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Amazon Web Services Alternatives with focus on Compute & AI in '24

Amazon Web Services Alternatives with focus on Compute & AI in '24Amazon Web Services Alternatives with focus on Compute & AI in '24

Over the past twelve months, the cloud market has grown to represent a $247 billion opportunity. Amazon Web Services (AWS) stands as the market leader.1  Since its foundation, AWS has led the shift in the enterprise ecosystem from on-premise infrastructures to cloud-based solutions. 

While AWS is a dominant vendor in the cloud computing arena, factors such as costs, deep learning and compute capabilities or specific service requirements can lead businesses to search for alternatives. In this article, we will provide detailed information on these alternatives and the factors that may influence your decision-making process.

AWS and top 5 competitors

VendorDatabase Services OfferedCompute ServicesNetworking CapabilitiesDatacenter & Cloud Infrastructure ReachAI & Machine LearningDeveloper Options
Amazon Web ServicesPostgreSQL
MySQL
MariaDB
Oracle Database
Microsoft SQL
23+ services including VMs, containers and capacity management19+ solutions including VPCs & VPN & CDN & DNS245+ countries
33+ regions
-Generative AI building -Generating ML predictions without writing any code -Training and deploying ML models
13+ services including: AWS Cloud9: Lets you write codes with a browser AWS CodeBuild: Compiles codes and run tests
Alibaba CloudPostgreSQL
MySQL
NoSQ
ApsaraDB
PolarDB
8+ services including VMs and bare metal computes & infrastructure control
6+solutions including VPN, VCN, CEN & CDN200+ countries

30+ regions
9+ solutions including:

-speech recognition
-model training
-machine translation
Function compute: offers serverless code writing & automated build, test, and deployment processes.
Google Cloud PlatformCloudSQL
NoSQL
PostgreSQL
MySQL
AlloyDB

15+ services including VMs-Cloud Armor for protection
-Cloud CDN & VPN services
200+countries

39 regions
-Vertex AI: search & conversations -Contact Center AI -Duet AI: code generation
-Cloud Code: writing & running codes -Cloud build: building & testing
IBM CloudPostgreSQL
MySQL
NoSQL
IoT
MongoDB
11+ services including VMs and infrastructure control9+ solutions including VPN & DNS & CDN17+ countries

9+ regions
9+ solutions including: – training & validating ML models -data & AI workflow management
IBM watsonx code assistant: code writing recommendations
Microsoft Azure
NoSQL
PostgreSQL
MySQL
MariaDB

10+ services including VMs20+ solutions including VPN & CDN & DNS140+ countries

60+regions
-Automated ML: algorithm identification

-Responsible AI: Model building
-DevOps for ML: CI/CD ML pipelines and model management. -Tool-agnostic Python SDK
Oracle CloudPostgreSQL
MySQL
NoSQL
AutonomousDB
6+ services including VMs and bare metal computes8+ solutions including VPN, VCN, FastConnect, DNS & CDN24+ countries

48+ regions
11+ solutions including:

-building ML models
-data labeling
-chatbots
8+ services including: -code editor -CLI (command line interface) -automated testing

Vendors are sorted out according to alphabetical order. Only representative services are provided in the AI & Machine learning and developer options sections in the table.

4 AWS alternatives in LLM hosting

VendorMarket ValuePricingType of Service
Salesforce$257 blnN/AProvides own LLM’s as an API: ✅
OpenAI$8 blnInput: $0.01 /1K tokens
Output: $0.03 / 1K tokens*
Provides own LLM’s as an API: ✅
Hugging Face$4.5 bln
Pro: $9
Enterprise: $20**
Provides own LLM’s as an API: ✅
Cohere$2,200MInput: $1.00 /1M Tokens
Output: $2.00 /1M Tokens**
Provides own LLM’s as an API: ✅

This table shows popular alternatives to AWS in LLM hosting and their pricing options. It is also worth mentioning notable competitors such as Google (offering various products) and Microsoft (such as AutoGen).

*OpenAI has a wide price scale.2

**Hugging Face offers various price options for different services.3

***Cohere offers different prices for 6 different plans.4 

5 AWS Alternatives in AI image generation

VendorCapabilitiesPricing
Adobe Fireflytext-to-image generation
image expansion
sketch-to-image
US$4.99/mo
DALL-EConcept blend
Style blend
Canvas expand
$15 for 115 credits
Fotor AI
Photography
Conceptual art
Anime
Cartoon
Oil painting
Pro: US$8.99/month
Fotor Pro+ US$ 19.99 /month
Jasper ArtCustomization
Watermark-free
Creator:$49/month
Teams: $125/month
MidjourneyDiscord use
Multiple prompts & blend
Basic: $10/mo
Standart: $30/mo
Pro: $60/mo
Mega: $120/mo

Vendors are sorted according to alphabetical order.

5 AWS alternatives in computer vision

VendorNumber of reviewsRating
Dataloop AI604.4
Clarifai294.5
Labelbox284.7
Ango Hub114.8
Innotescus104.8

Vendors are sorted according to the number of reviews they got from major review platforms such as G2, Capterra5  , and Trustradius.

AWS overview

AWS’s unique role in the market is underscored by its comprehensive suite of 200+ fully-featured services from data centers globally. It supports different scale of businesses, including large enterprises, emerging startups, and public sector organizations, with a strong commitment to security and compliance.

Amazon Web Services (AWS) is a dominant force in the world of cloud computing, It offers a wide array of services that meet diverse needs in areas such as computing. Here, give a glance at some of the significant products of AWS in CPU-bound compute, GPU-bound compute, data management, AI & deep learning.

CPU-bound compute services:

AWS offers 20+ products just in computing. Yet, it is possible to divide them according to use areas. In CPU-bound computing, 2 products step further:

Amazon EC2 (Elastic Compute Cloud): A central piece of AWS’s cloud computing platform, EC2, through a web interface, offers resizable compute capacity in the cloud. It’s designed to make web-scale cloud computing easier for developers. The product allows users to choose among 10 instance types (on-demand, c7g and more), operating systems, and software packages. EC2 offers 2 services in itself:

  • Auto scaling: Allows you to maintain application availability and automatically add or remove instances on will. You can also reach fleet management capabilities offered by Amazon through auto scaling.
  • Image builder: Streamlines the process of creating, testing, and deploying VM and container images.

AWS Lambda: Lambda is AWS’s event-driven, serverless computing platform. It runs code in response to events and automatically manages the computing resources required by that code. This service stands out for its ability to offer cloud management without the need for server provisioning. Lambda can allocate CPU power in proportion to the amount of memory needed.

GPU-bound compute services:

For tasks requiring high-performance graphics and computing power, AWS offers:

Amazon EC2 P3 instances: These instances are designed for GPU-based workloads and are ideal for machine learning, high-performance computing, and 3D visualizations. They are significant for their high-performance NVIDIA Tesla V100 GPUs.

Amazon Elastic Graphics. Elastic graphics allows users to attach low-cost graphics acceleration to a wide range of EC2 instances.

Data management services:

In the realm of data handling and storage, AWS offers:

Amazon S3 (Simple Storage Service): A scalable, high-speed, web-based cloud storage service designed for online backup and archiving of data and application programs. S3 stands out for its durability, availability, and scalability, distinguishing AWS in the cloud services market.

Amazon RDS (Relational Database Service): This service makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks.

AI & deep learning services:

AWS offers 13+ services in AI and deep learning. 2 of them are:

Amazon SageMaker: SageMaker is a fully managed product that provides developers and data scientists the ability to build, train, and deploy machine learning (ML) models. (Figure 1) It integrates with the most common ML frameworks, toolkits, and programming languages. According to AWS, SageMaker gets 1.5 trillion+ inference requests per month.6

Source: AWS. https://aws.amazon.com/sagemaker/

AWS DeepLens: DeepLense engages in computer vision projects and tutorials, and through a tangible device. Product allows you to execute deep learning models directly on the camera, enabling it to process and respond to its visual inputs (Figure 2).7Through the management console, users can send ML models built in SageMaker to DeepLens.

Source: AWS https://docs.aws.amazon.com/deeplens/latest/dg/how-it-works.html

AWS pricing 

VendorPricing
AWS EC2Custom
AWS Lambda6 different types*
AWS Elastic Graphics7 different regions**
Amazon S36 services & 31 different regions***
AWS RDSCustom
Amazon SageMaker4 different plans for 18 services****
AWS DeepLens$249

AWS products are very diverse and there are services within the products themselves. For this reason, in this table we have only included the products mentioned in this article. 

*Lambda offers 6 different plans.8

**AWS Elastic Graphics offers different prices in 7 different regions.9

***AWS S3 offers different prices in 31 different regions.10 

****AWS SageMaker offers 4 different plans for 18 services.11

AWS leads the market

AWS’s leadership in the cloud environment can be not limited to but attributed to several factors:

Service range: AWS offers an extensive range of cloud services that cover virtually every aspect of cloud computing needs, from basic cloud storage and networking to complex machine learning and AI services.

Scalability and flexibility: AWS provides scalable cloud computing solutions that can grow with the needs of a business. Its flexible pricing models can also make it a popular option.

Global reach: AWS has a vast global network of data centers, which ensures low latency and high performance for its cloud services worldwide.

Ecosystem and community: AWS has a large and active community of developers, partners, and customers, contributing to a rich ecosystem of support, tools, and resources.

Key things to consider while choosing an AWS alternative

Price: Compare the cost-effectiveness of different services.

Data sovereignty: Understand data storage locations and compliance with local regulations.

Avoiding proprietary services: Choose services that won’t lock you into a specific vendor, facilitating easier transitions in the future.

Infrastructure as a Service (IaaS): Assess the flexibility and scalability of the IaaS offerings.

Further reading

Access Cem's 2 decades of B2B tech experience as a tech consultant, enterprise leader, startup entrepreneur & industry analyst. Leverage insights informing top Fortune 500 every month.
Cem Dilmegani
Principal Analyst
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Burak Ceylan
Burak is an Industry Analyst in AIMultiple. He received his Masters' degree in Political Science from Middle East Technical University. He has background in researching location-based platforms.

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