Find and compare the best Artificial Intelligence software for Alibaba Cloud in 2026
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Use the comparison tool below to compare the top Artificial Intelligence software for Alibaba Cloud on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.
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Qwen2.5-1M
Alibaba
FreeQwen2.5-1M, an open-source language model from the Qwen team, has been meticulously crafted to manage context lengths reaching as high as one million tokens. This version introduces two distinct model variants, namely Qwen2.5-7B-Instruct-1M and Qwen2.5-14B-Instruct-1M, representing a significant advancement as it is the first instance of Qwen models being enhanced to accommodate such large context lengths. In addition to this, the team has released an inference framework that is based on vLLM and incorporates sparse attention mechanisms, which greatly enhance the processing speed for 1M-token inputs, achieving improvements between three to seven times. A detailed technical report accompanies this release, providing in-depth insights into the design choices and the results from various ablation studies. This transparency allows users to fully understand the capabilities and underlying technology of the models. -
2
Databricks
Databricks
The Databricks Data Intelligence Platform empowers every member of your organization to leverage data and artificial intelligence effectively. Constructed on a lakehouse architecture, it establishes a cohesive and transparent foundation for all aspects of data management and governance, enhanced by a Data Intelligence Engine that recognizes the distinct characteristics of your data. Companies that excel across various sectors will be those that harness the power of data and AI. Covering everything from ETL processes to data warehousing and generative AI, Databricks facilitates the streamlining and acceleration of your data and AI objectives. By merging generative AI with the integrative advantages of a lakehouse, Databricks fuels a Data Intelligence Engine that comprehends the specific semantics of your data. This functionality enables the platform to optimize performance automatically and manage infrastructure in a manner tailored to your organization's needs. Additionally, the Data Intelligence Engine is designed to grasp the unique language of your enterprise, making the search and exploration of new data as straightforward as posing a question to a colleague, thus fostering collaboration and efficiency. Ultimately, this innovative approach transforms the way organizations interact with their data, driving better decision-making and insights. -
3
Darktrace
Darktrace
Darktrace Behavioral Defense Platform is an AI-powered cybersecurity platform designed to secure modern enterprises in the AI era. The platform provides unified visibility, continuous behavioral monitoring, and autonomous response across AI, people, and infrastructure. Darktrace uses Adaptive AI to continuously learn how an organization normally behaves across users, systems, relationships, AI interactions, and operational patterns. This behavioral understanding helps security teams identify anomalies, detect novel threats, and respond with speed and precision. The Secure AI capabilities help organizations monitor AI adoption, prompts, agents, development activity, and Shadow AI. The Secure People capabilities protect email and collaboration environments from phishing, account compromise, and other human-centered risks. The Secure Infrastructure capabilities help detect, investigate, and contain threats across network, cloud, identity, endpoint, and operational technology environments. Real-Time AI Analyst supports AI-driven detection, investigation, triage, response, prioritization, and reporting for security teams. By combining behavioral profiling, cross-domain visibility, autonomous response, AI security, email protection, infrastructure defense, and SOC support, Darktrace helps enterprises improve security outcomes in real time. -
4
Alibaba Image Search
Alibaba Cloud
Alibaba Cloud Image Search is an advanced service designed to assist users in locating similar or identical images efficiently. Utilizing cutting-edge machine learning and deep learning technologies, this tool allows users to either capture a screenshot or upload an image to discover desired products and address various search inquiries. It empowers customers to leverage product images in order to search through an extensive image library, enhancing their shopping journey. This capability streamlines the process and is particularly beneficial in contexts that require content-based image retrieval (CBIR). Following the image search, the system intelligently suggests identical or similar products, enriching the product recommendation experience. Consequently, this feature significantly enhances customer satisfaction by making their shopping experience more intuitive and enjoyable. -
5
PyTorch
PyTorch
Effortlessly switch between eager and graph modes using TorchScript, while accelerating your journey to production with TorchServe. The torch-distributed backend facilitates scalable distributed training and enhances performance optimization for both research and production environments. A comprehensive suite of tools and libraries enriches the PyTorch ecosystem, supporting development across fields like computer vision and natural language processing. Additionally, PyTorch is compatible with major cloud platforms, simplifying development processes and enabling seamless scaling. You can easily choose your preferences and execute the installation command. The stable version signifies the most recently tested and endorsed iteration of PyTorch, which is typically adequate for a broad range of users. For those seeking the cutting-edge, a preview is offered, featuring the latest nightly builds of version 1.10, although these may not be fully tested or supported. It is crucial to verify that you meet all prerequisites, such as having numpy installed, based on your selected package manager. Anaconda is highly recommended as the package manager of choice, as it effectively installs all necessary dependencies, ensuring a smooth installation experience for users. This comprehensive approach not only enhances productivity but also ensures a robust foundation for development. -
6
Graviti
Graviti
The future of artificial intelligence hinges on unstructured data. Embrace this potential now by creating a scalable ML/AI pipeline that consolidates all your unstructured data within a single platform. By leveraging superior data, you can develop enhanced models, exclusively with Graviti. Discover a data platform tailored for AI practitioners, equipped with management capabilities, query functionality, and version control specifically designed for handling unstructured data. Achieving high-quality data is no longer an unattainable aspiration. Centralize your metadata, annotations, and predictions effortlessly. Tailor filters and visualize the results to quickly access the data that aligns with your requirements. Employ a Git-like framework for version management and facilitate collaboration among your team members. With role-based access control and clear visual representations of version changes, your team can collaborate efficiently and securely. Streamline your data pipeline using Graviti’s integrated marketplace and workflow builder, allowing you to enhance model iterations without the tedious effort. This innovative approach not only saves time but also empowers teams to focus on creativity and problem-solving. -
7
Happy Horse
Alibaba
Happy Horse is an AI-powered video creation platform built for users who want to generate and edit cinematic video content from prompts and visual references. The platform allows creators to start with text, a reference input, or a first frame, then generate video assets based on their creative direction. Users can also modify video details through editing tools that help refine motion, style, and output. Happy Horse is designed around imagination-driven creation, helping users capture fleeting ideas and turn them into watchable video projects. Its featured gallery highlights AI cinema, short films, experimental visuals, and community-made creative work. The platform also promotes events such as the AI Cinema Awards, giving creators a place to showcase AI-generated storytelling. Users can access credits for video generation, including free credits for signing in and special promotional offers. Happy Horse supports both casual experimentation and more polished creative production for digital artists and video makers. Happy Horse helps creators move from inspiration to finished video faster with flexible generation inputs and built-in editing capabilities. -
8
ZOOOP
ZOOOP
ZOOOP is an innovative creative platform tailored for creators and film production teams, seamlessly integrating advanced AI video, image, and audio technologies into a single streamlined workflow. Designed for those who wish to harness AI in their creative endeavors without the hassle of managing multiple tabs, subscriptions, and disjointed tools for various media assets, ZOOOP simplifies the process. It elevates content generation to a core aspect of creativity, ensuring that each AI-generated image, video clip, and audio track is managed within a unified Generative Canvas. This cohesive workspace allows for a fluid transition between tasks, enabling creators to progress from scripting to storyboarding and shot refinement without the need for repetitive exporting and re-uploading. The platform's AI video toolkit is comprehensive, offering features such as text-to-video conversion, image-to-video transformation, first and last-frame interpolation, video extension, section editing, camera motion management, and AI-driven lip sync capabilities. With ZOOOP, the creative process becomes not only more efficient but also more enjoyable, empowering creators to focus on their artistry. -
9
Qwen3.8-27B
Alibaba
Qwen3.8-27B is a newly announced 27-billion-parameter model from Alibaba’s Qwen3.8 series, designed as a more compact open-weight alternative to the significantly larger Qwen3.8-Max. The Qwen3.8 generation represents a cutting-edge family of models aimed at enhancing coding capabilities, performing agentic tasks, achieving multimodal comprehension, and managing prolonged autonomous operations. The introduction of the 27B variant aims to provide a size that facilitates more practical local deployment, hands-on experimentation, fine-tuning, and smoother integration into developers' workflows. Qwen has confirmed that this model will be released with open weights, thereby enriching the company’s collection of downloadable mid-sized models tailored for users seeking direct control over their inference and deployment processes. At the time of its announcement, however, Qwen had yet to provide essential information such as the model card, benchmark metrics, architectural specifics, context length, quantization methods, or comprehensive deployment instructions for the 27B version. This lack of detailed guidance raises questions among potential users eager to explore the model's capabilities.