{"id":528812,"date":"2025-12-15T15:07:42","date_gmt":"2025-12-15T15:07:42","guid":{"rendered":"https:\/\/Blockchain.News\/news\/nvidia-nemotron-3-nano-available-together-ai"},"modified":"2025-12-15T15:07:42","modified_gmt":"2025-12-15T15:07:42","slug":"nvidias-nemotron-3-nano-now-available-on-together-ai","status":"publish","type":"post","link":"https:\/\/e-bitco.in\/index.php\/2025\/12\/15\/nvidias-nemotron-3-nano-now-available-on-together-ai\/","title":{"rendered":"NVIDIA’s Nemotron 3 Nano Now Available on Together AI"},"content":{"rendered":"
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Felix Pinkston<\/a> Dec 15, 2025 15:07<\/span> <\/p>\n

NVIDIA’s Nemotron 3 Nano, a cutting-edge reasoning model, is now accessible via Together AI, offering enhanced performance for multi-agent systems.<\/p>\n

\"NVIDIA's <\/a> <\/figure>\n

NVIDIA’s latest reasoning model, Nemotron 3 Nano, has been made available on Together AI, an AI Native Cloud platform, according to together.ai<\/a>. This development is set to enhance the capabilities of AI engineers in building more efficient agentic systems.<\/p>\n

Features of Nemotron 3 Nano<\/h2>\n

The Nemotron 3 Nano leverages a hybrid Mamba\u2013Transformer and sparse Mixture-of-Experts (MoE) architecture. This design combines the strengths of Mamba layers, which efficiently manage long-range dependencies, and Transformer layers, known for general-purpose reasoning and instruction following. The sparse MoE architecture activates approximately 3 billion out of 30 billion parameters per token, optimizing speed and reducing costs.<\/p>\n

With a 1 million token context, the model supports extensive planning, resource-heavy pipelines, and persistent agent memory. It includes open weights, training data, and recipes, making it adaptable for research, enterprise, and compliance-focused deployments. The model excels in coding, scientific reasoning, and function calling tasks.<\/p>\n

Deployment on Together AI<\/h2>\n

Together AI is tailored for production-scale reasoning and agentic workloads, making it an ideal platform for the Nemotron 3 Nano. It offers robust performance with low latency and high throughput, ensuring fast, multi-step reasoning without bottlenecks. The platform also scales efficiently across parallel workloads, supporting multi-agent orchestration and tool-use pipelines.<\/p>\n

Together AI emphasizes reliability, maintaining consistent performance during high traffic and ensuring high uptime. This reliability is crucial for applications involving continuous decision-making tasks. Moreover, the platform enhances cost efficiency by leveraging the model’s efficient parameter activation, lowering the cost per agent step.<\/p>\n

The platform’s flexibility is evident in its simple, developer-friendly APIs, which include an OpenAI-compatible interface, facilitating easy integration into existing workflows and systems.<\/p>\n

Applications and Use Cases<\/h2>\n

Nemotron 3 Nano is particularly suited for reasoning-intensive applications within the Together AI ecosystem. Its capabilities are beneficial for developing coding assistants, scientific reasoning agents, and long-context enterprise assistants. The model supports multi-step tool use and planning agents, expanding its applicability across various industries.<\/p>\n

Developers can begin working with Nemotron 3 Nano on Together AI and engage with the community through platforms such as Discord to explore further opportunities and collaborations.<\/p>\n

Image source: Shutterstock<\/i><\/span> Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Felix Pinkston Dec 15, 2025 15:07 NVIDIA’s Nemotron 3 Nano, a cutting-edge reasoning model, is now accessible via Together AI, offering enhanced performance for multi-agent systems. NVIDIA’s latest reasoning model, Nemotron 3 Nano, has been made available on Together AI, an AI Native Cloud platform, according to together.ai. This development is set to enhance the […]<\/p>\n","protected":false},"author":1,"featured_media":528813,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[12],"tags":[1129,23697,25,2148,19527],"class_list":{"0":"post-528812","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-blockchain","8":"tag-ai","9":"tag-nemotron-3-nano","10":"tag-news","11":"tag-nvidia","12":"tag-together-ai"},"_links":{"self":[{"href":"https:\/\/e-bitco.in\/index.php\/wp-json\/wp\/v2\/posts\/528812","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/e-bitco.in\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/e-bitco.in\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/e-bitco.in\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/e-bitco.in\/index.php\/wp-json\/wp\/v2\/comments?post=528812"}],"version-history":[{"count":0,"href":"https:\/\/e-bitco.in\/index.php\/wp-json\/wp\/v2\/posts\/528812\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/e-bitco.in\/index.php\/wp-json\/wp\/v2\/media\/528813"}],"wp:attachment":[{"href":"https:\/\/e-bitco.in\/index.php\/wp-json\/wp\/v2\/media?parent=528812"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/e-bitco.in\/index.php\/wp-json\/wp\/v2\/categories?post=528812"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/e-bitco.in\/index.php\/wp-json\/wp\/v2\/tags?post=528812"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}