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
Today, at AWS re:Invent, Amazon.com Inc (NASDAQ: AMZN)
introduced Amazon Nova, a new generation of foundation models (FMs)
that have state-of-the-art intelligence across a wide range of
tasks, and industry-leading price performance. Amazon Nova models
will be available in Amazon Bedrock, and include: Amazon Nova
Micro (a very fast, text-to-text model); and Amazon Nova
Lite, Amazon Nova Pro, and Amazon Nova Premier
(multi-modal models that can process text, images, and videos to
generate text). Amazon also launched two additional models –
Amazon Nova Canvas (which generates studio-quality images)
and Amazon Nova Reel (which generates studio-quality
videos).
“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.
__________________ 1 When two models overlap in their 95%
confidence intervals of measured accuracy, they are considered
“equal.”
View source
version on businesswire.com: https://www.businesswire.com/news/home/20241203010874/en/
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Amazon.com (NASDAQ:AMZN)
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