AWS Account Number: What is Amazon Bedrock? The ultimate artifact of DeepSeek-R1 and Claude 3.5 without server one-click call

cloud 2026-06-03 阅读 16

Big model technology is changing with each passing day. The front foot was just

Claude 3.5

The series is extremely stunning in programming and logic, and the back foot is an epoch-making open source full-blood reasoning model.

DeepSeek-R1

Fire all over the world.

For developers and enterprise teams, the pain points of connecting these top models to their own business systems are very obvious:

With open source models (such as DeepSeek-R1): you need to buy your own expensive A100/H100 graphics server, but also toss a variety of complex reasoning deconstruction framework, computing power expansion and high concurrency optimization, operation and maintenance costs are high.

Using commercial API (such as Anthropic official): Although it eliminates the trouble of servers, it faces big holes in China, such as network instability, high threshold for bill payment, and core data security (unable to pass intranet compliance audit).

If you also face these dilemmas, then it's time to learn about this managed artifact--

Amazon Bedrock

Simply put, Amazon Bedrock is the Amazon Cloud (AWS)

Generated AI Fully Managed Service

. Its biggest killer is:

The server is completely eliminated, and only a unified API is needed to call the strongest model lineup of the whole network, including DeepSeek-R1 Full Blood Edition, Claude 3.5 Family Barrel, Amazon Nova, Llama 3, etc.

Core Principle: How cool is Amazon's "serverless" Bedrock?

Traditional cloud model deployment (such as using SageMaker or self-built cloud servers), you are essentially renting "computing power". You need to guess how many GPUs you should buy based on the amount of concurrency.

And Amazon Bedrock play

Serverless (Serverless)

The logic:

With Bedrock, you no longer have to deal with any specific GPU hardware. AWS made all of these top models

Fully managed backend public pool

Call on demand, charge on demand: your business system sends a request (such as a piece of code optimization prompt),Bedrock spits out the result, AWS charges a few cents or thousands of dollars based on the Input/Output Token you consume. When there is no request, the cost is directly zeroed.

Unlimited expansion: no matter whether your APP is 10 concurrent today or suddenly explodes to 100000 concurrent tomorrow, the computing flexibility at the bottom is all automatically topped up by AWS in the background with the huge resources of the global computer room. you don't need to write a line of automatic expansion script.

Unified API format: changing models is like changing skin. Today you are using Claude 3.5 Sonnet, tomorrow you want to change to DeepSeek-R1 to try reasoning ability, just need to change a mo in the code.

The string parameter of delId, the overall business architecture and data structure, and even a punctuation mark do not need to be changed.

Together: DeepSeek-R1 and Claude 3.5 on the Bedrock

Why is it the ultimate artifact of the moment? Because Bedrock put the "king of engineering/code" with the strongest closed source and the "king of deep reasoning" with the strongest open source under the same roof.

DeepSeek-R1 (full blood version): Bedrock officials directly hosted the full blood version of the DeepSeek-R1. It is extremely amazing in mathematics, complex logic, code algorithm design, and unique "deep thinking (Thinking Process)" will be a complete output. Calling it on the Bedrock completely bid farewell to the local deployment of the video memory explosion (OOM) problem.

Claude 3.5 Family Barrel (Sonnet / Haiku): The language model recognized as the most knowledgeable developer in the industry. Whether it's Artifacts front-end generation, extremely complex context understanding, or efficient multi-step workflow automation, Claude 3.5 is the first choice for enterprise-level commercial landing.

On the Bedrock, you can easily achieve both

Multi-model routing orchestration (Router)

. For example: simple customer service dialogue to low-cost, fast response

Claude 3.5 Haiku

; encountered complex code architecture refactoring directly routed

Claude 3.5 Sonnet

In the event of extremely brain-burning algorithmic logic or financial audit analysis, a one-click call is made.

DeepSeek-R1

Let it "think" out of the optimal solution.

Get Started: Three Steps to Unlock Your Bedrock Model

Many teams think that accessing AWS must have a set of extremely complicated processes, but in fact, the threshold for Bedrock to get started is extremely low.

Step 1: Turn on Model Access

Due to compliance and the capacity of computer rooms in various regions of the world, the newly opened AWS account does not unlock the third-party model by default.

After entering the Bedrock console, scroll the left menu to the bottom and find Model access.

Click Manage model access in the upper-right corner of the page.

Tick the model you need in the list (e. g. Anthropic -> Claude 3.5 Sonnet and DeepSeek -> DeepSeek-R1).

Click OK to submit, usually within a few minutes, the permission status of these models will turn into a green Granted (authorized).

Step 2: Use the console to Playground the zero code test.

Before writing the code, you can try their shades in the console:

On the left menu, click Playgrounds -> Chat.

Click Select model and select the DeepSeek-R1 you just unlocked.

Enter your brain-burning puzzle directly. You will find that thanks to the huge infrastructure of AWS, the response speed and stability of the full-blood version R1 are industrial-grade.

Step 3: Call directly with Python code

When you want to integrate them into your Python backend or Agent framework, you only need to use AWS's official SDK.

boto3

. Let's look at a minimalist unified call code:

Look, there is no complicated initialization of computing power and no video card driver upgrade. With less than 30 lines of code, you can use the two top "AI beasts" in the world as your own.

Core Security Barrier: Why Big Businesses Are More Willing to Run Big Models on Bedrock?

For enterprises, especially users who need to deal with sensitive business and are involved in overseas compliance (such as GDPR and HIPAA), data security is an absolutely untouchable red line. If the third-party interface of the public network is directly adjusted, the risk of data being taken for secondary training is extremely high.

The Amazon Bedrock gives

The ultimate enterprise-class data safe mechanism

Absolute data isolation: All your prompts (Prompt), model-generated answers, and any fine-tuning data trained by Bedrock are locked in your dedicated VPC (virtual private cloud) in AWS forever.

Never for public training: Amazon Cloud officials promise in black and white that any data you enter or leave the Bedrock will never be used by AWS, Anthropic or DeepSeek officials as iterative training materials for the base model.

Direct Intranet Connection (AWS PrivateLink): Your business server and Bedrock model can communicate with each other completely without going through the Internet public network, and all go through the intranet dedicated line of AWS internal backbone network, thus completely cutting off the possibility of data being intercepted in the middle.

Summary

Amazon Bedrock completely upended the day-to-day engineering paradigm of big models. It breaks the traditional logic of "closed source big model to buy services, open source big model to buy graphics cards", and makes the optimal solution of the whole network into an extremely refreshing

Public tap water at infrastructure level

You no longer have to worry about hardware out of stock or lose your hair over high video card idle bills. Through Bedrock serverless one-click calls, you can put 100% of your energy into designing more sophisticated Agent business processes and product innovations.

Go to your AWS console now and click Be

Drock, this is definitely the last thing you want to miss when you go to sea or build AI native applications this year.