Find and compare the best Artificial Intelligence software for Cirrascale in 2024
Sort:
Use the comparison tool below to compare the top Artificial Intelligence software for Cirrascale on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.
Need help deciding?
Talk to one of our software experts for free. They will help you select the best software for your business.
-
1
TensorFlow
TensorFlow
Free 2 RatingsOpen source platform for machine learning. TensorFlow is a machine learning platform that is open-source and available to all. It offers a flexible, comprehensive ecosystem of tools, libraries, and community resources that allows researchers to push the boundaries of machine learning. Developers can easily create and deploy ML-powered applications using its tools. Easy ML model training and development using high-level APIs such as Keras. This allows for quick model iteration and debugging. No matter what language you choose, you can easily train and deploy models in cloud, browser, on-prem, or on-device. It is a simple and flexible architecture that allows you to quickly take new ideas from concept to code to state-of the-art models and publication. TensorFlow makes it easy to build, deploy, and test. -
2
TorchScript allows you to seamlessly switch between graph and eager modes. TorchServe accelerates the path to production. The torch-distributed backend allows for distributed training and performance optimization in production and research. PyTorch is supported by a rich ecosystem of libraries and tools that supports NLP, computer vision, and other areas. PyTorch is well-supported on major cloud platforms, allowing for frictionless development and easy scaling. Select your preferences, then run the install command. Stable is the most current supported and tested version of PyTorch. This version should be compatible with many users. Preview is available for those who want the latest, but not fully tested, and supported 1.10 builds that are generated every night. Please ensure you have met the prerequisites, such as numpy, depending on which package manager you use. Anaconda is our preferred package manager, as it installs all dependencies.
-
3
Lightning AI
Lightning AI
$10 per creditOur platform allows you to create AI products, train, fine-tune, and deploy models on the cloud. You don't have to worry about scaling, infrastructure, cost management, or other technical issues. Prebuilt, fully customizable modular components make it easy to train, fine tune, and deploy models. The science, not the engineering, should be your focus. Lightning components organize code to run on the cloud and manage its own infrastructure, cloud cost, and other details. 50+ optimizations to lower cloud cost and deliver AI in weeks, not months. Enterprise-grade control combined with consumer-level simplicity allows you to optimize performance, reduce costs, and take on less risk. Get more than a demo. In days, not months, you can launch your next GPT startup, diffusion startup or cloud SaaSML service. -
4
H2O.ai
H2O.ai
H2O.ai, the open-source leader in AI and machinelearning, has a mission to democratize AI. Our enterprise-ready platforms, which are industry-leading, are used by thousands of data scientists from over 20,000 organizations worldwide. Every company can become an AI company in financial, insurance, healthcare and retail. We also empower them to deliver real value and transform businesses. -
5
SambaNova
SambaNova Systems
Dataflow-as-a-Service helps you to rapidly deploy models to accelerate AI workloads. We offer comprehensive services, models, platform, and support to enable you to deploy custom solutions with complete confidence. Fully managed, expert application services will help you save 12-18 months and get up to speed quickly. To deploy machine learning of the highest quality, you don't need to be a superscaler. Your machine learning team should be focusing on strategic initiatives and not repetitive and mundane work. Continuous updates keep you up-to-date with the latest developments in machine learning. We keep you up-to-date with the most current models and algorithmic techniques. Your data can be used to create customized solutions with the highest accuracy. Our technology and expertise will help you become an AI leader. Designed to augment the expertise of your machine learning team, Dataflow-as-a-Service provides best-in-class solutions to meet your unique requirements. -
6
Graphcore
Graphcore
With our cloud partners, you can build, train, and deploy your models in cloud using the most recent IPU AI systems and frameworks. This allows you to scale up to large IPU compute seamlessly, while saving on compute costs. Get started with IPUs today by getting on-demand pricing and tiers free of charge from our cloud partners. Our Intelligence Processing Unit (IPU), technology is expected to become the global standard for machine intelligence computing. The Graphcore IPU will have a transformative impact across all industries and sectors. It has the potential to have a real positive societal impact, from drug discovery to disaster recovery to decarbonization. The IPU is an entirely new processor that was specifically designed for AI computation. AI researchers can use the IPU's unique architecture to do completely new types of work that are not possible with current technologies. This will allow them to drive the next generation in machine intelligence. -
7
Cerebras
Cerebras
We have built the fastest AI acceleration, based on one of the largest processors in the industry. It is also easy to use. Cerebras' blazingly fast training, ultra-low latency inference and record-breaking speed-to-solution will help you achieve your most ambitious AI goals. How ambitious is it? How ambitious? -
8
ONNX
ONNX
ONNX defines a set of common operators - the building block of machine learning and deeper learning models – and a standard file format that allows AI developers to use their models with a wide range of frameworks, runtimes and compilers. You can use your preferred framework to develop without worrying about downstream implications. ONNX allows you to use the framework of your choice with your inference engine. ONNX simplifies the access to hardware optimizations. Use runtimes and libraries compatible with ONNX to optimize performance across hardware. Our community thrives in our open governance structure that provides transparency and inclusion. We encourage you to participate and contribute. -
9
PaddlePaddle
PaddlePaddle
PaddlePaddle is built on Baidu's decades of deep learning technology research. It integrates deep learning core framework and basic model library, end to end development kit, tool components, and service platform. It was officially released open-source in 2016. It is an industry-level deep-learning platform that integrates open source, leading technology and complete functions. The flying paddle is a result of industrial practice. It has always been committed towards in-depth integration with industry. Flying paddles are used in industry, agriculture, as well as service industries. They have served 3.2 million developers and work with partners to help more industries achieve AI empowerment. -
10
NVIDIA DRIVE
NVIDIA
Software is what transforms a vehicle into a smart machine. Open source software stack NVIDIA DRIVE™, enables developers to quickly build and deploy a variety state-of the-art AV applications. This includes perception, localization, mapping, driver monitoring, planning and control, driver monitoring and natural language processing. DRIVE OS, the foundation of the DRIVE SoftwareStack, is the first secure operating system for accelerated computation. It includes NvMedia to process sensor input, NVIDIACUDA®, libraries for parallel computing implementations that are efficient, NVIDIA TensorRT™ for real time AI inference, as well as other tools and modules for accessing hardware engines. NVIDIA DriveWorks®, a SDK that provides middleware functions over DRIVE OS, is essential for autonomous vehicle development. These include the sensor abstraction layer (SAL), sensor plugins, data recorder and vehicle I/O support.
- Previous
- You're on page 1
- Next