Introducing Amazon Nova: A New Generation of Foundation Models
Amazon (NASDAQ: AMZN) has unveiled Amazon Nova, a new generation of foundation models offering state-of-the-art intelligence and industry-leading price performance. The suite includes Amazon Nova Micro (text-to-text), Nova Lite, Pro, and Premier (multi-modal models), along with Nova Canvas (image generation) and Nova Reel (video generation).
The models demonstrate exceptional performance against industry benchmarks, with Nova Micro outperforming competitors like Meta LLaMa 3.1 8B and Google Gemini 1.5 Flash-8B. The models support over 200 languages and offer extensive context lengths, with Nova Micro supporting 128K tokens and Nova Lite/Pro supporting 300K tokens.
Key features include cost-effectiveness (75% less expensive than competitors), seamless integration with Amazon Bedrock, fine-tuning capabilities, and RAG support. Major partners including SAP, Deloitte, and Palantir Technologies are already implementing these models in their operations.
Amazon (NASDAQ: AMZN) ha presentato Amazon Nova, una nuova generazione di modelli di base che offrono intelligenza all'avanguardia e prestazioni di costo leader nel settore. La suite include Amazon Nova Micro (testo-testo), Nova Lite, Pro e Premier (modelli multimodali), insieme a Nova Canvas (generazione di immagini) e Nova Reel (generazione di video).
I modelli dimostrano prestazioni eccezionali rispetto agli standard del settore, con Nova Micro che supera concorrenti come Meta LLaMa 3.1 8B e Google Gemini 1.5 Flash-8B. I modelli supportano oltre 200 lingue e offrono lunghezze di contesto estensive, con Nova Micro che supporta 128K token e Nova Lite/Pro che supporta 300K token.
Le caratteristiche principali includono un ottimo rapporto costo-prestazioni (75% meno costoso rispetto ai concorrenti), integrazione fluida con Amazon Bedrock, capacità di affinamento e supporto RAG. Partner importanti, tra cui SAP, Deloitte e Palantir Technologies, stanno già implementando questi modelli nelle loro operazioni.
Amazon (NASDAQ: AMZN) ha presentado Amazon Nova, una nueva generación de modelos de bases que ofrecen inteligencia de vanguardia y un rendimiento de precio líder en la industria. La suite incluye Amazon Nova Micro (texto-a-texto), Nova Lite, Pro y Premier (modelos multimodales), junto con Nova Canvas (generación de imágenes) y Nova Reel (generación de vídeos).
Los modelos demuestran un rendimiento excepcional frente a los estándares de la industria, con Nova Micro superando a competidores como Meta LLaMa 3.1 8B y Google Gemini 1.5 Flash-8B. Los modelos soportan más de 200 idiomas y ofrecen longitudes de contexto extensas, con Nova Micro soportando 128K tokens y Nova Lite/Pro soportando 300K tokens.
Las características clave incluyen una gran relación costo-efectividad (75% menos caro que los competidores), integración fluida con Amazon Bedrock, capacidades de ajuste fino y soporte RAG. Socios importantes como SAP, Deloitte y Palantir Technologies ya están implementando estos modelos en sus operaciones.
아마존 (NASDAQ: AMZN)은 최첨단 인공지능과 산업 최고의 가격 성능을 제공하는 새로운 세대의 기초 모델인 아마존 노바를 공개했습니다. 이 제품군에는 아마존 노바 마이크로 (텍스트-텍스트), 노바 라이트, 프로 및 프리미어 (다중 모드 모델), 노바 캔버스 (이미지 생성) 및 노바릴 (비디오 생성)이 포함됩니다.
이러한 모델은 업계 벤치마크에 대한 뛰어난 성능을 보여주며, 노바 마이크로는 메타 LLaMa 3.1 8B 및 구글 제미니 1.5 플래시-8B와 같은 경쟁자를 능가합니다. 이 모델은 200개 이상의 언어를 지원하며 128K 토큰을 지원하는 노바 마이크로와 300K 토큰을 지원하는 노바 라이트/프로 등 광범위한 맥락 길이를 제공합니다.
주요 기능으로는 비용 효율성(경쟁사보다 75% 저렴함), 아마존 베드락과의 원활한 통합, 미세 조정 기능, RAG 지원 등이 있습니다. SAP, 딜로이트, 팔란티어 테크놀로지스와 같은 주요 파트너들이 이미 이 모델을 그들의 운영에 구현하고 있습니다.
Amazon (NASDAQ: AMZN) a dévoilé Amazon Nova, une nouvelle génération de modèles fondamentaux offrant une intelligence à la pointe de la technologie et un rapport qualité-prix leader dans l'industrie. La suite comprend Amazon Nova Micro (texte-à-texte), Nova Lite, Pro et Premier (modèles multimodaux), ainsi que Nova Canvas (génération d'images) et Nova Reel (génération de vidéos).
Les modèles montrent des performances exceptionnelles par rapport aux références du secteur, avec Nova Micro surpassant des concurrents comme Meta LLaMa 3.1 8B et Google Gemini 1.5 Flash-8B. Les modèles supportent plus de 200 langues et offrent des longueurs de contexte étendues, avec Nova Micro supportant 128K tokens et Nova Lite/Pro supportant 300K tokens.
Les fonctionnalités clés incluent un rapport coût-efficacité (75% moins cher que les concurrents), une intégration fluide avec Amazon Bedrock, des capacités d'ajustement fin et un support RAG. Des partenaires majeurs tels que SAP, Deloitte et Palantir Technologies mettent déjà en œuvre ces modèles dans leurs opérations.
Amazon (NASDAQ: AMZN) hat Amazon Nova vorgestellt, eine neue Generation von Grundmodellen, die state-of-the-art Intelligenz und branchenführende Preis-Leistungs-Verhältnisse bieten. Die Suite umfasst Amazon Nova Micro (Text-zu-Text), Nova Lite, Pro und Premier (multi-modale Modelle) sowie Nova Canvas (Bilderzeugung) und Nova Reel (Videoschaffung).
Die Modelle zeigen außergewöhnliche Leistungen im Vergleich zu Branchenbenchmarks, wobei Nova Micro Wettbewerber wie Meta LLaMa 3.1 8B und Google Gemini 1.5 Flash-8B übertrifft. Die Modelle unterstützen über 200 Sprachen und bieten umfangreiche Kontextlängen, wobei Nova Micro 128K Tokens und Nova Lite/Pro 300K Tokens unterstützt.
Zu den Hauptmerkmalen gehören Kosteneffizienz (75% günstiger als die Konkurrenz), nahtlose Integration mit Amazon Bedrock, Feinabstimmungsfähigkeiten und RAG-Unterstützung. Große Partner wie SAP, Deloitte und Palantir Technologies setzen diese Modelle bereits in ihren Betrieben ein.
- Industry-leading price performance with 75% lower costs compared to competitors
- Superior benchmark performance against major competitors like Meta and Google
- Extensive language support covering over 200 languages
- High-capacity context length support (128K-300K tokens)
- Strategic partnerships with major companies like SAP, Deloitte, and Palantir
- Amazon Nova Premier won't be available until Q1 2025
- Nova Reel currently to six-second video generation
Insights
Amazon's Nova launch represents a significant leap in the AI market, directly challenging industry leaders like OpenAI, Google and Anthropic. The key competitive advantages include:
- Industry-leading price performance with
75% lower costs than competitors - Superior benchmarking results against major competitors like GPT-4 and Gemini
- Extensive language support (200+ languages) and long context windows (128K-300K tokens)
- Comprehensive multimodal capabilities across text, image and video
The integration with Amazon Bedrock and support for RAG, fine-tuning and distillation positions Nova as a compelling enterprise solution. The upcoming speech-to-speech and multimodal-to-multimodal capabilities in 2025 could further strengthen Amazon's market position in the rapidly evolving AI infrastructure space.
This launch strengthens Amazon's competitive position in the enterprise AI market. Strategic partnerships with major players like SAP, Deloitte and Palantir demonstrate strong enterprise adoption potential. The comprehensive suite covering text, image and video generation positions Amazon to capture market share in the growing AI content creation space.
The focus on cost-effectiveness and performance optimization addresses key enterprise concerns about AI deployment costs. Early customer testimonials from Dentsu Digital and Musixmatch highlighting significant efficiency gains suggest strong commercial viability. This could drive increased AWS revenue and market share gains in the cloud AI services segment.
New state-of-the-art foundation models from Amazon deliver frontier intelligence and industry-leading price performance
Amazon Nova models expand the growing selection of the broadest and most capable foundation models in Amazon Bedrock for enterprise customers
“Inside Amazon, we have about 1,000 generative AI applications in motion, and we’ve had a bird’s-eye view of what application builders are still grappling with,” said Rohit Prasad, SVP of Amazon Artificial General Intelligence. “Our new Amazon Nova models are intended to help with these challenges for internal and external builders, and provide compelling intelligence and content generation while also delivering meaningful progress on latency, cost-effectiveness, customization, Retrieval Augmented Generation (RAG), and agentic capabilities.”
Amazon Nova understanding models demonstrate exceptional intelligence, capabilities, and speed
Amazon Nova includes four state-of-the-art models. The first, Amazon Nova Micro, is a text-only model that delivers the lowest latency responses at very low cost. The next three are: Amazon Nova Lite, a very low-cost multimodal model that is lightning fast for processing image, video, and text inputs; Amazon Nova Pro, a highly capable multimodal model with the best combination of accuracy, speed, and cost for a wide range of tasks; and Amazon Nova Premier, the most capable of Amazon’s multimodal models for complex reasoning tasks and for use as the best teacher for distilling custom models. Amazon Nova Micro, Amazon Nova Lite, and Amazon Nova Pro are generally available today; Amazon Nova Premier will be available in the Q1 2025 timeframe.
We tested the Amazon Nova models against a wide range of industry standard benchmarks. Amazon Nova Micro, Amazon Nova Lite, and Amazon Nova Pro perform quite competitively against the best models in their respective categories.
Amazon Nova Micro was found to be equal1 or better than both Meta LLaMa 3.1 8B on all 11 applicable benchmarks, and Google Gemini 1.5 Flash-8B on all 12 applicable benchmarks. With Amazon Nova Micro’s industry-leading speed of 210 output tokens per second, it is ideal for applications that require fast responses.
Amazon Nova Lite is also highly competitive with other models in the same intelligence class; it performed equal or better on 17 of 19 benchmarks compared to OpenAI’s GPT-4o mini, equal or better on 17 of 21 benchmarks compared to Google’s Gemini 1.5 Flash-8B, and equal or better on 10 of 12 benchmarks compared to Anthropic’s Claude Haiku 3.5. In addition to delivering accuracy on text benchmarks, Amazon Nova Lite stands out on understanding videos, charts, and documents as measured by benchmarks such as VATEX, ChartQA, and DocVQA. Amazon Nova Lite also excels at agentic workflows, such as function calling measured by the Berkeley Function Calling Leaderboard and on the core capabilities of understanding visual elements for taking actions on browsers and computer screens, as measured by VisualWebBench (web browser action grounding benchmark) and Mind2Web (generalist multimodal agents benchmark).
Amazon Nova Pro performed equal or better on 17 of 20 benchmarks compared to OpenAI’s GPT-4o, equal or better on 16 of 21 benchmarks compared to Google’s Gemini 1.5 Pro, and equal or better on 9 of 20 benchmarks compared to Anthropic Claude Sonnet 3.5v2. In addition to accuracy on text and visual intelligence benchmarks, Amazon Nova Pro excels at instruction-following and multimodal agentic workflows as measured by the Comprehensive RAG Benchmark (CRAG), the Berkeley Function Calling Leaderboard, and Mind2Web.
Multi-lingual and Multimodal Support with Long Context
Amazon Nova Micro, Lite, and Pro support over 200 languages. Amazon Nova Micro supports context length of 128K input tokens, whereas Amazon Nova Lite and Amazon Nova Pro support context length of 300K tokens, or 30 minutes of video processing. In early 2025, Amazon will support context length of over 2M input tokens.
Fast and cost-effective
All Amazon Nova models are fast, cost-effective and have been designed to be easy to use with a customer’s systems and data. Amazon Nova Micro, Amazon Nova Lite, and Amazon Nova Pro are at least 75 percent less expensive than the best performing models in their respective intelligence classes in Amazon Bedrock. They are also the fastest models in their respective intelligence classes in Amazon Bedrock.
Seamless integration with Amazon Bedrock
All Amazon Nova models are integrated with Amazon Bedrock, a fully managed service that makes high-performing FMs from leading AI companies and Amazon available for use through a single API. Using Amazon Bedrock, customers can easily experiment with and evaluate Amazon Nova models, as well as other FMs, to determine the best model for an application.
Support for fine-tuning to boost accuracy
The models also support custom fine-tuning, which allows customers to point the models to examples in their own proprietary data that have been labeled to boost accuracy. The Amazon Nova model learns what matters most to the customer from their own data (including text, images, and videos), and then Amazon Bedrock trains a private fine-tuned model that will provide tailored responses.
Distillation to train smaller, more efficient models
In addition to supporting fine-tuning, the models also support distillation, which enables the transfer of specific knowledge from a larger, highly-capable “teacher model” to a smaller, more efficient model that is highly accurate, but also faster and cheaper to run.
RAG to ground responses in data
Amazon Nova models are integrated with Amazon Bedrock Knowledge Bases and excel at Retrieval Augmented Generation (RAG), which enables customers to ensure the best accuracy, by grounding responses in an organization’s own data.
Optimized for agentic applications
Amazon Nova models have been optimized to make them easy to use and effective in agentic applications that require interacting with an organization’s proprietary systems and data through multiple APIs to execute multistep tasks.
Access to production-grade visual content with Nova creative content generation models
Amazon Nova Canvas is a state-of-the-art image generation model that creates professional grade images from text or images provided in prompts. Amazon Nova Canvas also provides features that make it easy to edit images using text inputs, and provides controls for adjusting color scheme and layout. The model comes with built-in controls to support safe and responsible AI use. These include features like watermarking, which allows the source of an image to always be traced, and content moderation, which limits the generation of potentially harmful content. Amazon Nova Canvas performs better than image generators such as OpenAI DALL-E 3 and Stable Diffusion in side-by-side human evaluations conducted by a third party, and on key automated metrics.
Amazon Nova Reel is a state-of-the-art video generation model that allows customers to easily create high-quality video from text and images. It is ideal for content creation in advertising, marketing, or training. Customers can use natural language prompts to control visual style and pacing, including camera motion, rotation, and zooming. It outperforms comparable models in quality and consistency, according to side-by-side human evaluations conducted by a third party that preferred Amazon Nova Reel-generated videos over those generated by Runway’s Gen-3 Alpha. Like Amazon Nova Canvas, Amazon Nova Reel comes with built-in controls to support safety and responsible AI use, including watermarking and content moderation. Amazon Nova Reel currently generates six-second videos, and will support the generation of videos of up to two-minutes in length in the coming months.
What’s next: Speech-to-Speech and Multimodal-to-Multimodal models
Amazon will introduce an Amazon Nova speech-to-speech model in the first quarter of 2025. The model is designed to transform conversational AI applications by understanding streaming speech input in natural language, interpreting verbal and non-verbal cues (like tone and cadence), and delivering natural human-like, back-and-forth interactions with low latency.
Amazon is also developing a novel model that can take text, images, audio, and video as input, and generate outputs in any of these modalities. This Amazon Nova model with native multimodal-to-multimodal – or “any-to-any” modality capabilities – will be introduced mid-year 2025. It will simplify the development of applications where the same model can be used to perform a wide variety of tasks, such as translating content from one modality to another, editing content, and powering AI agents that can understand and generate all modalities.
AWS partners and customers are already taking advantage of the capabilities and price-performance of Amazon Nova models
SAP, a strategic partner of AWS, is integrating Amazon Nova models into its SAP AI Core generative AI hub’s family of supported LLMs. This enables developers to create new skills for Joule, SAP’s AI copilot, and securely build AI-driven solutions that harness the full business context captured in SAP data, enabling automation, personalization, and advanced solutions like supply chain planning.
Deloitte, a strategic partner of AWS, is committed to delivering best-in-class generative AI services to global businesses across every sector. Deloitte knows that AI solutions and foundation models are not one-size-fits-all and believes the advanced customization capabilities and enhanced security of Amazon Nova models will drive innovation that delivers exceptional value to their clients around the world.
Dentsu Digital Inc., a digital marketing company, is integrating Amazon Nova Reel into its creative process, enabling its team to improve and accelerate the development of its campaigns – from briefing, to concept development, to creative video content generation. Amazon Nova Reel reduces the overall time it takes to generate new assets from weeks to days.
Musixmatch is the world's largest lyrics platform with over 80 million users and a database of more than 11 million unique lyrics. Musixmatch is including Amazon Nova Reel in Musixmatch Pro, which helps creators distribute lyrics across all the major digital streaming services and social networks. Emerging artists can use Amazon Nova Reel to produce high-quality music videos using their songs’ context as inputs, and customize them with natural language prompts.
123RF, a stock photography and video portal with a library of over 200 million images and videos, is using Amazon Nova Canvas and Amazon Nova Reel to simplify the design process with smarter, faster, and easier-to-use tools for creators producing visual media. Amazon Nova’s leading price-performance, speed, cross-language reasoning, and content moderation at scale helps deliver these new capabilities to customers and creators around the world.
Caylent, a next-generation cloud services company, is using Amazon Nova models to bring video understanding capabilities to customers across media, sports, and retail. Previously, Caylent would piece together combinations of different techniques and models to provide video understanding for customers across these industries. Now, Amazon Nova delivers industry-leading results for a fraction of the cost, while reducing the time it takes to go from prototype to production, and eliminating complexities like image tiling, sampling, and semantic hashing.
Palantir Technologies builds software that enables AI-driven decision-making in many of the most critical contexts in the world. Amazon Nova Pro’s advanced reasoning capabilities will integrate with the Ontology System within Palantir’s AI Platform (AIP) to drive new operational efficiencies and decision-making workflows across 40+ industries. For example, this integration will empower insurance agents that process complex policy requests, and supply chain agents that orchestrate end-to-end reallocation processes.
Shutterstock is a leading creative platform offering full-service solutions, high-quality content, and tools for transformative brands, digital media, and marketing businesses. Based on the high image quality outputs of Amazon Nova Canvas, the team at Shutterstock is excited to include the model in the Shutterstock AI Image Generator, giving users an intuitive, easy-to-use offering.
Amazon is committed to the responsible development of artificial intelligence
Amazon Nova models are built with integrated safety measures and protections. The company has launched AWS AI Service Cards for Amazon Nova, offering transparent information on use cases, limitations, and responsible AI practices.
To get started with Amazon Nova models, visit: https://aws.amazon.com/nova/
To learn more, visit:
- About Amazon for details on today’s announcements.
- The AWS News Blog for details on today’s announcements.
- The Amazon Bedrock page to learn more about the capabilities.
- The AWS re:Invent page for more details on everything happening at AWS re:Invent.
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FAQ
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