4 models across 2 families · Latest: DeciLM 7B (2024-01)
Automating neural architecture design
Deci AI's portfolio covers 4 active models across 2 non-obsolete families, with task labels spanning general LLM work. Open a model detail page to compare provider routes and sourced benchmarks.
Portfolio context: 0 decision-task tags, 4 active tracked models, latest research stamp 2026-05-19.
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Active models
4
Non-deprecated SKUs linked to this researcher
Active families
2
Non-obsolete families in coverage
Open catalog
0 OSS
0 open-weight (text match)
Decision task tags
0
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Latest dated release
2024-01-16
DeciLM 7B
Freshness
2026-05-19
Researched 16d ago
Release cadence
Showing 4 recent dated ships (full timeline below). Latest spotlight: DeciLM 7B (2024-01-16).
Where this lab wins
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Flagship quality / price signal
Anchor SKU: DeciLM 7B (best sourced coding Q/$ in this portfolio).
Quality / dollar unavailable for this anchor — missing benchmark coverage and/or output token price on the cheapest ladder route (open the model detail after pricing lands).
Deci AI is an Israeli AI research organization founded in 2019. Automating neural architecture design. Deci AI ships 2 model families totaling 4 models, with the most recent release DeciLM 7B in 2024-01. Notable families include DeciLM and DeciCoder. Use it as a stable reference for lab background, release coverage, and follow-up model pages as they are added. Researchers and evaluators can. View official API endpoints, benchmark performance, and coding/agent fit for every Deci AI model.
About
Deci AI, founded in Tel Aviv in 2019, is a leading force in the realm of AI and deep learning acceleration. The company focuses on developing innovative solutions that empower developers by enhancing, optimizing, and expediting the deployment of AI models across various platforms, including cloud, edge, and mobile devices. A hallmark of Deci AI's approach is its emphasis on efficiency and cost-effectiveness, aiming to alleviate the computational and financial demands typical of AI model development and deployment 15. At the heart of Deci AI's technological advancements is their Automated Neural Architecture Construction (AutoNAC) engine. This cutting-edge NAS-based technology automatically configures and refines deep learning model architectures, focusing on achieving an optimal blend of accuracy and processing speed. By customizing models according to the unique demands of specific data sets, tasks, and performance goals, AutoNAC advances computer vision and natural language processing (NLP) technologies, evident in models like YOLO-NAS, DeciBERT, and DeciSeg 6. Deci AI's impact on generative AI and large language models (LLMs) is significant. The company has crafted a plethora of proprietary, fine-tunable LLMs and introduced Infery LLM, a novel inference engine complemented with an AI inference cluster management solution. Their flagship model, Deci-Nano, showcases leading-edge language and reasoning proficiency, surpassing rival models from giants like Google and Mistral regarding speed and cost-efficiency. Infery LLM notably advances Deci-Nano's real-time latency while minimizing expenses, enhancing the overall efficiency of the model 7. Additionally, Deci AI's portfolio includes noteworthy generative AI models such as the open-source DeciLM-7B, DeciCoder in various scales, and DeciDiffusion 2.0. These models focus on efficiency and are readily accessible via Deci's platform. The company ensures robust data security and control for enterprises, offering deployment options through a Virtual Private Cloud (VPC), directly within data centers, or via their API 3. Deci AI's remarkable journey includes collaborations with industry titans like Intel, AWS, NVIDIA, and HP, earning recognition from institutions like Gartner and MLPerf. In a notable development, Deci AI was acquired by NVIDIA in April 2024 and now operates as an NVIDIA subsidiary. This acquisition emphasizes Deci's substantial influence on the AI sector and its potential to further bolster NVIDIA's AI innovations. The company's commitment to open-source development, evidenced by models like DeciCoder, further illustrates its dedication to advancing innovation and accessibility within the AI community 5.
Featured models
| Model | Released | Context | Input price ($/1M) | Output price ($/1M) | License |
|---|---|---|---|---|---|
| DeciLM 7B | 2024-01-16 | 8k | $0.52 | $0.67 | Unknown |
| DeciLM 6B | 2024-01-16 | 4k | - | - | Unknown |
| DeciCoder 6B | 2023-08-15 | 4k | - | - | Unknown |
Model families
Recent releases
- DeciLM 7B- 2024-01-16
- DeciLM 6B- 2024-01-16
- DeciCoder 6B- 2023-08-15
- DeciCoder 1B- 2023-08-15
FAQ
Who founded Deci AI and when?
Deci AI was founded in 2019 and is associated with Tel Aviv, Israel. NVIDIA (April 2024).
What models has Deci AI released?
Deci AI ships 4 models across 2 families: DeciLM and DeciCoder.
Is Deci AI's technology open source?
LLMReference does not yet have enough model license data to classify Deci AI's releases.
Where is Deci AI headquartered?
Deci AI is headquartered in Tel Aviv, Israel.
What is Deci AI known for?
Automating neural architecture design. Its most prominent tracked family is DeciLM.
How can I access Deci AI's models?
Deci AI's models are available via Microsoft Foundry.
Explore related pages
Last reviewed: 2026-05-19. Data sourced from public lab announcements and provider documentation.