Amazon Nova is Amazon's own family of foundation models for text, image/video understanding, document analysis, agents, tool use, and speech.
Nova is used via Amazon Bedrock APIs, in particular InvokeModel, InvokeModelWithResponseStream, Converse, ConverseStream, and, for Sonic, via bidirectional streaming.
Amazon Nova API
LLM “frontier intelligence” - “industry-leading price-performance”
Origin: USA ⓘ For AWS in general, officially documented, among others, is Amazon Web Services, Inc., 410 Terry Avenue North, Seattle, WA 98109-5210, U.S.A.
Flex / Priority / Reserved Tiers Bedrock supports different service tiers to manage cost, availability, latency, and throughput.
Batch Inference Asynchronous processing of larger workloads; according to AWS, cheaper than On-Demand for selected models.
Provisioned Throughput Reserved capacity for higher or predictable throughput; required for certain custom or production scenarios.
Fine-Tuning / Custom Models Customization using your own training/validation data; use of individual models typically via provisioned capacity.
Guardrails / Knowledge Bases / Agents / Prompt Routing Additional Bedrock features for security, RAG, agent orchestration, model routing, and governance.
Target audience
Amazon Nova API is aimed at developers, AWS teams, start-ups, agencies, SMEs, enterprise IT, data/AI teams, and organizations that want to integrate generative AI directly into AWS-native applications. Nova is particularly well suited for companies that already use AWS for identity, data storage, logging, security, governance, or application operations.
Outstanding features
Outstanding features include deep Bedrock integration, multiple API access options, multimodality, agent capabilities, guardrails, model customization, and regional operating options. Nova 2 Lite supports up to 1M context, 64K output, Extended Thinking, Web Grounding, Code Interpreter, document understanding, and video analysis. Nova Sonic and Nova 2 Sonic cover real-time voice dialogues via speech-to-speech.
Key application areas
Typical use cases include chatbots, internal knowledge assistants, RAG systems, document QA, contract/PDF analysis, video analysis, UI/workflow automation, agents with tools, coding assistance, customer service, voice assistants, contact center scenarios, classification, summarization, text generation, and AWS-related automations.
Usage & notes
Usage requires an AWS account, Amazon Bedrock Model Access, an API key or AWS credentials, and Bedrock Runtime. For text/chat applications, Converse and ConverseStream are useful; for classic inference, InvokeModel; for speech-to-speech, Sonic uses bidirectional streaming. For GDPR/enterprise setups, region, inference profiles, cross-region behavior, logging, guardrails, IAM, KMS, CloudTrail, CloudWatch, budgets, and data flows should be defined before going live.
| Target audience | Assessment |
|---|---|
| AWS customers / cloud teams | Highly suitable – if AWS is already the standard for infrastructure, IAM, KMS, VPC, monitoring, and governance. |
| Developers / product teams | Highly suitable – for multimodal AI apps with text, image, video, RAG, agent, and automation features. |
| Large enterprises | Highly suitable – because of Bedrock governance, IAM, PrivateLink, KMS, CloudTrail, guardrails, region selection, and compliance frameworks. |
| SMEs with AWS know-how | Suitable – if AWS expertise is already available and there is no desire to operate your own model infrastructure. |
| Regulated industries | Suitable to highly suitable – especially with a clean AWS region setup, Bedrock configuration, DPA, IAM, logging strategy, and cross-region control. |
| Private individuals without cloud experience | Rather unsuitable – Amazon Nova via Bedrock is a developer/cloud API offering, not a simple end-user chatbot. |
Calculate tokens and costs with the KIFOX Tokenizer
Amazon Nova 2 Lite
amazon.nova-2-lite-v1:0 cost-efficient multimodal workloads, 1M context, document analysis, video analysis, agents, RAG, simple automations, Extended Thinking, high volumes
Amazon Nova 2 Sonic
amazon.nova-2-sonic-v1:0 real-time voice assistants, speech-to-speech, voice bots, contact center, natural dialogues, low latency
Amazon Nova Premier
amazon.nova-premier-v1:0 complex multimodal tasks, reasoning, agents, model distillation, large documents, video analysis, code/UI workflows
Amazon Nova Pro
amazon.nova-pro-v1:0 balanced all-rounder, good balance of quality/cost/latency, RAG, chatbots, agents, documents, images, video
Amazon Nova Lite
amazon.nova-lite-v1:0 affordable multimodal applications, document analysis, visual Q&A, video inputs, high request volumes
Amazon Nova Micro
amazon.nova-micro-v1:0 very fast text tasks, low latency, classification, simple chatbots, routing, summaries, cost-sensitive workloads
Amazon Nova Sonic
amazon.nova-sonic-v1:0 real-time voice, speech-to-speech, multilingual voice dialogues, voice agents; for new projects, Nova 2 Sonic should generally be considered instead
Hosting & Data
1) On-prem / local hosting
Meaning: The company operates the solution on its own hardware or within its own infrastructure. In the strictest sense, not only the application runs locally, but ideally the model as well.
2) Private cloud / data center
Meaning: The solution runs in a dedicated or more clearly separated cloud environment, often with a hosting provider or hyperscaler, but in a German data center or in a particularly controlled environment.
3) EU SaaS / managed
Meaning: The provider operates the solution itself as a service. The company uses the tool as a ready-made cloud service, ideally with EU data residency.
4) Hybrid
Meaning: One part of the processing remains internal / local / in a private cloud, while another part runs in an external cloud or EU SaaS.
5) AVV / DPA
Meaning: This is the data processing agreement or Data Processing Addendum. It governs that the provider processes personal data on behalf of the customer and is bound by the customer's instructions.
6) No training
Meaning: The provider does not use your prompts, uploads, attachments, chat histories, or outputs for training or improving the general model — ideally excluded by contract.
7) Open-source / transparency path
Meaning: There is a path toward greater technical transparency and sovereignty, for example through:
- open models
- documented components
- self-hostable parts
- traceable architecture
- export / switching options
| On-prem / local hosting | ❓ |
| Private cloud / data center | ⚠️ |
| EU SaaS / Managed | ✅ |
| Hybrid | ✅ |
| DPA / AVV | ✅ |
| No training on customer data | ✅ |
| Open source / transparency path | ❓ |
Overall assessment of hosting & data:
Amazon Nova is available via Amazon Bedrock as a fully managed AWS API service. The Nova model family includes Nova Micro, Nova Lite, Nova Pro, Nova Premier, Nova Canvas, and Nova Reel for text, image, video, and multimodal applications. Positive aspects include AWS-native security and governance features such as IAM, KMS, VPC/PrivateLink, CloudTrail, CloudWatch, Guardrails, Knowledge Bases, Agents, Batch, Provisioned Throughput, Fine-Tuning, and Cross-Region Inference Profiles. A critical point is that traditional on-prem hosting of the Nova models is not publicly available as a standard offering, and that Cross-Region Inference must be deliberately controlled when data residency is important.
Conclusion:
Amazon Nova via Bedrock is particularly strong for companies that want to run generative AI productively in AWS; for EU/GDPR use, EU regions, geographic cross-region profiles, logging, S3 storage, IAM, and the DPA should be configured properly.
| On-prem / local hosting | ❓ |
| Private cloud / data center | ⚠️ |
| EU SaaS / Managed | ✅ |
| Hybrid | ✅ |
| DPA / AVV | ✅ |
| No training on customer data | ✅ |
| Open source / transparency path | ❓ |
Overall assessment of hosting & data:
Amazon Nova is available via Amazon Bedrock as a fully managed AWS API service. The Nova model family includes Nova Micro, Nova Lite, Nova Pro, Nova Premier, Nova Canvas, and Nova Reel for text, image, video, and multimodal applications. Positive aspects include AWS-native security and governance features such as IAM, KMS, VPC/PrivateLink, CloudTrail, CloudWatch, Guardrails, Knowledge Bases, Agents, Batch, Provisioned Throughput, Fine-Tuning, and Cross-Region Inference Profiles. A critical point is that traditional on-prem hosting of the Nova models is not publicly available as a standard offering, and that Cross-Region Inference must be deliberately controlled when data residency is important.
Conclusion:
Amazon Nova via Bedrock is particularly strong for companies that want to run generative AI productively in AWS; for EU/GDPR use, EU regions, geographic cross-region profiles, logging, S3 storage, IAM, and the DPA should be configured properly.
Strengths & Weaknesses at a Glance
| Strengths | Weaknesses |
|---|---|
| • Strong AWS integration. | • No self-hosting of the Nova model weights. |
| • No training with customer data according to AWS. | • No open-source/open-weights path. |
| • EU regions or EU geo-inference available for several Nova models. | • Prices depend heavily on the model, region, service tier, and token consumption. |
| • Good model tiering from inexpensive/fast to powerful. | • Some models are only available in certain regions. |
| • Multimodal models for text, images, video, documents, and code. | • Nova Canvas and Nova Reel are Nova models, but not LLMs. |
| • Strong enterprise controls via AWS IAM, VPC/PrivateLink-like architecture, CloudTrail, CloudWatch, KMS, and Bedrock Guardrails. | • For GDPR projects, region, cross-region inference, logging, guardrails, retention, and the AWS contract must be configured properly. |
Reviews
0 reviews in total
There are no confirmed reviews for this tool yet.
Submit review
Deine Bewertung wird erst nach der Bestätigung per E-Mail sichtbar. Damit schützen wir das Portal vor Missbrauch.
Report review
Please select the reason why this review should be checked.
GDPR-compliant use possible?
GDPR assessment: Amazon Nova via Amazon Bedrock is well suited from a GDPR perspective if AWS contracts, DPA, region, IAM, logging, and cross-region inference are configured correctly.
Positive is that, according to AWS, Amazon Bedrock does not store or log prompts and completions, does not use them to train AWS models, and does not distribute them to third parties. According to AWS, model providers do not receive access to the Bedrock deployment accounts, logs, or customer inputs/outputs. In addition, Bedrock offers encryption in transit and at rest, AWS KMS, IAM, CloudTrail, PrivateLink, and compliance references including GDPR, ISO, SOC, CSA STAR, HIPAA Eligible, and FedRAMP High for AWS GovCloud.
Negative is that, under the shared responsibility model, the customer remains responsible for correct configuration, region, access rights, logs, tags, external data sources, knowledge bases, and cross-region inference.
Server location: Depends on the selected AWS region; with geographic cross-region inference, prompts/outputs can be processed within a geography such as the EU, while with global cross-region inference, data can be processed worldwide in supported commercial AWS regions. Further links: Amazon Bedrock Data Protection, Security & Privacy, Cross-Region Inference.