Cluster D · AWS AI & Amazon Bedrock
Building generative AI on AWS: the 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 guideAmazon Bedrock explained: the model catalog, model access and the Converse API, real pricing, Agents and AgentCore, security, and Bedrock vs SageMaker.
- What is Amazon Bedrock? Plain-English explainerAmazon Bedrock in plain English: what it is, what you can build, how it compares to ChatGPT, what it costs, and how to start.
- AWS Bedrock pricing per modelAmazon Bedrock prices checked on AWS on 10 Oct 2026: per-token rates for Claude 5.5, Nova, Llama and more, plus Batch, Flex, caching and monthly costs.
- Amazon Bedrock pricing calculatorEstimate an Amazon Bedrock bill: the token cost formula, chatbot, RAG and batch presets, Guardrails and knowledge base prices, and the levers that cut it.
Bedrock features
- Amazon Bedrock Agents: setup, AgentCore, costHow Amazon Bedrock Agents work: action groups, schemas, the orchestration loop, Knowledge Bases, memory, the trace, cost, gotchas, and Agents vs AgentCore.
- Amazon Bedrock Guardrails: setup guideAmazon Bedrock Guardrails explained: the six safeguards, PII masking, grounding checks, the ApplyGuardrail API, versions, compliance and 2026 pricing.
- Amazon Bedrock Knowledge Bases guideBedrock Knowledge Bases explained: managed vs customer-managed, connectors, chunking, vector stores, Retrieve vs RetrieveAndGenerate, and 2026 cost.
- Amazon Bedrock Flows: visual workflow builderHow Amazon Bedrock Flows works: node types, Flows vs LangChain and Step Functions, versions and aliases, testing, limits, cost and funding for the build.
- Amazon Bedrock fine-tuning: the 2026 guideFine-tuning on Amazon Bedrock: SFT vs reinforcement fine-tuning vs distillation, supported models, JSONL data, hosting (Provisioned or on-demand), cost.
Bedrock performance & cost
- Amazon Bedrock prompt cachingHow Amazon Bedrock prompt caching works: implicit vs explicit caching, checkpoints, TTLs, supported models, the savings math and why caches miss.
- Bedrock batch inference, explainedAmazon Bedrock batch inference: async bulk jobs at a 50% lower price for select models. JSONL in S3, CreateModelInvocationJob, models, quotas, cost math.
- Bedrock Provisioned ThroughputAmazon Bedrock Provisioned Throughput explained: model units, no-commit, 1-month and 6-month terms, custom models, and the break-even vs on-demand.
- Bedrock cross-region inference, explainedAmazon Bedrock cross-region inference: geographic vs global profiles, how to enable them, data residency, throughput, cost, and when to use one Region.
- How to build RAG on AWSBuild RAG on AWS: the reference architecture, Bedrock Knowledge Bases vs DIY, vector stores, embeddings, re-ranking, evaluation, cost and funding.
Foundation models
- Claude on Amazon BedrockClaude Haiku, Sonnet and Opus 5.5 on Amazon Bedrock, checked 10 Oct 2026: prices per token, model IDs, access steps and how AWS credits can pay.
- Amazon Titan models on Bedrock (2026)Amazon Titan on Bedrock in 2026: embeddings for RAG, the text and image models, which are still listed, pricing, and why Nova replaced Titan for text.
- Amazon Nova: the 2026 guideAmazon Nova in October 2026: Nova 2 Lite, Sonic and embeddings, the first-gen Micro to Premier, list prices, which models reached end of life, vs Claude.
- Amazon Nova pricing: every modelAmazon Nova prices checked on AWS: Micro, Lite, Pro, Premier and Nova 2 per 1M tokens, batch and cache rates, Canvas, Reel, and a worked example.
Amazon Q
- Amazon Q: the 2026 guideAmazon Q explained: Q Developer and Q Business, pricing, and what changed in 2026 (Q Business closed to new customers, Amazon Quick, Kiro).
- Amazon Q Developer: full guide and setupAmazon Q Developer guide: features, IDEs and languages, Free vs Pro pricing, setup, data handling, and the 2027 IDE plugin end of support (Kiro).
- Amazon Q Business: the enterprise data assistantAmazon Q Business explained: connectors, permission-aware retrieval, plugins, Lite vs Pro pricing, setup and security. Now closed to new customers.
- Amazon Q Developer vs GitHub CopilotAmazon Q Developer vs GitHub Copilot: completion, chat, agents, code transformation, security, IDEs, pricing, IP and a verdict by use case.
Amazon SageMaker
- Amazon SageMaker: the 2026 guideAmazon SageMaker AI explained: what it is, the naming change, components, the ML lifecycle, the four endpoint types, SageMaker vs Bedrock and pricing.
- Amazon SageMaker pricing (2026)SageMaker AI pricing: each cost component, October 2026 list prices for common instances, Savings Plans, Free Tier, two worked examples and cost levers.
AI silicon
- AWS Trainium: the training-chip guideAWS Trainium explained: Trn2 and Trainium3, AWS’s 30 to 40% price-performance claim vs P5e GPUs, the Neuron SDK, and when to pick it over a GPU.
- AWS Inferentia: the inference-chip guideAWS Inferentia explained: Inf1 and Inf2, AWS’s cost and throughput figures, which models port with the Neuron SDK, and Inferentia vs GPU vs Bedrock.
Comparisons
- Amazon Bedrock vs SageMakerAmazon Bedrock (managed model API) vs SageMaker AI (full ML platform): control vs speed, use cases, team fit, pricing, self-hosting costs and a verdict.
- Amazon Bedrock vs OpenAI APIBedrock vs the OpenAI API: model choice, cost math, privacy and residency, IAM and VPC controls, lock-in, migration, AWS credits, and a verdict.
- Amazon Bedrock vs Azure OpenAI ServiceBedrock vs Azure OpenAI Service compared: models, pricing, regions, quotas, compliance, data handling, AWS vs Azure integration, and a verdict by scenario.
Credits & sandbox
More across Bedrock, SageMaker, Amazon Q & Nova
- 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 with RAG and tool use. Architecture, cost, security.
- AI content moderation on AWS: the 2026 build guideBuild AI content moderation on AWS: Bedrock Guardrails and LLM classifiers for text, Rekognition for images and video, Comprehend for PII, review, cost.
- Intelligent document processing on AWSIntelligent document processing on AWS: Textract vs Bedrock Data Automation vs LLM extraction, the five-stage pipeline, tables, handwriting, review, cost.
- How to summarize documents with AI on AWSSummarize documents with AI on AWS: parsing with Data Automation or Textract, map-reduce vs long context, model choice, batch for corpora, and evaluation.
- Bedrock image generation: build guideImage generation on Amazon Bedrock: Stability AI vs Nova Canvas vs Titan, the InvokeModel API, prompting, editing, S3 and CloudFront, cost, watermarking.
- AI meeting and call summarization on AWSBuild AI meeting and call summarization on AWS: Transcribe with diarization, structured notes on Bedrock, PII redaction, post-call vs real-time, and cost.
- How to add AI search to your app on AWSAdd AI search on AWS: keyword vs semantic vs hybrid, Bedrock embeddings and vector stores, Amazon Kendra, re-ranking, relevance tuning and cost.
- How to do AI translation on AWS: the 2026 how-toAI translation on AWS: Amazon Translate vs a Bedrock LLM vs hybrid, glossaries and terminology, bulk batch jobs, quality review, cost, localization in CI.
- AI21 Jamba on Amazon Bedrock: status and migrationAI21 Jamba 1.5 on Amazon Bedrock: Legacy status and November 26, 2026 end of life, model IDs, the 256K context window, pricing, and what to move to.
- Amazon Bedrock API: developer referenceBedrock API reference and quickstart: InvokeModel vs Converse vs ConverseStream, request shape, tool use, inference params, boto3 and JS SDKs, throttling.
- Bedrock application inference profiles, explainedBedrock application inference profiles: tag usage by app, team or cost center, create one, call it, see the cost in Cost Explorer and the CUR.
- How much does a Bedrock chatbot cost — the worked exampleA worked cost model for an Amazon Bedrock chatbot: token math, a model by volume cost matrix, prompt caching, history truncation and hidden costs.
- The Amazon Bedrock console: a 2026 walkthroughAmazon Bedrock console walkthrough: model access in 2026, the Playgrounds, evaluations, the Knowledge Base, Agent, Guardrail and Flow builders, and IAM.
- Bedrock cost optimization: 9 levers that cut the billAmazon Bedrock cost optimization: model routing, prompt caching, batch, output limits, RAG, distillation and Provisioned Throughput, ranked by impact.
- AWS Bedrock creditsAWS Bedrock credits: Activate credits you apply for, or POC or IW funding a vetted partner files ($50K to $150K for startups). Claude included.
- Amazon Bedrock Custom Model Import: bring your own modelAmazon Bedrock Custom Model Import: supported architectures, the S3 import workflow, CMU billing in 5-minute windows, cold starts, limits, vs fine-tuning.
- Amazon Bedrock Data Automation (BDA) guideAmazon Bedrock Data Automation: turn documents, images, audio and video into structured output. Blueprints, Knowledge Bases, vs Textract, use cases, cost.
- Bedrock embeddings models: Titan vs CohereChoosing embeddings on Amazon Bedrock: Titan V2 vs Cohere Embed on dimensions, languages, normalization, retrieval quality, store cost and re-embedding.
- Is Amazon Bedrock free?Is there an Amazon Bedrock free tier? No token allowance, but Free Tier credits for new accounts, cheap models for tests, and how to fund a real build.
- Bedrock Guardrails PII redactionPII redaction with Amazon Bedrock Guardrails: entity types, custom regex, block vs mask, prompts and answers, ApplyGuardrail, HIPAA and PCI DSS, and cost.
- Bedrock Intelligent Prompt RoutingHow Amazon Bedrock Intelligent Prompt Routing picks between two models: the fallback model, the quality margin, supported models, price, limits.
- Amazon Bedrock Marketplace explainedBedrock Marketplace explained: specialized models behind the Bedrock API, managed endpoints vs serverless, instance billing and when to use it.
- Amazon Bedrock model distillationBedrock model distillation: how a large teacher model trains a small student, when it beats caching, fine-tuning or RAG, and a worked savings example.
- Amazon Bedrock model evaluationHow Amazon Bedrock model evaluation works: programmatic, human, model-as-a-judge and RAG jobs, datasets, metrics, cost, and picking the right model.
- Amazon Bedrock models: the catalogEvery model provider on Amazon Bedrock in October 2026, from Claude, Nova and OpenAI GPT to Llama, Mistral and Qwen, and how to choose a model.
- Bedrock On-Demand vs Provisioned ThroughputBedrock on-demand vs Provisioned Throughput: per-token vs model-unit billing, the break-even math, latency, the custom-model rule and where batch fits.
- Bedrock and OpenSearch vector searchOpenSearch Serverless as the vector store behind Bedrock RAG: collection and k-NN setup, the OCU cost model, tuning, and how it compares with pgvector.
- Amazon Bedrock Prompt managementHow Amazon Bedrock Prompt management works: variables, variants, testing, versions, calling a prompt from Converse or a Flow, optimization and cost.
- Amazon Bedrock quotas and limitsAmazon Bedrock quotas explained: tokens per minute, the max_tokens reservation, output burndown rates, throttling and how to get a quota increase.
- How much does a Bedrock RAG system cost?What a Bedrock RAG system costs: the five line items, one-time embeddings, the vector-store floor, per-query generation and managed knowledge base pricing.
- Amazon Bedrock Regions and residencyWhich Bedrock models run in which AWS Regions, how to pick one for residency and latency, cross-Region inference, and EU, US, APAC and GovCloud options.
- Bedrock runtime vs control planeThe bedrock control plane (manage models, knowledge bases, guardrails, agents) vs bedrock-runtime (InvokeModel, Converse): clients, IAM and code.
- Amazon Bedrock security and complianceHow Amazon Bedrock protects your data: no provider access, encryption, PrivateLink, IAM, logging, HIPAA, SOC and ISO scope, and a security checklist.
- Amazon Bedrock setup quickstartAWS Bedrock setup, step by step: AWS CLI and boto3, IAM credentials, model access, and your first Converse API call with streaming and error handling.
- Bedrock streaming and tool useHow Bedrock streaming (ConverseStream) and tool use work: the event stream, the toolUse and toolResult loop, multi-tool calls, forced tool choice, errors.
- Amazon Bedrock token costs: input vs output, pricedHow Amazon Bedrock bills tokens: what a token is, why output costs more than input, a per-model table per 1K and 1M, and how to estimate your bill.
- Amazon Bedrock vs the Anthropic APISame Claude, different platform: IAM, VPC, billing, data residency, rate limits and latency compared, and why AWS credits only apply to Claude on Bedrock.
- 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, when DIY pays off, and a decision framework.
- Amazon Bedrock vs DatabricksAmazon Bedrock (managed model API) vs Databricks (data and ML lakehouse with Mosaic AI): model access, governance, RAG, fine-tuning, pricing and a verdict.
- Amazon Bedrock vs Fireworks AIBedrock vs Fireworks AI compared: model availability, pricing, latency, fine-tuning, compliance and data control, lock-in, a switch path and a verdict.
- Amazon Bedrock vs GroqBedrock vs Groq compared: LPU speed and latency, model availability, pricing, AWS-native security and residency, hybrids, and a verdict by scenario.
- Amazon Bedrock vs Hugging FaceBedrock vs Hugging Face compared: open vs curated models, managed vs self-run ops, per-token vs instance-hour cost, data control and a verdict.
- Bedrock vs OpenAI: the cost comparisonBedrock vs OpenAI cost compared: model mapping, per-1M-token rates, chatbot, RAG and batch scenarios, discount levers, hidden costs and AWS credits.
- Amazon Bedrock vs OpenRouterBedrock vs OpenRouter: model breadth, fees and pricing, data handling, fallback, governance, plus Groq, Together, Fireworks, Replicate and Hugging Face.
- Amazon Bedrock vs ReplicateBedrock vs Replicate compared: open-model breadth, per-second vs per-token pricing, cold starts, data control, custom models, lock-in and a verdict.
- Amazon Bedrock vs self-hosted GPUAmazon Bedrock (per token, nothing when idle) vs self-hosting an LLM on EC2 GPU or Inferentia: total cost, break-even, ops, cold starts and a verdict.
- Amazon Bedrock vs Together AIBedrock vs Together AI compared: model availability, pricing math, fine-tuning, data control, compliance, IAM and VPC controls, migration and a verdict.
- Amazon Bedrock vs Google Vertex AIBedrock vs Vertex AI: Claude, Llama and Nova vs Gemini, pricing, regions, governance, AWS vs GCP integration, MLOps, and funding a GCP to AWS move.
- Amazon Nova Act: agentic browser automation (2026)Amazon Nova Act explained: the AWS service for agents that act in a web browser. The act() model, reliability, use cases, Bedrock Agents and limits.
- Amazon Nova Canvas: image generation on BedrockAmazon Nova Canvas explained: AWS's image model on Bedrock. Text-to-image, editing, per-image pricing, watermarking, and vs Titan and Stable Diffusion.
- Amazon Nova models: every tier comparedAmazon Nova models compared: Micro, Lite, Pro, Premier, Canvas, Reel, Act and the Nova 2 models. Capability, context, latency, price and best fit per tier.
- Amazon Nova Reel: video generation on BedrockAmazon Nova Reel explained: AWS's video model on Bedrock. Text-to-video, image-to-video, async S3 jobs, per-second pricing, prompting and watermarks.
- Amazon Nova vs Claude on BedrockAmazon Nova vs Claude on Bedrock: October 2026 list prices, tier-for-tier fit, which wins by task, and the router pattern most teams use.
- Amazon Nova vs GPT: the honest 2026 comparisonAmazon Nova vs OpenAI GPT: capability by task, multimodal, context windows, availability on AWS, cost with worked math, and a verdict by use case.
- Amazon Q Business vs Microsoft 365 CopilotAmazon Q Business vs Microsoft 365 Copilot: data sources, where your data lives, permissions, pricing and a verdict. Q Business is closed to new customers.
- Amazon Q Developer vs Business: which one do you need?Amazon Q Developer vs Q Business: what each is, who it is for, data sources, pricing, using both, and 2026 status changes (Kiro, Amazon Quick).
- Amazon Q in QuickSight: generative BI explainedAmazon Q in QuickSight: dashboards from a prompt, executive summaries, data Q&A with Q Topics, data stories, setup and pricing. Now part of Amazon Quick.
- Amazon Q pricing: every tier, with the mathAmazon Q pricing: Q Developer Free vs Pro ($19), Q Business Lite ($3) vs Pro ($20) plus index cost, a worked example, and how Q compares to Copilot.
- Amazon Q Developer vs CursorAmazon Q Developer vs Cursor: extension vs AI-first editor, agents, model choice, AWS integration, security, admin, pricing and a verdict.
- SageMaker cost optimization: 10 levers that cut the billSageMaker cost optimization: ten levers (idle endpoints, serving mode, right-sizing, Spot, Inferentia, Savings Plans) ranked by impact, plus funding.
- SageMaker endpoints: the four inference typesSageMaker endpoints explained: real-time, serverless, asynchronous and batch transform. Cost, latency, cold starts, autoscaling and how to deploy.
- Amazon SageMaker JumpStart: deploy and fine-tune open modelsSageMaker JumpStart explained: the model hub for deploying open models (Llama, Mistral) to your own endpoint, fine-tuning, JumpStart vs Bedrock and cost.
- Amazon SageMaker Studio: the unified ML IDESageMaker Studio explained: the ML IDE, its interface, spaces and compute, collaboration, Studio vs notebooks vs local, and what the compute costs.
- SageMaker training: train and fine-tune models on AWSSageMaker training explained: training jobs, estimators, script mode vs your own container, distributed training, Spot, checkpoints, Warm Pools and HPO.
- Amazon SageMaker vs Google Vertex AISageMaker vs Vertex AI: training, serving, notebooks, AutoML, MLOps, pricing shape, foundation-model access, migration and a verdict for each.
- Amazon Titan Image Generator on Bedrock (2026)Amazon Titan Image Generator on Bedrock: text-to-image, inpainting, outpainting, watermarking, per-image pricing, and its 2026 availability status.
- Inferentia vs GPU — the inference cost decisionAWS Inferentia (Inf2) vs Nvidia GPUs for inference: cost per token, throughput, latency, Neuron porting, when each wins, and where Bedrock fits.
- AWS Neuron SDK — running LLMs on Trainium & InferentiaThe AWS Neuron SDK explained: compiler, runtime and tools, PyTorch NeuronX, Optimum Neuron, the compile step, what porting takes, and the pitfalls.
- Trainium vs GPU — the training-cost decisionAWS Trainium vs Nvidia GPUs for training: AWS’s 30 to 40% price-performance claim, availability, Neuron porting, ecosystem, and a decision table.
- Trainium vs Inferentia — which AWS AI chip for whatTrainium vs Inferentia: Trainium trains (and serves large models), Inferentia serves. When you need which, the shared Neuron SDK, and a which-chip table.
- How to build a chatbot on AWS — the 2026 guideBuild an AI chatbot on AWS: Bedrock models, the API layer, memory, RAG grounding, Guardrails, streaming, cost, and who files AWS funding for the build.
- How to build a recommendation engine on AWSBuild a recommendation engine on AWS: Amazon Personalize, Bedrock embeddings, a hybrid funnel, cold start, real-time vs batch, and who files AWS funding.
- How to build an AI agent on AWS — the 2026 guideBuild an AI agent on AWS: Bedrock Agents, AgentCore or a custom Converse loop, tools, RAG, memory, guardrails, cost, and who files AWS funding.
- Claude Haiku on Amazon Bedrock — the fast, cheap tierClaude Haiku on Amazon Bedrock: the cheapest, fastest Claude tier. Pricing, model ID, when Haiku beats Sonnet or Opus, and who files AWS funding.
- Claude Opus on Amazon Bedrock — pricing & when it's worth itClaude Opus on Amazon Bedrock: the most capable Claude tier, model ID, premium pricing, when Opus beats Sonnet or Haiku, and who files AWS funding.
- Claude Sonnet on Amazon Bedrock — the balanced defaultClaude Sonnet on Amazon Bedrock: the balanced default tier, model ID and access, pricing, Sonnet vs Opus vs Haiku, cost tips, and who files AWS funding.
- Claude vs Gemini on AWS — the AWS builder's comparisonClaude vs Gemini for AWS teams in 2026: reasoning, coding, multimodal, long context and cost. Gemini is not on Amazon Bedrock; Claude is.
- Claude vs GPT on Amazon BedrockClaude vs GPT for AWS teams in 2026: both now run on Amazon Bedrock. Per-task verdicts on coding, reasoning, writing, context, tools and cost.
- Claude vs Llama on Amazon Bedrock — the honest decisionClaude vs Llama on Amazon Bedrock: quality, cost per token, fine-tuning, data control and latency, with a per-use-case verdict and who files AWS funding.
- Claude vs Mistral on Amazon Bedrock — quality vs efficiencyClaude vs Mistral on Amazon Bedrock: reasoning, cost, context, multilingual, tools and latency, with a per-use-case verdict and who files AWS funding.
- Cohere on Amazon Bedrock — Command, Embed & RerankCohere on Amazon Bedrock: Command, Embed and Rerank, model IDs and access, per-model pricing, Cohere vs Titan for RAG, and who files AWS funding.
- DeepSeek on Amazon Bedrock — models, access & pricingDeepSeek on Amazon Bedrock: R1 reasoning models, managed vs imported access, pricing, data governance, vs Claude or Llama, and who files AWS funding.
- How to deploy an open-source LLM on AWSDeploy an open-weight LLM on AWS: Bedrock, SageMaker JumpStart or self-hosted vLLM and TGI, the cost math at your traffic, and who files AWS funding.
- How to build document Q&A on AWS — the 2026 guideBuild document Q&A on AWS: Bedrock Knowledge Bases vs DIY, parsing, vector stores, citations, access control, cost, and who files AWS funding.
- GenAI on AWS for ecommerce — use cases, architecture & costGenerative AI on AWS for ecommerce: six high-ROI use cases, the Bedrock architecture, catalog-scale cost levers, privacy, and who files AWS funding.
- GenAI on AWS for fintech: SOC 2 and PCI DSSBuild SOC 2 and PCI DSS-ready GenAI on AWS for fintech: data controls, Guardrails PII and PAN redaction, safe use cases, audit trail, model governance.
- GenAI on AWS for customer support: the CX referenceGenerative AI for customer support on AWS: self-service deflection, agent-assist, summarization, sentiment and voice with Amazon Connect and Bedrock.
- GenAI on AWS for edtech: safe AI tutors, grading and contentGenAI for education on AWS: AI tutors, grading, content and translation on Bedrock, with safety for minors, accuracy, COPPA, FERPA and cost.
- GenAI on AWS for enterprises: governance, FinOps and rolloutGenerative AI on AWS for enterprises: multi-account landing zones, governance, FinOps and EDP, compliance, and a phased rollout from sandbox to platform.
- GenAI on AWS for gaming: the game-studio playbookA game-studio playbook for GenAI on AWS: NPCs, narrative, asset generation, moderation and localization, with real-time latency and cost at scale.
- GenAI on AWS for insurance: claims, underwriting and auditGenerative AI for insurance on AWS: claims and document extraction, underwriting assist, policy Q&A, fraud triage and support, with grounding and audit.
- GenAI on AWS for legal: accuracy, privilege and architectureGenAI for legal on AWS: contract review, clause extraction, research RAG, due-diligence Q&A and drafting, with grounding, citations and privilege.
- GenAI on AWS for media and entertainmentHow media and entertainment teams build GenAI on AWS: tagging, captions and dubbing, clipping, Nova Canvas and Reel, archive search, rights and cost.
- GenAI on AWS for real estate and proptechGenAI on AWS for real estate and proptech: listing copy, lead chatbots, document RAG, lease analysis and virtual staging, with fair-housing guardrails.
- GenAI on AWS for SaaS: the multi-tenant playbookAdd GenAI to a multi-tenant SaaS on AWS: per-tenant isolation, cost attribution with inference profiles, rate-limiting, Guardrails and who files funding.
- GenAI on AWS for startups: stack, cost and fundingBuild GenAI on AWS as a startup: a low-cost Bedrock stack, cost traps, Bedrock vs SageMaker, and who files AWS funding (partner POC or IW vs Activate).
- GenAI on AWS for healthcare: the HIPAA build guideBuild HIPAA-ready GenAI on AWS: Bedrock eligibility and the BAA, PHI handling (KMS, PrivateLink, Guardrails), clinical architectures and de-identification.
- AWS GenAI reference architectures: the 7 patternsThe seven GenAI reference architectures on AWS: chatbot, managed RAG, DIY RAG, agentic workflow, batch, fine-tuned or self-hosted, and enterprise platform.
- How to access Amazon Bedrock: setup guideHow to access Amazon Bedrock now: default model access, IAM and Marketplace permissions, the Anthropic use-case form, Region choice and access errors.
- Llama on Amazon Bedrock: models, pricing and fine-tuningMeta Llama on Amazon Bedrock: the open-weights family by size, model access, per-size pricing, fine-tuning, Llama vs Claude vs Nova, and who files funding.
- How to fine-tune an LLM on AWSFine-tune an LLM on AWS: Bedrock fine-tuning vs SageMaker training vs JumpStart, fine-tune vs RAG, data prep, GPU and Trainium training cost, and hosting.
- Mistral on Amazon Bedrock: models, pricing and when to pick itRun Mistral on Amazon Bedrock: the Large and efficient model family, why Mistral (efficiency, multilingual, open weights), model access, per-model pricing.
- Multi-region Amazon Bedrock: resilience patternsMulti-region Amazon Bedrock: cross-region inference vs active-active, Route 53 failover, residency tradeoffs, cost, and when it is overkill.
- How to do sentiment analysis on AWSSentiment analysis on AWS: Amazon Comprehend vs a Bedrock LLM, aspect-based sentiment, structured JSON, batch for bulk feedback, and cost.
- Stable Diffusion on Amazon Bedrock: models, pricing and promptingRun Stability AI image models on Amazon Bedrock: Stable Diffusion and Stable Image (Core, SD3.x, Ultra), per-image pricing, prompting, vs Nova Canvas.
- How to add a voice AI assistant on AWSBuild a voice AI assistant on AWS with Transcribe, Bedrock and Polly, plus Lex and Connect: architecture, latency, barge-in, build steps and cost.
- What is Amazon Q? Plain-English explainerAmazon Q in plain English: two products, Q Developer (AI coding) and Q Business (an assistant over your data). What each does, and the link to Bedrock.
- What is Amazon SageMaker? Plain-English explainerAWS's end-to-end machine-learning platform explained simply: the problem it solves, build-train-deploy, SageMaker vs Bedrock, and how to start.