a deterministic signal from the name, config or chat template, or a decision-model estimate. Each chip links to its source. All use cases.

Facts

22 fields

Listed in LLMs

Facts

Pipeline tagtext-generation
Librarytransformers
ArchitecturesNemotronHForCausalLM
Model typenemotron_h
Dtypebfloat16
Params by dtypeBF16: 8,888,227,328
Size bandM
MoEno
Context length131,072 (config.json max_position_embeddings)
Languagesen, es, fr, de, it, ja
PapersarXiv:2504.03624, arXiv:2508.14444, arXiv:2412.02595
LicenseNVIDIA Open Model License (nvidia-open-model-license) (other)
Hub snapshot2026-10-25

Servability

vLLM · SGLang

Servability

vLLM: supported · NemotronHForCausalLM · 7050ef881ff0835f6890a47db1859a24c65481d6SGLang: supported · NemotronHForCausalLM · 773cb938fe9484a8f7e7e46fb1b1fe96412c59ed

vLLM registry (7050ef881ff0835f6890a47db1859a24c65481d6) · SGLang registry (773cb938fe9484a8f7e7e46fb1b1fe96412c59ed) · Matched by architecture class name against each project's registry on main; 'supported' means the architecture is registered, not that this checkpoint was tested.

Hardware fit

3 estimates

Hardware fit ESTIMATE

Weights-only memory for NVIDIA-Nemotron-Nano-9B-v2: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.

BF16 (2 bytes/param)21 GB · Single GPU (<24 GB)
FP8 (1 byte/param)11 GB · Single GPU (<24 GB)
INT4 (0.5 bytes/param)5.3 GB · Single GPU (<24 GB)

Weights only (params × bytes/param × 1.2 overhead); KV cache and activations extra.

All variants

40 variants

Lineage

Fine-tuned from nvidia/NVIDIA-Nemotron-Nano-12B-v2 (same organization) Family: nvidia/NVIDIA 52 derivatives on the Hub

Base model: nvidia/NVIDIA-Nemotron-Nano-12B-v2

finetune: 30quantized: 22

Top variants (40 shown, ranked by downloads)

Relation
Quant
Size
40 rows
Variant Relation Quant Params Band License Author Likes Downloads
nvidia/NVIDIA-Nemotron-3-Nano-4B-BF16 finetune -BF16 3.97B M other nvidia 140 9.9M
nvidia/NVIDIA-Nemotron-Nano-9B-v2-FP8 finetune -FP8 8.89B M other nvidia 14 1.4M
nvidia/NVIDIA-Nemotron-Nano-9B-v2-Japanese finetune — 8.89B M other nvidia 146 1.1M
nvidia/NVIDIA-Nemotron-Nano-9B-v2-NVFP4 finetune NVFP4 5.86B M other nvidia 29 190.1k
bartowski/nvidia_NVIDIA-Nemotron-Nano-9B-v2-GGUF quantized GGUF — — — bartowski 37 103.6k
nvidia/NVIDIA-NemotronLabs-VoiceChat-11B finetune — 11.1B L openmdw-1.1 nvidia 545 11.6k
dominguesm/NVIDIA-Nemotron-Nano-9B-v2-GGUF quantized GGUF — — other dominguesm 2 14.1k
empero-ai/openNemo-9B finetune — 8.89B M other empero-ai 12 8.7k
cyankiwi/NVIDIA-Nemotron-Nano-9B-v2-AWQ-4bit quantized AWQ 2.38B M other cyankiwi 3 8.2k
weathermanj/NVIDIA-Nemotron-Nano-9B-v2-gguf quantized gguf — — other weathermanj 1 7.4k
mlx-community/NVIDIA-Nemotron-Nano-9B-v2-4bits finetune -4bit 1.39B S other mlx-community 4 6.7k
tatsuyaaaaaaa/NVIDIA-Nemotron-Nano-9B-v2-gguf quantized gguf — — — tatsuyaaaaaaa 0 6.8k
second-state/NVIDIA-Nemotron-Nano-9B-v2-GGUF quantized GGUF — — other second-state 2 4.5k
Lauarvik/NVIDIA-Nemotron-Nano-9B-v2-GGUF quantized GGUF — — — Lauarvik 3 4.1k
eaddario/IQ2_NL-IQ3_NL-Test-Models quantized GGUF — — mit eaddario 1 4.1k
vg1024/NVIDIA-Nemotron-Nano-9B-v2-Japanese finetune — 8.89B M other vg1024 0 4k
MaziyarPanahi/NVIDIA-Nemotron-Nano-9B-v2-GGUF quantized GGUF — — — MaziyarPanahi 3 3.7k
hirundo-io/NVIDIA-Nemotron-3-Nano-4B-BF16 finetune -BF16 3.97B M other hirundo-io 0 3.6k
mlx-community/NVIDIA-Nemotron-Nano-9B-v2-6bit finetune — 1.95B S other mlx-community 1 3.5k
gaianet/NVIDIA-Nemotron-Nano-9B-v2-GGUF quantized GGUF — — other gaianet 0 3.5k
weathermanj/Nemotron-nano-9b-fp8 finetune -fp8 8.89B M other weathermanj 6 2.1k
cyankiwi/NVIDIA-Nemotron-Nano-9B-v2-AWQ-8bit quantized AWQ 3.35B M other cyankiwi 0 2.3k
DevQuasar/nvidia.NVIDIA-Nemotron-Nano-9B-v2-GGUF quantized GGUF — — — DevQuasar 1 2.1k
ilintar/NVIDIA-Nemotron-Nano-9B-v2-GGUF quantized GGUF — — other ilintar 1 1.1k
Lumia101/NVIDIA-Nemotron-Nano-9B-v2-Q4_K_M-GGUF quantized GGUF — — other Lumia101 0 1.1k
impacte/NVIDIA-Nemotron-Nano-9B-v2-GGUF quantized GGUF — — other impacte 0 927
Joakimpalm-Zen/NVIDIA-Nemotron-Nano-9B-v2-Q8_0-GGUF quantized Q8_0 — — other Joakimpalm-Zen 1 759
yueqis/nemotron-nano-9b-openhands-3epochs-30k-5e-5 finetune — 8.89B M other yueqis 0 765
AXONVERTEX-AI-RESEARCH/NVIDIA-Nemotron-Nano-9B-v2-Q8_0-GGUF quantized Q8_0 — — other AXONVERTEX-AI-RESEARCH 0 367
shrikanthzededa/Nemotron-Nano-9B-v2-GGUF quantized GGUF — — — shrikanthzededa 0 363
rbinrs/Huihui-NVIDIA-Nemotron-Nano-9B-v2-abliterated finetune — 8.89B M other rbinrs 1 263
redhelix/Nemotron-Nano-9B-v2-W4A16 finetune -W4A16 8.89B M other redhelix 0 304
Mitchins/Aronnax-N9Bv2-1.0 finetune — 8.89B M apache-2.0 Mitchins 0 162
urufura/NVIDIA-Nemotron-Nano-9B-v2-Japanese finetune — 8.89B M other urufura 0 159
SketchSSM/Nemotron-Nano-9B-v2-BF16 finetune -BF16 — — apache-2.0 SketchSSM 3 0
litert-community/NVIDIA-Nemotron-Nano-9B-v2 quantized — — — other litert-community 2 50
Aashraf995/Nemotron-Nano-9B quantized GGUF — — other Aashraf995 0 136
Ripefog/Nemotron_translation finetune — 8.89B M apache-2.0 Ripefog 0 97
Arsh9210/NVIDIA-Nemotron-3-Nano-4B-BF16 finetune -BF16 3.97B M other Arsh9210 0 72
liodon-ai/NVIDIA-Nemotron-Nano-9B-v2-FP8 quantized -FP8 8.89B M other liodon-ai 0 58

Repository changelog

30 commits
changed in the last 7 daysOther: 2026-10-24all changes

Repository changelog 30 commits

DateCommitSHA
2026-03-05 Update modeling_nemotron_h.py (#36) 6533e8d
2026-01-08 Update config.json (#35) a4fb579
2025-12-05 Update README.md bce37e2
2025-11-25 Fixing nested JSON args parsing for tool-calls in streaming (#32) 7d4e437
2025-11-19 Updating streaming tool-call parser to return ChoiceDeltaToolCall (#31) b90f131
2025-11-10 Upload streaming tool call parser python file for vLLM (#30) 579351d
2025-11-04 Update modeling_nemotron_h.py dbe2b5b
2025-10-15 Update README.md d97784d
2025-10-09 Update README.md c9beb84
2025-10-02 Update README.md e5610bb
2025-08-30 Update README.md dc376c2
2025-08-27 Use remaining_tokens for max_tokens in vLLM token budget demo 41409e7
2025-08-26 Update README.md b5c2277
2025-08-26 Update README.md 3298c11
2025-08-25 Update README.md (#13) ecde253
2025-08-21 Fix model_max_length (#11) d99d974
2025-08-21 Upload modeling_nemotron_h.py (#10) 1370501
2025-08-21 Update README.md a180ba8
2025-08-21 Update config.json 7659b75
2025-08-20 Update README.md 20547a9
2025-08-20 Updating evaluation details for RULER (reasoning off) (#6) 4a28fbc
2025-08-19 Update README.md bd0d6d5
2025-08-19 Update README.md a550406
2025-08-18 Update README.md 60cfbe0
2025-08-18 Update README.md d566bdf
2025-08-18 Update README.md 39d09ce
2025-08-18 Update README.md 786a9ff
2025-08-18 Update README.md 4f47b96
2025-08-18 Update README.md 18c4545
2025-08-18 Minor fixes in example code snippets and chat template description (#2) 92f6429

Articles and coverage

37 pieces

Ranked by source signals (HN, Lobsters, authority domains, official posts) and recency. Summaries are generated from a stored copy of the article text; every sentence cites a span of that text, and nothing is shown that failed the citation check.

Official5

developer.nvidia.com2026-09-16officialauthorityHN front pageabout the NVIDIA familyHN 970 pts · 404 comments2,483 words
NVIDIA announced CUDA Rust in September 2026 to allow GPU kernels to compile natively to PTX from Rust. The SIMT track uses a custom codegen backend (cuda-oxide) for individual thread control, requiring Linux, a GPU with compute capability 8.0 or later, CUDA toolkit 12.x or newer, and a pinned nightly toolchain. The Tile track offers high-level sub-tensor operations via Tile IR, JIT-compiling through CUDA Tile IR when the kernel is first needed, and requires a GPU with compute capability 8.0 or later, CUDA 13.3, and stable Rust 1.89 or newer.written, reviewed, cited
developer.nvidia.com2022-05-11officialauthorityHN front pageabout the NVIDIA familyHN 2,410 pts · 392 comments1,356 words
developer.nvidia.com2024-07-17officialauthorityHN front pageabout the NVIDIA familyHN 881 pts · 254 comments1,190 words
nvidianews.nvidia.com2020-09-13officialHN front pageabout the NVIDIA familyHN 2,122 pts · 752 comments1,047 words
blogs.nvidia.com2020-09-01officialHN front pageabout the NVIDIA familyHN 856 pts · 927 comments39 words

Analysis5

colo.to2026-09-28HN front pageabout the NVIDIA familyHN 1,091 pts · 458 comments770 words
Eric Gullichsen, an early NVIDIA advisor whose biquadratic texture mapping differentiated the NV1, discovered he is owed approximately a billion dollars in NVDA stock. Although the agreement specified a one-year vesting schedule, NVIDIA's CFO in 1996 stated that 15,625 shares had vested, leaving 9,375 unvested.written, reviewed, cited
newsletter.semianalysis.com2026-08-25authorityHN front pageabout the NVIDIA familyHN 584 pts · 381 comments4,887 words
OpenAI announced Jalapeño, an inference chip built with Broadcom that beats Nvidia Blackwell on performance per watt. The chip was developed in approximately 16 months and achieves over 700 tokens per sec per user at concurrency 1 on the DeepSeek R1 model. It utilizes HBM4 to deliver 15.4TB/s of memory bandwidth per package, surpassing accelerators using HBM3E.written, reviewed, cited
  • Jalapeño achieves these results without Multi Token Prediction, while competing chips use it.
  • The B0 stepping delivers 13.4 PFLOPs of MXFP4 on a single reticle-sized compute die.
  • Jalapeño uses an N3E I/O chiplet with 32 lanes of 800G SerDes for the compute fabric.
businessinsider.com2026-08-27HN front pageabout the NVIDIA familyHN 1,988 pts · 925 comments615 words
Nvidia is in talks to acquire Hugging Face for more than $13 billion, a potential deal valued higher than its previous $7 billion offer rejected by the platform. Nvidia currently holds $47.9 billion in private company investments and has $18 billion committed to equity investments for the rest of its fiscal year. Ownership could complicate Hugging Face's neutrality, as the platform supports models and hardware from competitors such as AMD and Intel.written, reviewed, cited
  • Hugging Face previously rejected a $500 million Nvidia investment offer to avoid a dominant investor.
  • Nvidia participated in Hugging Face's 2023 funding round that valued the company at $4.5 billion.
  • The companies have not yet reached a deal, and the talks could still fall apart.
economist.com2026-09-12HN front pageabout the NVIDIA familyHN 584 pts · 401 comments
cnbc.com2026-07-24HN front pageabout the NVIDIA familyHN 659 pts · 318 comments772 words
All coverage tracked for this model (37) — append-only, nothing is ever removed
TitleSourcePublishedFirst seenSignals
NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Modelresearch.nvidia.com official—2026-10-07exa
NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid ...arxiv.org—2026-10-07exa
Supercharge Edge AI With High‑Accuracy Reasoning Using NVIDIA Nemotron Nano 2 9Bhuggingface.co—2026-10-07exa
NVIDIA Nemotron Nano 9B V2 Models - Intelligence, Performance & Price Comparison | Artificial Analysisartificialanalysis.ai—2026-10-07exa
nvidia / nemotron-nano-9b-v2docs.api.nvidia.com official—2026-10-07exa
nvidia / nvidia-nemotron-nano-9b-v2docs.api.nvidia.com official—2026-10-07exa
Owed a billion dollars in Nvidia stockcolo.to2026-09-282026-10-07hn
Nvidia announces native GPU programming in Rustdeveloper.nvidia.com official2026-09-162026-10-07hn
Nvidia is the central bank of AIeconomist.com2026-09-122026-10-07hn
Nvidia agrees to acquire Hugging Face for $13Bbusinessinsider.com2026-08-272026-10-07hn
OpenAI Jalapeño: Better than Nvidia Blackwellnewsletter.semianalysis.com2026-08-252026-10-07hn
Nvidia, Microsoft, Meta warn against overregulating open-weight modelscnbc.com2026-07-242026-10-07hn
Apple is fighting for TSMC capacity as Nvidia takes center stageculpium.com2026-01-152026-10-07hn
Nvidia to buy assets from Groq for $20B cashcnbc.com2025-12-242026-10-07hn
Nvidia buys $5B in Inteltomshardware.com2025-09-182026-10-07hn
Nemotron Nano 9B v2 by NVIDIA: Complete Performance Review & Benchmarks (2026)airank.dev2025-08-182026-10-07exa
Nvidia won, we all lostblog.sebin-nyshkim.net2025-07-042026-10-07hn
The impact of competition and DeepSeek on Nvidiayoutubetranscriptoptimizer.com2025-01-252026-10-07hn
Nvidia's Project Digits is a 'personal AI supercomputer'techcrunch.com2025-01-072026-10-07hn
LibreCUDA – Launch CUDA code on Nvidia GPUs without the proprietary runtimegithub.com2024-08-082026-10-07hn
NVIDIA Transitions Fully Towards Open-Source Linux GPU Kernel Modulesdeveloper.nvidia.com official2024-07-172026-10-07hn
Hacked Nvidia 4090 GPU driver to enable P2Pgithub.com2024-04-122026-10-07hn
Pixar, Adobe, Apple, Autodesk, and Nvidia form alliance for OpenUSDapple.com2023-08-012026-10-07hn
TSMC to make 4nm chips in Arizona for Apple, AMD, Nvidiatechmonitor.ai2022-12-012026-10-07hn
EVGA terminates Nvidia partnership [video]youtube.com2022-09-162026-10-07hn
US Government Bans Export of Nvidia A100 and H100 GPUs to China and Russiasec.gov2022-08-312026-10-07hn
“Amateur” programmer fought cancer with 50 Nvidia Geforce 1080Tihowardchen.substack.com2022-05-202026-10-07hn
Nvidia releases open-source GPU kernel modulesdeveloper.nvidia.com official2022-05-112026-10-07hn
Cybercriminals who breached Nvidia issue one of the most unusual demands everarstechnica.com2022-03-042026-10-07hn
Nvidia prepares to abandon $40B Arm bidbloomberg.com2022-01-252026-10-07hn
FTC sues to block Nvidia-Arm mergerftc.gov2021-12-022026-10-07hn
Full key extraction of Nvidia TSECgist.githubusercontent.com2021-11-232026-10-07hn
Nvidia Canvasnvidia.com official2021-06-252026-10-07hn
Nvidia cripples cryptocurrency mining on RTX 3080 and 3070 cardsbleepingcomputer.com2021-05-182026-10-07hn
Nvidia to Acquire Arm for $40Bnvidianews.nvidia.com official2020-09-132026-10-07hn
Nvidia Unveils GeForce RTX 30 Series GPUsblogs.nvidia.com official2020-09-012026-10-07hn
Nvidia is reportedly in ‘advanced talks’ to buy ARM for more than $32Bbloomberg.com2020-07-312026-10-07hn

Papers

3 papers

Papers 3

arXiv links found in the model card and its tags. "Peer-reviewed" is shown only with evidence: a published venue in OpenAlex (measured) or the authors' own journal reference on arXiv (reported).

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Sources

3 sources

Sources

Hub snapshot: 2026-10-25 · HF API: 2026-10-24 21:35 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:45 UTC · Summary: 2026-10-07 15:03 UTC · Last verified 2026-10-25

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