Cluster D · AWS AI & Amazon Bedrock
Building generative AI on AWS — the complete reference
A neutral, build-grade reference for the whole AWS GenAI stack: Amazon Bedrock and every model on it, Amazon Q, SageMaker, Nova, the Trainium & Inferentia silicon — what each does, what it costs, and how they compare to OpenAI, Azure, and Vertex AI.
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Start here
- Amazon Bedrock — the complete 2026 guideThe complete Amazon Bedrock guide: the full model catalog, how access and the Converse API work, the real pricing model, the feature suite, security, and Bedrock vs SageMaker.
- What is Amazon Bedrock? — plain-English explainerAmazon Bedrock in plain English: what it is, the problem it solves (many models, one API, no GPUs, private data), what you can build, Bedrock vs ChatGPT, what it costs, and how to start.
- Amazon Bedrock pricing — every model, every inputComplete Amazon Bedrock pricing reference for 2026: per-model token rates (Claude, Llama, Mistral, Nova, Titan, Cohere), on-demand vs Batch vs Provisioned vs prompt caching, fine-tuning costs, worked examples, and how AWS credits make it $0.
- Amazon Bedrock pricing calculator (2026)Estimate your Amazon Bedrock bill: the cost formula, monthly-cost tables for a chatbot, RAG, and batch job by model (Nova, Claude, Llama), the levers, and a walkthrough.
Bedrock features
- Amazon Bedrock Agents — setup + production patternsReference guide to Amazon Bedrock Agents: action groups + Lambda, OpenAPI schemas, the orchestration/ReAct loop, Knowledge Base RAG, memory, return-of-control, the trace, versions + aliases, cost, gotchas, and Agents vs Flows vs custom.
- Amazon Bedrock Guardrails — setup + best practicesReference guide to Amazon Bedrock Guardrails: content filters, denied topics, word/profanity filters, PII detection + redaction, contextual grounding, the ApplyGuardrail API, applying to any model + Agents, testing, HIPAA/PCI/SOC 2, and cost.
- Amazon Bedrock Knowledge Bases — managed RAGReference guide to Amazon Bedrock Knowledge Bases (managed RAG): data sources, chunking + FM parsing, embeddings, vector stores, the Retrieve/RetrieveAndGenerate APIs, managed vs DIY, cost — and how AWS credits make it $0.
- Amazon Bedrock Flows — visual workflow builderReference guide to Amazon Bedrock Flows, the visual GenAI workflow builder: node types, Flows vs LangChain/Step Functions, versions + aliases, testing, use cases, cost — and how AWS credits make it $0.
- Amazon Bedrock fine-tuning — the full 2026 guideFine-tuning models on Amazon Bedrock in 2026: when to fine-tune vs RAG vs prompt engineering, JSONL data prep, running the job, the Provisioned Throughput hosting cost, and how AWS credits make it $0.
Bedrock performance & cost
- Bedrock prompt caching — cut input cost up to 90%How Amazon Bedrock prompt caching cuts input cost up to ~90% and latency: cache checkpoints, supported models, TTL, use cases, the savings math, and how AWS credits make it $0.
- Bedrock batch inference — ~50% cheaper, explainedHow Amazon Bedrock batch inference works: async bulk jobs at ~50% of on-demand price. JSONL in S3, CreateModelInvocationJob, supported models, when to use it, the cost math, and how AWS credits make it $0.
- Bedrock Provisioned Throughput — when it pays offAmazon Bedrock Provisioned Throughput, explained for 2026: model units, on-demand vs PT, when it is required for custom models, the 1-month/6-month pricing tiers, the break-even math with a worked example, and how AWS credits fund it $0.
- Bedrock cross-region inference, explainedAmazon Bedrock cross-region inference, explained for 2026: what inference profiles are, how to enable them, supported models/regions, data-residency considerations, the throughput + resilience benefits, cost (same per-token), and when to use it.
- How to build RAG on AWS — the 2026 guideBuild retrieval-augmented generation on AWS: the reference architecture (ingest→chunk→embed→store→retrieve→re-rank→generate), Bedrock Knowledge Bases vs DIY, vector stores, embeddings, re-ranking, evaluation, and cost.
Foundation models
- Claude on Amazon Bedrock — pricing, access & setupRun Claude on Amazon Bedrock in 2026: the Opus/Sonnet/Haiku family, why Bedrock vs the Anthropic API direct, model IDs + access, per-model pricing, capabilities, and how AWS credits make it $0.
- Amazon Titan models on Bedrock (2026)Amazon Titan on Bedrock in 2026: the text, embeddings, and image models, cheap embeddings pricing for RAG, where Titan fits, and why Nova supersedes it for text.
- Amazon Nova — the complete 2026 guideAmazon Nova explained: AWS's own foundation-model family on Bedrock. Tiers (Micro, Lite, Pro, Premier), Canvas, Reel & Act, a capability table, how to access, honest quality vs Claude & GPT, cost, use cases — and how credits make it $0.
- Amazon Nova pricing — every model tierAmazon Nova pricing for 2026: per-tier token rates for Micro, Lite, Pro and Premier (per 1K and 1M), Canvas per-image and Reel per-second pricing, Nova vs Claude/Llama/Titan cost, Batch + caching, a worked example, and how credits make it $0.
Amazon Q
- Amazon Q — the complete 2026 guideAmazon Q explained: Q Developer vs Q Business, where Q runs, pricing for both, how it compares to GitHub Copilot & Microsoft Copilot, and how it handles your data.
- Amazon Q Developer — full guide & setupAmazon Q Developer guide: features, supported IDEs & languages, Free vs Pro pricing, how it compares to GitHub Copilot & Cursor, enterprise setup, and data/IP handling.
- Amazon Q Business — the enterprise data assistantAmazon Q Business explained: 40+ data connectors, permission-aware RAG retrieval, plugins & actions, Lite vs Pro pricing, admin setup, security, and vs M365 Copilot.
- Amazon Q Developer vs GitHub CopilotAmazon Q Developer vs GitHub Copilot, compared neutrally: completion, chat, agents, code transformation, security, IDE/language, pricing, IP/data, and a verdict by use case.
Amazon SageMaker
- Amazon SageMaker — the complete 2026 guideAmazon SageMaker explained: what it is, its components, the ML lifecycle, the four endpoint types, SageMaker vs Bedrock, pricing, and how AWS credits fund it.
- Amazon SageMaker pricing — full 2026 breakdownAmazon SageMaker pricing: cost by component, an instance & GPU rate table, Savings Plans, two worked examples, optimization levers, and how credits fund it.
AI silicon
- AWS Trainium — the complete training-chip guideAWS Trainium explained: trn1/trn2 and Trainium2 UltraServers, price-performance vs Nvidia H100/H200, the Neuron SDK, UltraClusters, and when to pick it over a GPU.
- AWS Inferentia — the complete inference-chip guideAWS Inferentia explained: inf1/inf2 instances, cost-per-token vs GPU, the Neuron SDK and which models port well, latency/throughput, and Inferentia vs GPU vs Bedrock.
Comparisons
- Amazon Bedrock vs SageMakerAmazon Bedrock (managed foundation-model API) vs SageMaker (full ML platform), compared neutrally: control vs speed, use cases each wins, skills, pricing, using both, and a verdict by scenario.
- Amazon Bedrock vs OpenAI APIBedrock vs OpenAI API, compared neutrally: model choice, pricing and cost at scale (worked math), latency, privacy/residency, IAM/VPC controls, regions, ecosystem, lock-in, migration, and a verdict.
- Amazon Bedrock vs Azure OpenAI ServiceBedrock vs Azure OpenAI Service, compared neutrally: models on each, pricing, regions, quotas/capacity, compliance, data handling, AWS-native vs Azure-native integration, and a verdict by scenario.
Credits & sandbox
More across Bedrock, SageMaker, Amazon Q & Nova
- Build an AI coding assistant on AWS — Q Developer vs customTwo routes to AI coding help on AWS: adopt Amazon Q Developer, or build a custom assistant on Bedrock (Claude + your codebase via RAG + tool use). When to use each, the architecture, cost, and security/IP.
- AI content moderation on AWS — the 2026 build guideModerate user-generated text, images, and video on AWS: Bedrock Guardrails + an LLM for text, Rekognition for image/video, Comprehend for PII — pipeline, severity tiers, review, and cost.
- AI data extraction on AWS — intelligent document processingExtract structured JSON from unstructured documents on AWS: Amazon Textract vs Bedrock Data Automation vs LLM-with-schema, the ingest→parse→extract→validate→review pipeline, tables, handwriting, confidence, and batch cost.
- How to summarize documents with AI on AWSBuild AI document summarization on AWS: parsing (Bedrock Data Automation/Textract), map-reduce vs long-context, model choice, batch inference for bulk, faithful-summary prompts, evaluation, and cost.
- How to build an AI image generator on AWSBuild an AI image generator on AWS via Amazon Bedrock: model choice (Stable Image, Nova Canvas, Titan), the InvokeModel API, prompting, editing, batch, S3 + CloudFront, cost per image, watermarking — and how AWS credits make it $0.
- AI meeting & call summarization on AWSBuild AI meeting & call summarization on AWS: Amazon Transcribe (diarization, Call Analytics) → Bedrock for summary, action items & sentiment. Real-time vs post-call, PII redaction, prompts, cost.
- How to add AI search to your app on AWSAdd semantic, vector, and hybrid search to your app on AWS: keyword vs semantic vs hybrid, the architecture, embeddings, vector stores, re-ranking, generative answers, relevance tuning, cost, and Amazon Kendra vs build.
- How to do AI translation on AWS — the 2026 how-toAI translation on AWS: Amazon Translate vs a Bedrock LLM, when to use each, the hybrid pattern, glossaries and custom terminology, human review, batch for bulk, cost, and the reference architecture.
- AI21 Jamba on Amazon Bedrock — 256K context, pricing & setupRun AI21 Jamba on Amazon Bedrock in 2026: the hybrid SSM-Transformer (Mamba) + MoE architecture, the 256K context window, model IDs + access, pricing, long-doc/RAG strengths, and how AWS credits make it $0.
- The Amazon Bedrock API — developer referenceBedrock API reference + quickstart: InvokeModel vs Converse vs ConverseStream, request/response shape, tool use, inference params, boto3 & JS SDKs, and throttling.
- Bedrock application inference profiles, explainedAmazon Bedrock application inference profiles for 2026: tag Bedrock usage by app, team, or cost center for cost tracking and governance — how they work, creating them, using them in Invoke/Converse, viewing cost in Cost Explorer/CUR, and chargeback.
- How much does a Bedrock chatbot cost — the worked exampleA worked-example cost model for a production Amazon Bedrock chatbot in 2026: the token math, a cost matrix across Nova Lite / Claude Haiku / Sonnet and low/med/high volume, plus caching, history truncation, and how AWS credits make it $0.
- The Amazon Bedrock console — a complete walkthroughA full walkthrough of the Amazon Bedrock console: model access, the Playgrounds, model catalog, evaluations, the Knowledge Bases / Agents / Guardrails / Flows builders, prompt management, billing — and when to switch to the API.
- Bedrock cost optimization — 9 levers that cut the billA FinOps playbook for Amazon Bedrock cost optimization in 2026: model routing, prompt caching, Batch, Provisioned Throughput break-even, output reduction, RAG, distillation, embeddings, and monitoring — ranked by impact, plus how AWS credits make it $0.
- AWS Bedrock Credits — run Bedrock at $0There is no Bedrock coupon — Bedrock is funded by AWS credit programs: Bedrock/GenAI POC ($10K–$50K), Activate (up to $100K), GenAI Accelerator (up to $1M). Who qualifies, the partner-filed mechanic, and how to run Bedrock at $0.
- Amazon Bedrock Custom Model Import — bring your own modelBedrock Custom Model Import in 2026: bring your fine-tuned open-weights model (Llama/Mistral/Flan-T5), the import workflow, serverless per-compute billing, cold starts, limits, import vs fine-tuning vs SageMaker, and how AWS credits make it $0.
- Amazon Bedrock Data Automation — unstructured to structuredReference guide to Amazon Bedrock Data Automation (BDA): turn documents, images, audio, and video into structured output via one API — standard output vs blueprints, RAG/Knowledge Bases, vs Textract/Comprehend, use cases, cost — and how AWS credits make it $0.
- Bedrock embeddings models — Titan vs CohereBedrock embeddings models compared: Titan Text Embeddings V2 vs Cohere Embed on dimensions, languages, normalization, retrieval quality, and vector-store cost.
- Amazon Bedrock free tier — is Bedrock free?Is there an Amazon Bedrock free tier? The honest 2026 answer: no standing free tier, pay-per-token from the first call. What the AWS Free Tier covers, free ways to experiment, the real cost, and how AWS credits make Bedrock $0.
- Bedrock PII redaction — detect, block & mask sensitive dataReference guide to PII redaction with Amazon Bedrock Guardrails: built-in entity types, custom regex, block vs mask, prompts + responses, Agents/RAG and ApplyGuardrail, HIPAA/PCI/GDPR, logging, testing, and cost.
- Bedrock Intelligent Prompt Routing — cut cost ~30%How Amazon Bedrock Intelligent Prompt Routing cuts cost 20–30%+ with minimal quality loss: response-quality prediction, the threshold, routers + the fallback model, supported families, and measuring savings.
- Amazon Bedrock Marketplace — 100+ specialized modelsBedrock Marketplace explained: reach 100+ specialized models through Bedrock, deploy to a managed endpoint vs. serverless, the deploy-and-invoke flow, instance-based billing, and when to use one.
- Amazon Bedrock model distillation — the full 2026 guideBedrock model distillation in 2026: transfer a large teacher model's quality into a small, cheap student, how it works, when it beats prompt caching/fine-tuning/RAG, a worked savings example, and how AWS credits make it $0.
- Amazon Bedrock model evaluation — the full 2026 guideBedrock model evaluation in 2026: automatic, human, and LLM-as-a-judge jobs; RAG retrieval + generation scoring; metrics like accuracy, faithfulness, toxicity; right-sizing a model — and how AWS credits make it $0.
- Amazon Bedrock models — the full 2026 catalogEvery model on Amazon Bedrock in 2026: Claude, Llama, Mistral, Nova, Titan, Cohere, Stability, AI21, DeepSeek — provider, modality, context window, best-for, and cost, plus how to choose.
- Bedrock On-Demand vs Provisioned ThroughputAmazon Bedrock on-demand vs Provisioned Throughput for 2026: per-token vs reserved model-unit billing, the break-even math with a worked example, latency guarantees, when each wins, the custom-model rule, where Batch fits, and how credits fund it $0.
- Bedrock + OpenSearch Serverless — the default vector storeReference guide to Amazon OpenSearch Serverless as the vector store behind Bedrock RAG: collection + k-NN setup, why Knowledge Bases use it by default, the OCU cost model + redundancy minimum, tuning, and vs Aurora pgvector / Pinecone.
- Amazon Bedrock Prompt Management — versioned promptsReference guide to Amazon Bedrock Prompt Management: creating prompts with variables, the catalog, testing variants, versions + aliases, integrating with Flows/Agents/Converse, governance vs hardcoding — and how AWS credits make it $0.
- Bedrock quotas & limits — the rate limits, explainedAmazon Bedrock quotas, explained for 2026: per-model RPM and TPM limits, the 429 ThrottlingException, how to request a quota increase, cross-region inference and Provisioned Throughput as throughput levers, backoff and queueing, and Batch for bulk.
- How much does a Bedrock RAG system cost?How much a Bedrock RAG system costs in 2026: the five line items, one-time embeddings, the vector-store baseline (OpenSearch Serverless minimums), per-query generation, a cost table by corpus size, and how AWS credits make it $0.
- Amazon Bedrock Regions — availability & residencyWhich Bedrock models run in which AWS Regions, how to choose a Region for residency, sovereignty, and latency, cross-region inference profiles, EU/US/APAC trade-offs, and GovCloud.
- Bedrock Runtime — control plane vs data plane`bedrock` (control plane: manage models, KBs, guardrails, agents, jobs) vs `bedrock-runtime` (data plane: InvokeModel/Converse — run inference). Which SDK client to use, agent/KB runtime clients, IAM split, and code.
- Amazon Bedrock security & compliance — how your data is protectedReference guide to Amazon Bedrock security and compliance: data privacy (no training on your data), KMS encryption, VPC/PrivateLink isolation, IAM, CloudTrail + invocation logging, HIPAA/SOC/PCI/ISO/FedRAMP, and Guardrails.
- Amazon Bedrock setup — the hands-on quickstartAWS Bedrock setup, step by step: install the AWS CLI + boto3, configure IAM credentials, enable model access, and make your first Converse API call — with streaming and error handling.
- Bedrock streaming & tool use — the Converse API guideHow Amazon Bedrock streaming (ConverseStream) and tool use / function calling work: parsing the event stream, the toolUse/toolResult loop, multi-tool, forced tool choice, combining both, and error handling.
- Amazon Bedrock token costs — input vs output, pricedHow Amazon Bedrock charges per token in 2026: what a token is, input vs output pricing (output is 3–5× pricier), a per-model table for Nova, Claude, Llama, Mistral, Cohere and Titan in per-1K and per-1M, how to estimate tokens, and how AWS credits make it $0.
- Amazon Bedrock vs the Anthropic APIBedrock vs the Anthropic API: same Claude, different platform. IAM/VPC, billing, data residency, rate limits, latency, caching/batch — and the AWS-credits asymmetry.
- Bedrock vs build your own LLM stack — build-vs-buyManaged Amazon Bedrock vs building your own LLM stack on AWS: the seven layers, a full TCO comparison, the dimensions that decide it, when DIY pays off, and a decision framework.
- Amazon Bedrock vs DatabricksAmazon Bedrock (managed foundation-model API) vs Databricks (data + ML lakehouse with Mosaic AI), compared neutrally: model access, data & governance, RAG/agents, fine-tuning, pricing, and a verdict.
- Amazon Bedrock vs Fireworks AIBedrock vs Fireworks AI, compared neutrally: model availability, pricing shape, latency/throughput, fine-tuning, compliance and data control, ecosystem, lock-in, a switch path, and a verdict.
- Amazon Bedrock vs GroqBedrock vs Groq, compared neutrally: LPU inference speed and latency, model availability, pricing shape, AWS-native security/residency, when ultra-low latency wins, a hybrid pattern, and a verdict.
- Amazon Bedrock vs Hugging FaceBedrock vs Hugging Face, compared neutrally: model breadth (open vs curated), managed vs self-managed ops, cost shape (per-token vs instance-hours), data control, fine-tuning, the AWS angle, and a verdict.
- Bedrock vs OpenAI — the cost comparisonBedrock vs OpenAI cost, compared: comparable-model mapping, per-1M-token rate tables, worked chatbot/RAG/batch scenarios, batch+caching levers, hidden costs, and why Bedrock spend is creditable.
- Amazon Bedrock vs OpenRouterBedrock vs OpenRouter, compared neutrally: model breadth, pricing and markup, data handling (third-party routing vs in-your-account), reliability/fallback, compliance, and a verdict.
- Amazon Bedrock vs ReplicateBedrock vs Replicate, compared neutrally: open-model breadth, pricing shape (per-second vs per-token), cold starts, data control and compliance, custom models, lock-in, migration, and a verdict.
- Amazon Bedrock vs self-hosted GPUAmazon Bedrock (per token, $0 idle) vs self-hosting an LLM on EC2 GPU/Inferentia (per instance-hour). Total cost, utilization break-even, ops, cold starts, and a decision table.
- Amazon Bedrock vs Together AIBedrock vs Together AI, compared neutrally: model availability, pricing math, fine-tuning, data control, compliance, IAM/VPC controls, migration, and a verdict.
- Amazon Bedrock vs Google Vertex AIBedrock vs Vertex AI, compared neutrally: model choice (Claude/Llama/Nova vs Gemini), pricing shape, regions, enterprise/compliance, AWS vs GCP integration, MLOps depth, lock-in, migration, and a verdict.
- Amazon Nova Act — agentic browser automation (2026)Amazon Nova Act explained: Amazon's agentic model + SDK for agents that take reliable actions in a web browser. The act() model, the reliability approach, use cases, vs Bedrock Agents, preview status — and how credits make it $0.
- Amazon Nova Canvas — image generation on BedrockAmazon Nova Canvas explained: AWS's image-generation model on Bedrock. Capabilities (text-to-image, inpainting, outpainting, background removal, conditioning), the model ID, per-image pricing, prompting, watermarking, vs Titan & Stable Diffusion — and how credits make it $0.
- Amazon Nova models — every tier comparedAmazon Nova models compared: Micro, Lite, Pro and Premier (text + multimodal) plus Canvas, Reel and Act. Capability, modality, context window, latency, price and best-fit per tier, a full comparison table, how to pick a tier, and Nova vs Claude/Llama on Bedrock.
- Amazon Nova Reel — video generation on BedrockAmazon Nova Reel explained: AWS's video-generation model on Bedrock. Text-to-video and image-to-video, durations/resolution, the async S3 job model, how to access, pricing per second, prompting, watermarking — and how credits make it $0.
- Amazon Nova vs Claude on Bedrock — cost vs qualityAmazon Nova vs Anthropic Claude on Bedrock: value vs frontier, tier-for-tier (Nova Lite/Pro vs Haiku/Sonnet, Premier vs Opus), capability by task, cost table, the "use both" router pattern — and how credits make it $0.
- Amazon Nova vs GPT — the honest 2026 comparisonAmazon Nova vs GPT, compared neutrally: capability by task, multimodal, context windows, availability on AWS (Nova native, GPT via Azure), cost with worked math, and a per-use-case verdict + decision table.
- Amazon Q Business vs Microsoft 365 CopilotAmazon Q Business vs Microsoft 365 Copilot, compared neutrally: data sources, where your data lives (AWS vs the Graph), grounding, permissions, pricing, customization, and a verdict by environment.
- Amazon Q Developer vs Business — which one do you need?Amazon Q Developer vs Q Business, settled: what each is, who it's for, capabilities, data sources, pricing, whether you can use both, and a pick-by-role decision table.
- Amazon Q in QuickSight — generative BI explainedAmazon Q in QuickSight: build dashboards from a prompt, executive summaries, natural-language data Q&A (Q Topics) & data stories — plus setup, pricing & readers.
- Amazon Q pricing — every tier, with the mathAmazon Q pricing: Q Developer Free vs Pro (~$19), Q Business Lite (~$3) vs Pro (~$20) + index cost, what each tier includes, a worked cost example, and vs Copilot.
- Amazon Q Developer vs CursorAmazon Q Developer vs Cursor, compared neutrally: extension vs AI-first editor, agents, model choice, AWS-native integration, security/IP, enterprise admin, pricing, and a verdict.
- SageMaker cost optimization — 10 levers that cut the billAmazon SageMaker cost optimization: ten levers — idle endpoints, serving mode, right-sizing, Spot training, Inferentia, Savings Plans — ranked by impact, plus how AWS credits make it $0.
- SageMaker endpoints — the four inference typesSageMaker endpoints explained: real-time, serverless, asynchronous, and batch transform — cost, latency, cold starts, autoscaling, multi-model endpoints, and how to deploy.
- Amazon SageMaker JumpStart — deploy & fine-tune open modelsSageMaker JumpStart explained: the model hub for deploying open models (Llama, Mistral) to your own endpoint, fine-tuning them, JumpStart vs Bedrock, cost, and credits.
- Amazon SageMaker Studio — the unified ML IDESageMaker Studio explained: what the unified ML IDE is, the interface, spaces and compute, collaboration, Studio vs notebooks vs local, cost, and how credits fund it.
- SageMaker training — train & fine-tune models on AWSSageMaker training explained: training jobs, estimators, built-in vs script mode vs your own container, distributed training, Spot, checkpoints, Warm Pools, HPO, vs Bedrock.
- Amazon SageMaker vs Google Vertex AISageMaker vs Vertex AI, compared neutrally: training, serving, notebooks, AutoML, MLOps/pipelines, pricing shape, AWS vs GCP ecosystem, foundation-model access, migration, and a verdict.
- Amazon Titan Image Generator on Bedrock (2026)Amazon Titan Image Generator on Bedrock in 2026: text-to-image plus inpainting, outpainting, background removal, invisible watermarking, per-image pricing, prompting, vs Nova Canvas & Stable Diffusion.
- Inferentia vs GPU — the inference cost decisionAWS Inferentia (inf2) vs Nvidia GPUs (G5/L4/P-series) for inference: cost-per-token and throughput, latency, the Neuron porting effort and model compatibility, when Inferentia wins vs GPU flexibility, vs Bedrock — with a decision table and verdict.
- AWS Neuron SDK — running LLMs on Trainium & InferentiaThe AWS Neuron SDK explained: compiler + runtime + tools, PyTorch NeuronX, transformers-neuronx, Optimum Neuron, the compile step, what porting really takes, and the pitfalls.
- Trainium vs GPU — the training-cost decisionAWS Trainium vs Nvidia GPUs (P5/H100/H200) for training: price-performance, availability, the Neuron SDK porting effort, ecosystem maturity, a decision table + verdict.
- Trainium vs Inferentia — which AWS AI chip for whatTrainium vs Inferentia explained: Trainium trains models (trn1/trn2), Inferentia serves them (inf1/inf2). When you need which, can Trainium do inference, the shared Neuron SDK, and a which-chip-for-what decision table.
- How to build a chatbot on AWS — the 2026 guideBuild an AI chatbot on AWS: the reference architecture (Bedrock model + API/Lambda, conversation memory, RAG, Guardrails, streaming), model choice, a step-by-step build, cost, and production concerns.
- How to build a recommendation engine on AWSBuild a recommendation engine on AWS: Amazon Personalize vs embeddings + vector search vs LLM re-ranking, a hybrid architecture, cold-start, real-time vs batch, cost, and a step-by-step.
- How to build an AI agent on AWS — the 2026 guideBuild an AI agent on AWS: managed Bedrock Agents vs a custom Converse tool-use loop (Lambda + Step Functions), defining tools, knowledge (RAG), memory, guardrails, observability, a step-by-step outline, and cost.
- Claude Haiku on Amazon Bedrock — the fast, cheap tierClaude Haiku on Amazon Bedrock: the cheapest, fastest Claude tier — pricing, model ID + access, when Haiku beats Sonnet/Opus, caching + Batch, and how AWS credits make it $0.
- Claude Opus on Amazon Bedrock — pricing & when it's worth itClaude Opus on Amazon Bedrock in 2026: the most capable Claude tier, its strengths, model ID + access, premium pricing with the caveat, when Opus beats Sonnet/Haiku, and how AWS credits make it $0.
- Claude Sonnet on Amazon Bedrock — the balanced defaultRun Claude Sonnet on Amazon Bedrock in 2026: the balanced workhorse for production, model ID + access, pricing, when to use Sonnet vs Opus vs Haiku, capabilities, cost tips, and how AWS credits make it $0.
- Claude vs Gemini on AWS — the AWS builder's comparisonClaude vs Gemini in 2026 for AWS teams: reasoning, coding, multimodal, long context, cost. The key fact — Gemini is a Google Cloud model, not on Bedrock, so Claude is the in-platform, credit-eligible pick.
- Claude vs GPT on Amazon Bedrock — the AWS builder's comparisonClaude vs GPT in 2026 for AWS teams: reasoning, coding, writing, vision, context, tool use, cost. The key fact — GPT isn't on Bedrock, so Claude is the in-platform, credit-eligible pick.
- Claude vs Llama on Amazon Bedrock — the honest decisionClaude vs Llama on Amazon Bedrock in 2026: quality, cost-per-token, fine-tuning, data control, when open weights matter, and latency — an honest per-use-case verdict, plus how AWS credits make it $0.
- Claude vs Mistral on Amazon Bedrock — quality vs efficiencyClaude vs Mistral on Amazon Bedrock in 2026: reasoning quality, cost/efficiency, context, multilingual, function calling, latency, open vs closed weights — plus a per-use-case verdict, decision table, and how AWS credits cover either for $0.
- Cohere on Amazon Bedrock — Command, Embed & RerankRun Cohere on Amazon Bedrock in 2026: Command, Embed (multilingual) and Rerank, model IDs + access, per-model pricing, Cohere vs Titan for RAG, and how AWS credits make it $0.
- DeepSeek on Amazon Bedrock — models, access & pricingRun DeepSeek on Amazon Bedrock in 2026: the R1 reasoning models, managed vs imported access, pricing, the data-governance answer, DeepSeek vs Claude/Llama, and how AWS credits make it $0.
- How to deploy an open-source LLM on AWSThree ways to run an open-weight LLM (Llama, Mistral, etc.) on AWS: Bedrock, SageMaker JumpStart, or self-host on GPU/Inferentia with vLLM/TGI. Tradeoffs, step-by-step, cost math.
- How to build document Q&A on AWS — the 2026 guideBuild a "chat with your documents" system on AWS: parse PDFs, scans & tables (Bedrock Data Automation, Textract), Bedrock Knowledge Bases vs DIY, citations, access control, cost.
- GenAI on AWS for ecommerce — use cases, architecture & costThe reference guide to generative AI on AWS for ecommerce: the six high-ROI use cases, the Bedrock architecture per use case, catalog-scale cost levers (batch + caching), privacy, and how AWS credits make it $0.
- GenAI on AWS for fintech — SOC 2 / PCI-DSSHow to build SOC 2 / PCI-DSS-ready generative AI on AWS for fintech: Bedrock no-training default, Guardrails PII/PAN redaction, KMS, PrivateLink, residency, safe use cases, auditability, model governance, and a reference architecture.
- GenAI on AWS for customer support — the 2026 CX referenceUse generative AI for customer support on AWS: self-service deflection, agent-assist, summarization + routing, sentiment, and voice — with Amazon Connect + Q in Connect + Bedrock, plus deflection ROI.
- GenAI on AWS for edtech — safe AI tutors, grading & content at scaleBuild GenAI for education on AWS: AI tutors, grading, content & translation on Bedrock — with safety for minors (Guardrails), accuracy, COPPA/FERPA, cost at scale, and how AWS credits make it $0.
- GenAI on AWS for enterprises — governance, FinOps & rolloutThe enterprise reference for generative AI on AWS: multi-account landing zones, governance (Guardrails, PrivateLink, residency, audit), FinOps + EDP, compliance, and a phased rollout roadmap.
- GenAI on AWS for gaming — the game-studio playbookA game-studio playbook for GenAI on AWS: NPCs, narrative, asset generation, moderation, localization — real-time latency, cost-at-scale, and $0 via AWS credits.
- GenAI on AWS for insurance — claims, underwriting & auditThe insurance reference for generative AI on AWS: claims & document extraction, underwriting assist, policy Q&A, fraud triage, support — with Guardrails grounding, human-in-the-loop, PII/PHI, and compliance.
- GenAI on AWS for legal — accuracy, privilege & architectureThe legaltech reference for generative AI on AWS: contract review, clause extraction, research RAG, due-diligence Q&A, drafting — with Guardrails grounding, citations, confidentiality, and human-in-the-loop.
- GenAI on AWS for media & entertainment — the 2026 referenceHow media & entertainment builds GenAI on AWS: use cases (tagging, captions/dubbing, clipping, Nova Canvas/Reel, archive search), the MediaConvert + Bedrock Data Automation pipeline, rights/watermarking, cost — made $0 with credits.
- GenAI on AWS for real estate & proptech — the 2026 referenceGenerative AI on AWS for real estate and proptech: listing copy, lead chatbots, property/document RAG, lease analysis, virtual staging — the Bedrock architecture, cost, and fair-housing guardrails.
- GenAI on AWS for SaaS — the multi-tenant 2026 playbookAdd GenAI to a multi-tenant SaaS on AWS: per-tenant isolation, cost attribution via inference profiles, rate-limiting, Guardrails, and how AWS credits make it $0.
- GenAI on AWS for startups — the cost-conscious 2026 playbookA cost-conscious playbook for startups building GenAI on AWS: the under-$500/mo Bedrock stack, the cost traps to avoid, Bedrock vs SageMaker, and how AWS credits make it $0.
- GenAI on AWS for healthcare — the HIPAA build guideBuild HIPAA-ready generative AI on AWS: Bedrock HIPAA eligibility + the BAA, PHI handling (Guardrails redaction, no-training, KMS, PrivateLink), clinical/admin architectures, audit, de-identification, and what NOT to do.
- AWS GenAI reference architectures — the 7 patternsThe seven canonical generative-AI reference architectures on AWS: simple chatbot, managed RAG, DIY RAG, agentic workflow, batch processing, fine-tuned/self-hosted, and enterprise platform — services, fit, and cost.
- How to access Amazon Bedrock — the 2026 setup guideAccess Amazon Bedrock step by step: enable model access in the console, set IAM permissions, choose a Region, request specific models, verify with a first call, and fix common access errors.
- Llama on Amazon Bedrock — models, pricing & fine-tuningMeta Llama on Amazon Bedrock (2026): the open-weights family by size, model access, per-size pricing, fine-tuning, Llama vs Claude vs Nova, and how AWS credits make it $0.
- How to fine-tune an LLM on AWS — the 2026 how-toFine-tune an LLM on AWS in 2026: Bedrock fine-tuning vs SageMaker training vs JumpStart, fine-tune vs RAG, data prep, the GPU/Trainium training cost, hosting the tuned model, and how AWS credits make it $0.
- Mistral on Amazon Bedrock — models, pricing & when to pick itRun Mistral on Amazon Bedrock in 2026: the Large + efficient model family, why Mistral (efficiency, multilingual, open weights), model IDs + access, per-model pricing, and how AWS credits make it $0.
- Multi-region Amazon Bedrock — resilience patternsMulti-region Amazon Bedrock for 2026: cross-region inference vs true active-active, Route 53 failover/latency routing, quota-aware routing, residency tradeoffs, cost, and when it is overkill.
- How to do sentiment analysis on AWSSentiment analysis on AWS: Amazon Comprehend vs a Bedrock LLM and when each wins, aspect-based sentiment, structured JSON, batch for bulk feedback, and cost.
- Stable Diffusion on Amazon Bedrock — models, pricing & promptingRun Stability AI image models on Amazon Bedrock in 2026: Stable Diffusion + Stable Image (Core/SD3.x/Ultra), per-image pricing, capabilities, prompting, vs Nova Canvas & Titan, and how AWS credits make it $0.
- How to add a voice AI assistant on AWSBuild a voice AI assistant on AWS: Amazon Transcribe → Bedrock → Polly, plus Lex and Connect. The architecture, the latency budget, barge-in, a step-by-step build, and the cost model.
- What is Amazon Q? — plain-English explainerAmazon Q in plain English: it's two products — Q Developer (AI coding) and Q Business (assistant over your data). What each solves, where they run, how they relate to Bedrock, and how to start.
- What is Amazon SageMaker? — plain-English explainerWhat is Amazon SageMaker? AWS's end-to-end ML platform explained simply: the problem it solves, build-train-deploy, what you can do, SageMaker vs Bedrock, how to start.