Alternatives to Paperspace

Compute Engine (IaaS), a platform from Google that allows organizations to create and manage cloud-based virtual machines, is an infrastructure as a services (IaaS). Computing infrastructure in predefined sizes or custom machine shapes to accelerate cloud transformation. General purpose machines (E2, N1,N2,N2D) offer a good compromise between price and performance. Compute optimized machines (C2) offer high-end performance vCPUs for compute-intensive workloads. Memory optimized (M2) systems offer the highest amount of memory and are ideal for in-memory database applications. Accelerator optimized machines (A2) are based on A100 GPUs, and are designed for high-demanding applications. Integrate Compute services with other Google Cloud Services, such as AI/ML or data analytics. Reservations can help you ensure that your applications will have the capacity needed as they scale. You can save money by running Compute using the sustained-use discount, and you can even save more when you use the committed-use discount.

Inuvika OVD Enterprise is a desktop virtualization solution that gives users secure access to their apps and virtual desktops from anywhere. Inuvika embraces the zero-trust principle, ensuring secure access and leaving no data on user devices. OVD Enterprise reduces complexity for admin and lowers the total cost of ownership by up to 60% when compared to Citrix or VMware/Omnissa Horizon. It can be deployed on-premise or through any private of public cloud platform provider. It is also available as a DaaS service through our network of Managed Services Providers. OVD is easy to install and manage. It integrates with leading enterprise standards, including any directory service, storage and hypervisors such as Proxmox VE, vSphere, Nutanix AHV and Hyper-V. Key Features: Use any device, including macOS, Windows, Linux, iOS/Android, Chromebook, Raspberry Pi, or any HTML5 Web browser. Multi-tenancy support Integrated Two-Factor Authentication Integrated Gateway enables secure remote access without a VPN Single Web-based Admin console Deploys on Linux so most Microsoft Windows server and SQL server licenses are not required. Hypervisor agnostic - ProxmoxVE, Hyper-V, vSphere, KVM, Nutaxix AVH and more.

Parallels® RAS meets you where you are in your virtualization journey—bridging on-premises and multi-cloud solutions into a centralized management console for administrators and a secure virtual work environment for end users. Enjoy an all-in-one digital workspace and remote work solution that provides secure virtual access to business applications and desktops on any device or OS—from anywhere. Agile, cloud-ready foundation and end-to-end security fueled by a centralized management console with granular policies is at your fingertips. Take advantage of on-premises, hybrid, or public cloud deployments and integrate with existing technology like Microsoft Azure and AWS. Gain the flexibility, scalability, and IT agility you need to quickly adapt to changing business needs. Best of all, Parallels RAS offers a single, full-featured licensing model that includes 24/7 support and access to free training.

V2 Cloud delivers secure, high-performance, and fully managed cloud desktops you can access from anywhere, anytime. Our solution is designed for Independent Software Vendors, MSPs, IT managers, and business leaders aiming to simplify infrastructure, increase data protection, and scale with ease. Seamlessly start using desktops and apps in the cloud with V2 Cloud to enable secure remote work from any location. Benefit from end-to-end IT services, proactive threat defense, and responsive support for resilient business operations. Run demanding software smoothly with GPU-accelerated virtual machines built for performance and stability. Enjoy fast, expert-level assistance and global multilingual support. See how easy and affordable desktop virtualization can be. Get started with V2 Cloud today.

Kasm Workspaces streams your workplace environment directly to your web browser…on any device and from any location. Kasm is revolutionizing the way businesses deliver digital workspaces. We use our open-source web native container streaming technology to create a modern devops delivery of Desktop as a Service, application streaming, and browser isolation. Kasm is more than a service. It is a platform that is highly configurable and has a robust API that can be customized to your needs at any scale. Workspaces can be deployed wherever the work is. It can be deployed on-premise (including Air-Gapped Networks), in the cloud (Public and Private), or in a hybrid.

RunPod provides a cloud infrastructure that enables seamless deployment and scaling of AI workloads with GPU-powered pods. By offering access to a wide array of NVIDIA GPUs, such as the A100 and H100, RunPod supports training and deploying machine learning models with minimal latency and high performance. The platform emphasizes ease of use, allowing users to spin up pods in seconds and scale them dynamically to meet demand. With features like autoscaling, real-time analytics, and serverless scaling, RunPod is an ideal solution for startups, academic institutions, and enterprises seeking a flexible, powerful, and affordable platform for AI development and inference.

CoreWeave stands out as a cloud infrastructure service that focuses on GPU-centric computing solutions specifically designed for artificial intelligence applications. Their platform delivers scalable, high-performance GPU clusters that enhance both training and inference processes for AI models, catering to sectors such as machine learning, visual effects, and high-performance computing. In addition to robust GPU capabilities, CoreWeave offers adaptable storage, networking, and managed services that empower AI-focused enterprises, emphasizing reliability, cost-effectiveness, and top-tier security measures. This versatile platform is widely adopted by AI research facilities, labs, and commercial entities aiming to expedite their advancements in artificial intelligence technology. By providing an infrastructure that meets the specific demands of AI workloads, CoreWeave plays a crucial role in driving innovation across various industries.

Amazon Elastic Compute Cloud (Amazon EC2) is a cloud service that offers flexible and secure computing capabilities. Its primary aim is to simplify large-scale cloud computing for developers. With an easy-to-use web service interface, Amazon EC2 allows users to quickly obtain and configure computing resources with ease. Users gain full control over their computing power while utilizing Amazon’s established computing framework. The service offers an extensive range of compute options, networking capabilities (up to 400 Gbps), and tailored storage solutions that enhance price and performance specifically for machine learning initiatives. Developers can create, test, and deploy macOS workloads on demand. Furthermore, users can scale their capacity dynamically as requirements change, all while benefiting from AWS's pay-as-you-go pricing model. This infrastructure enables rapid access to the necessary resources for high-performance computing (HPC) applications, resulting in enhanced speed and cost efficiency. In essence, Amazon EC2 ensures a secure, dependable, and high-performance computing environment that caters to the diverse demands of modern businesses. Overall, it stands out as a versatile solution for various computing needs across different industries.

TensorFlow is a comprehensive open-source machine learning platform that covers the entire process from development to deployment. This platform boasts a rich and adaptable ecosystem featuring various tools, libraries, and community resources, empowering researchers to advance the field of machine learning while allowing developers to create and implement ML-powered applications with ease. With intuitive high-level APIs like Keras and support for eager execution, users can effortlessly build and refine ML models, facilitating quick iterations and simplifying debugging. The flexibility of TensorFlow allows for seamless training and deployment of models across various environments, whether in the cloud, on-premises, within browsers, or directly on devices, regardless of the programming language utilized. Its straightforward and versatile architecture supports the transformation of innovative ideas into practical code, enabling the development of cutting-edge models that can be published swiftly. Overall, TensorFlow provides a powerful framework that encourages experimentation and accelerates the machine learning process.

Empower your workforce with secure and adaptable solutions by leveraging the top provider in virtual applications and desktops. You can effortlessly deliver desktop as a service (DaaS) from any cloud or data center. Begin your journey with Citrix DaaS (previously known as Citrix Virtual Apps and Desktops service) within minutes, ensuring that your users enjoy a seamless and high-performance digital workspace. We take care of the infrastructure and security aspects, allowing you to concentrate on driving your business forward. Address the requirements of your contemporary workforce while safeguarding sensitive information. Citrix DaaS enables you to create a secure workspace experience accessible from any device. This approach offers all the benefits associated with a managed DaaS solution, in addition to enhanced IT flexibility, improved corporate security, and increased productivity for end-users. By protecting applications and data, you can boost employee efficiency and develop a robust business continuity strategy with scalable workspace solutions. Streamline the delivery of virtual applications and desktops using reliable DaaS options that have been tested and proven in the field. Not only does this simplify operations, but it also positions your organization for future growth and success.

Hyperstack, the ultimate self-service GPUaaS Platform, offers the H100 and A100 as well as the L40, and delivers its services to the most promising AI start ups in the world. Hyperstack was built for enterprise-grade GPU acceleration and optimised for AI workloads. NexGen Cloud offers enterprise-grade infrastructure for a wide range of users from SMEs, Blue-Chip corporations to Managed Service Providers and tech enthusiasts. Hyperstack, powered by NVIDIA architecture and running on 100% renewable energy, offers its services up to 75% cheaper than Legacy Cloud Providers. The platform supports diverse high-intensity workloads such as Generative AI and Large Language Modeling, machine learning and rendering.

Vast.ai offers the lowest-cost cloud GPU rentals. Save up to 5-6 times on GPU computation with a simple interface. Rent on-demand for convenience and consistency in pricing. You can save up to 50% more by using spot auction pricing for interruptible instances. Vast offers a variety of providers with different levels of security, from hobbyists to Tier-4 data centres. Vast.ai can help you find the right price for the level of reliability and security you need. Use our command-line interface to search for offers in the marketplace using scriptable filters and sorting options. Launch instances directly from the CLI, and automate your deployment. Use interruptible instances to save an additional 50% or even more. The highest bidding instance runs; other conflicting instances will be stopped.

Salad enables gamers to earn cryptocurrency during their idle time by utilizing the power of their GPUs. Transform your computing capabilities into credits that can be used for purchases of your favorite items. Our Store offers a variety of options including subscriptions, games, gift cards, and many more. Simply download our free mining application and let it run while you're away from your keyboard to accumulate Salad Balance. By participating, you contribute to a more decentralized internet by providing essential infrastructure for distributing computing resources. To simplify things—your computer does much more than just generate income. At Salad, our team is dedicated to supporting not only blockchain initiatives but also various distributed projects such as machine learning and data processing. Engage in surveys, complete quizzes, and test applications through platforms like AdGate, AdGem, and OfferToro. Once you've accumulated sufficient balance, feel free to redeem exciting items from the Salad Storefront. Your Salad Balance can be spent on a range of products, including Discord Nitro, Prepaid VISA Cards, Amazon Credit, or Game Codes, enhancing your overall experience. Join the community and start making the most out of your downtime today!

Sesterce is a leading provider of cloud-based GPU services for AI and machine learning, designed to power the most demanding applications across industries. From AI-driven drug discovery to fraud detection in finance, Sesterce’s platform offers both virtualized and dedicated GPU clusters, making it easy to scale AI projects. With dynamic storage, real-time data processing, and advanced pipeline acceleration, Sesterce is perfect for organizations looking to optimize ML workflows. Its pricing model and infrastructure support make it an ideal solution for businesses seeking performance at scale.

SC//Platform delivers faster time to value in the data centre, distributed enterprise, or at the edge. Scale Computing Platform combines simplicity, high availability, and scalability. It replaces the existing infrastructure and provides high availability for running VMs on a single, easy to manage platform. Fully integrated platform for running your applications. No matter what your hardware requirements are, the same innovative software and user interface gives you the ability to manage infrastructure efficiently at the edge. Reduce administrative tasks and save valuable time for IT administrators. SC//Platform's simplicity directly impacts IT productivity and costs. You can't predict the future, but you can plan for it. Mix and match old and newly developed hardware and applications to create a future-proof environment that can scale as needed.

Amazon EC2 Capacity Blocks for Machine Learning allow users to secure accelerated computing instances within Amazon EC2 UltraClusters specifically for their machine learning tasks. This service encompasses a variety of instance types, including Amazon EC2 P5en, P5e, P5, and P4d, which utilize NVIDIA H200, H100, and A100 Tensor Core GPUs, along with Trn2 and Trn1 instances that leverage AWS Trainium. Users can reserve these instances for periods of up to six months, with cluster sizes ranging from a single instance to 64 instances, translating to a maximum of 512 GPUs or 1,024 Trainium chips, thus providing ample flexibility to accommodate diverse machine learning workloads. Additionally, reservations can be arranged as much as eight weeks ahead of time. By operating within Amazon EC2 UltraClusters, Capacity Blocks facilitate low-latency and high-throughput network connectivity, which is essential for efficient distributed training processes. This configuration guarantees reliable access to high-performance computing resources, empowering you to confidently plan your machine learning projects, conduct experiments, develop prototypes, and effectively handle anticipated increases in demand for machine learning applications. Furthermore, this strategic approach not only enhances productivity but also optimizes resource utilization for varying project scales.

The Elastic Fabric Adapter (EFA) serves as a specialized network interface for Amazon EC2 instances, allowing users to efficiently run applications that demand high inter-node communication at scale within the AWS environment. By utilizing a custom-designed operating system (OS) that circumvents traditional hardware interfaces, EFA significantly boosts the performance of communications between instances, which is essential for effectively scaling such applications. This technology facilitates the scaling of High-Performance Computing (HPC) applications that utilize the Message Passing Interface (MPI) and Machine Learning (ML) applications that rely on the NVIDIA Collective Communications Library (NCCL) to thousands of CPUs or GPUs. Consequently, users can achieve the same high application performance found in on-premises HPC clusters while benefiting from the flexible and on-demand nature of the AWS cloud infrastructure. EFA can be activated as an optional feature for EC2 networking without incurring any extra charges, making it accessible for a wide range of use cases. Additionally, it seamlessly integrates with the most popular interfaces, APIs, and libraries for inter-node communication needs, enhancing its utility for diverse applications.

Amazon EC2 UltraClusters allow for the scaling of thousands of GPUs or specialized machine learning accelerators like AWS Trainium, granting users immediate access to supercomputing-level performance. This service opens the door to supercomputing for developers involved in machine learning, generative AI, and high-performance computing, all through a straightforward pay-as-you-go pricing structure that eliminates the need for initial setup or ongoing maintenance expenses. Comprising thousands of accelerated EC2 instances placed within a specific AWS Availability Zone, UltraClusters utilize Elastic Fabric Adapter (EFA) networking within a petabit-scale nonblocking network. Such an architecture not only ensures high-performance networking but also facilitates access to Amazon FSx for Lustre, a fully managed shared storage solution based on a high-performance parallel file system that enables swift processing of large datasets with sub-millisecond latency. Furthermore, EC2 UltraClusters enhance scale-out capabilities for distributed machine learning training and tightly integrated HPC tasks, significantly decreasing training durations while maximizing efficiency. This transformative technology is paving the way for groundbreaking advancements in various computational fields.

The Amazon EC2 G5 instances represent the newest generation of NVIDIA GPU-powered instances, designed to cater to a variety of graphics-heavy and machine learning applications. They offer performance improvements of up to three times for graphics-intensive tasks and machine learning inference, while achieving a remarkable 3.3 times increase in performance for machine learning training when compared to the previous G4dn instances. Users can leverage G5 instances for demanding applications such as remote workstations, video rendering, and gaming, enabling them to create high-quality graphics in real time. Additionally, these instances provide machine learning professionals with an efficient and high-performing infrastructure to develop and implement larger, more advanced models in areas like natural language processing, computer vision, and recommendation systems. Notably, G5 instances provide up to three times the graphics performance and a 40% improvement in price-performance ratio relative to G4dn instances. Furthermore, they feature a greater number of ray tracing cores than any other GPU-equipped EC2 instance, making them an optimal choice for developers seeking to push the boundaries of graphical fidelity. With their cutting-edge capabilities, G5 instances are poised to redefine expectations in both gaming and machine learning sectors.

You can connect to any resource, anywhere, anytime, from any device, securely and quickly. Modern web-based UIs are your central hub for remote resources. Management prefers Windows, developers prefer macOS, and designers prefer Windows. Multi-OS environments can be supported with ease by Linux. Leostream integrates seamlessly with Teradici Cloud Access Software, and PCoIP Remote Working Station Cards. This allows for high-quality graphics to be used in cloud or datacenter applications. Scale Computing and Leostream offer a complete VDI solution. They are simple to set-up, easy to maintain, and affordable for small businesses. Leostream allows you to manage user-to-resource connections and assigns resources in large-scale enterprise environments. Leostream makes it easy to create a VDI and DaaS solution that your clients will love. Leostream offers all the tools you need for building and deploying a VDI.

Experience the advantages of Cisco now available in an as-a-service model. Enhance your operational speed, flexibility, and scalability through on-demand solutions that seamlessly adjust to suit your organizational requirements. Cisco Plus provides a comprehensive suite of cross-portfolio technologies designed to tackle your most pressing challenges while delivering quicker returns on investment. Initially focusing on hybrid cloud technologies, the offerings will soon diversify into a wider range of services developed alongside our partner ecosystem. The shift towards as-a-service frameworks accelerates the transition from traditional infrastructure management to achieving tangible business results. Cisco Plus simplifies the process for customers to obtain and oversee Cisco solutions effectively. Among its offerings are data center networking, bare metal computing, Edge computing, virtualization services, and VDI, ensuring a robust foundation for your IT needs. This innovative approach not only streamlines operations but also empowers businesses to thrive in a rapidly evolving technological landscape.

A robust platform optimized for training is equipped with NVIDIA® H100 Tensor Core GPUs, offering competitive pricing and personalized support. Designed to handle extensive machine learning workloads, it allows for efficient multihost training across thousands of H100 GPUs interconnected via the latest InfiniBand network, achieving speeds of up to 3.2Tb/s per host. Users benefit from significant cost savings, with at least a 50% reduction in GPU compute expenses compared to leading public cloud services*, and additional savings are available through GPU reservations and bulk purchases. To facilitate a smooth transition, we promise dedicated engineering support that guarantees effective platform integration while optimizing your infrastructure and deploying Kubernetes. Our fully managed Kubernetes service streamlines the deployment, scaling, and management of machine learning frameworks, enabling multi-node GPU training with ease. Additionally, our Marketplace features a variety of machine learning libraries, applications, frameworks, and tools designed to enhance your model training experience. New users can take advantage of a complimentary one-month trial period, ensuring they can explore the platform's capabilities effortlessly. This combination of performance and support makes it an ideal choice for organizations looking to elevate their machine learning initiatives.

You don't need to know everything about VDI. Workspot's SaaS cloud platform for IT allows IT teams to deploy and manage virtual desktops, GPU Workstations, and applications all over the world. It is a turnkey solution that delivers the performance IT users love. Our enterprise cloud PC platform allows your users to access their cloud desktop on any device. Integrate with your Windows 10 images, apps, security stack, and processes to simplify your work. Flat-rate pricing with cloud compute is available. Workpot will manage your desktop SLA. All-day performance and user satisfaction are possible by delivering low-latency cloud PCs from any Microsoft Azure region or Google Cloud region.

Nerdio Manager for Enterprise and Nerdio Manager for MSP empower Managed Service Providers and Enterprise IT Professionals to swiftly implement Azure Virtual Desktop and Windows 365, allowing them to oversee all their environments from a single, user-friendly platform while significantly reducing expenses by as much as 75% on Azure resources. The platform enhances the built-in functionalities of Azure Virtual Desktop and Windows 365, providing users with rapid and automated deployment of virtual desktops, intuitive management that can be executed in just a few clicks, and features that promote cost savings without compromising the robust security offered by Microsoft Azure or the high-level support from Nerdio. Additionally, for Managed Service Providers, the multi-tenant solution facilitates automatic provisioning in less than an hour and enables connection to existing deployments within minutes, alongside streamlined management of all clients through an easy-to-use admin portal, further augmented by Nerdio's Advanced Auto-scaling for optimal cost efficiency. This comprehensive approach not only simplifies the deployment process but also enhances operational efficiency, making it a vital tool for modern IT management.

Accelerate computational tasks such as those found in machine learning and high-performance computing (HPC) with a diverse array of GPUs suited for various performance levels and budget constraints. With adaptable pricing and customizable machines, you can fine-tune your setup to enhance your workload efficiency. Google Cloud offers high-performance GPUs ideal for machine learning, scientific analyses, and 3D rendering. The selection includes NVIDIA K80, P100, P4, T4, V100, and A100 GPUs, providing a spectrum of computing options tailored to meet different cost and performance requirements. You can effectively balance processor power, memory capacity, high-speed storage, and up to eight GPUs per instance to suit your specific workload needs. Enjoy the advantage of per-second billing, ensuring you only pay for the resources consumed during usage. Leverage GPU capabilities on Google Cloud Platform, where you benefit from cutting-edge storage, networking, and data analytics solutions. Compute Engine allows you to easily integrate GPUs into your virtual machine instances, offering an efficient way to enhance processing power. Explore the potential uses of GPUs and discover the various types of GPU hardware available to elevate your computational projects.

Introducing a robust all-in-one cloud management solution designed for both your business and your clients. With integrated billing, you can create a feature-rich public cloud that stands out in the competitive cloud landscape. Experience a heightened cloud environment, equipped with automation tools tailored for both you and your clients. Benefit from auto failover and self-healing technologies, simplifying the process of launching the platform and incorporating new infrastructure. Provide comprehensive cloud solutions, encompassing Infrastructure, Platform, and Storage services. Stay ahead of the competition by offering enticing cloud options that surpass market standards. Empower authorized users to deploy from a vast selection of pre-packaged applications, all while utilizing essential scaling, monitoring, and management tools. Enhance your organization’s capabilities by adding new applications to the marketplace or effortlessly launching custom applications within moments. Save on costs by opting for OpenSource solutions. We are committed to giving back to the community, supporting not only you but also anyone who possesses the skills necessary to manage their own installations and provide technical support independently. Join us in revolutionizing the way cloud services are delivered and experienced.

Amazon EC2 P4d instances are designed for optimal performance in machine learning training and high-performance computing (HPC) applications within the cloud environment. Equipped with NVIDIA A100 Tensor Core GPUs, these instances provide exceptional throughput and low-latency networking capabilities, boasting 400 Gbps instance networking. P4d instances are remarkably cost-effective, offering up to a 60% reduction in expenses for training machine learning models, while also delivering an impressive 2.5 times better performance for deep learning tasks compared to the older P3 and P3dn models. They are deployed within expansive clusters known as Amazon EC2 UltraClusters, which allow for the seamless integration of high-performance computing, networking, and storage resources. This flexibility enables users to scale their operations from a handful to thousands of NVIDIA A100 GPUs depending on their specific project requirements. Researchers, data scientists, and developers can leverage P4d instances to train machine learning models for diverse applications, including natural language processing, object detection and classification, and recommendation systems, in addition to executing HPC tasks such as pharmaceutical discovery and other complex computations. These capabilities collectively empower teams to innovate and accelerate their projects with greater efficiency and effectiveness.

Amazon's Elastic Compute Cloud (EC2) offers P5 instances that utilize NVIDIA H100 Tensor Core GPUs, alongside P5e and P5en instances featuring NVIDIA H200 Tensor Core GPUs, ensuring unmatched performance for deep learning and high-performance computing tasks. With these advanced instances, you can reduce the time to achieve results by as much as four times compared to earlier GPU-based EC2 offerings, while also cutting ML model training costs by up to 40%. This capability enables faster iteration on solutions, allowing businesses to reach the market more efficiently. P5, P5e, and P5en instances are ideal for training and deploying sophisticated large language models and diffusion models that drive the most intensive generative AI applications, which encompass areas like question-answering, code generation, video and image creation, and speech recognition. Furthermore, these instances can also support large-scale deployment of high-performance computing applications, facilitating advancements in fields such as pharmaceutical discovery, ultimately transforming how research and development are conducted in the industry.

Unlock the potential of worldwide GPU resources at the click of a button. Gain immediate and unrestricted access to an extensive network of GPUs and CPUs without the need for intermediaries. By utilizing this service, you can drastically reduce your expenses for GPU computing in comparison to leading public cloud providers or investing in personal servers. Interact with the io.net cloud, tailor your options, and implement your setup in mere seconds. You also have the flexibility to receive a refund whenever you decide to close your cluster, ensuring a balance between cost and performance at all times. Transform your GPU into a profitable asset through io.net, where our user-friendly platform enables you to rent out your GPU effortlessly. This approach is not only lucrative but also clear and straightforward. Become a member of the largest GPU cluster network globally and enjoy exceptional returns on your investments. You will earn considerably more from your GPU computing than from top-tier crypto mining pools, with the added benefit of knowing your earnings upfront and receiving payments promptly upon job completion. The greater your investment in your infrastructure, the more substantial your returns are likely to be, creating a cycle of reinvestment and profitability.

CloudPe, a global provider of cloud solutions, offers scalable and secure cloud technology tailored to businesses of all sizes. CloudPe is a joint venture between Leapswitch Networks, Strad Solutions and combines industry expertise to deliver innovative solutions. Key Offerings: Virtual Machines: High performance VMs for various business requirements, including hosting websites and building applications. GPU Instances - NVIDIA GPUs for AI and machine learning. High-performance computing is also available. Kubernetes-as-a-Service: Simplified container orchestration for deploying and managing containerized applications efficiently. S3-Compatible storage: Highly scalable, cost-effective storage solution. Load balancers: Intelligent load-balancing to distribute traffic equally across resources and ensure fast and reliable performance. Why choose CloudPe? 1. Reliability 2. Cost Efficiency 3. Instant Deployment

VMware Workstation Pro is recognized as the leading solution for operating multiple virtual machines (VMs) on a single computer running either Linux or Windows. It is a go-to tool for IT professionals, developers, and organizations involved in creating, testing, or showcasing software across various devices, platforms, or cloud environments. With VMware Workstation Pro, users can simultaneously operate multiple operating systems on their Windows or Linux systems. The software enables the creation of authentic VMs for Linux and Windows, along with other desktop, server, and tablet environments, all equipped with customizable virtual networking and the ability to simulate different network conditions. This makes it ideal for a wide range of activities, including code development, architectural planning, application testing, and product demonstrations. Moreover, users can securely connect to vSphere, ESXi, or other Workstation servers, facilitating the management and control of both virtual machines and physical hosts. A unified VMware hypervisor not only enhances productivity but also simplifies the process of transferring VMs to and from local PCs, making it a versatile tool for professionals. Overall, VMware Workstation Pro stands out as an essential resource in the toolkit of anyone needing to work within virtualized environments.

Cameyo is a secure Virtual Application Delivery platform (VAD) for any Digital Workspace. Cameyo makes it easy, seamless, secure, and simple to deliver Windows and internal web apps to any device via the browser, without the need to use VPNs or virtual desktops. Cameyo allows organizations to give their employees secure access to business-critical apps from anywhere. This makes hybrid and remote work possible. Cameyo's Digital Workspace solution is used by hundreds of organizations and enterprises to deliver Windows and internal web apps to hundreds of thousands of users around the world.

Train advanced models in AI, machine learning, and deep learning effortlessly. With just a few clicks, you can scale your computing resources from a single machine to a complete fleet of virtual machines. Initiate or expand your deep learning endeavors using Lambda Cloud, which allows you to quickly get started, reduce computing expenses, and seamlessly scale up to hundreds of GPUs when needed. Each virtual machine is equipped with the latest version of Lambda Stack, featuring prominent deep learning frameworks and CUDA® drivers. In mere seconds, you can access a dedicated Jupyter Notebook development environment for every machine directly through the cloud dashboard. For immediate access, utilize the Web Terminal within the dashboard or connect via SSH using your provided SSH keys. By creating scalable compute infrastructure tailored specifically for deep learning researchers, Lambda is able to offer substantial cost savings. Experience the advantages of cloud computing's flexibility without incurring exorbitant on-demand fees, even as your workloads grow significantly. This means you can focus on your research and projects without being hindered by financial constraints.

The VMware Enterprise Licensing Agreement (ELA) streamlines software asset management (SAM) for VMware, maximizing the value of your investments. Even highly skilled IT departments can find it challenging to procure, deploy, and oversee thousands of enterprise VMware assets, and the complexity of negotiations and renewals can further complicate matters. Lacking a thorough grasp of VMware's licensing programs, terms, and conditions can lead to overspending and falling behind in compliance. By simplifying licensing and cutting costs, a VMware ELA provides comprehensive coverage and three-year terms, allowing IT teams to focus on more strategic tasks rather than being bogged down by licensing issues. Partnering with Softchoice guarantees that you will derive optimal value from your ELA. Enhancing your software asset management approach is essential to fully leverage your VMware resources, making enterprise software agreements a more economical choice for acquiring the technology that drives your business forward. Ultimately, a well-structured SAM strategy can significantly improve operational efficiency and cost-effectiveness.

Oracle Cloud Infrastructure (OCI) offers a range of compute options that are not only speedy and flexible but also cost-effective, catering to various workload requirements, including robust bare metal servers, virtual machines, and efficient containers. OCI Compute stands out by providing exceptionally adaptable VM and bare metal instances that ensure optimal price-performance ratios. Users can tailor the exact number of cores and memory to align with their applications' specific demands, which translates into high performance for enterprise-level tasks. Additionally, the platform simplifies the application development process through serverless computing, allowing users to leverage technologies such as Kubernetes and containerization. For those engaged in machine learning, scientific visualization, or other graphic-intensive tasks, OCI offers NVIDIA GPUs designed for performance. It also includes advanced capabilities like RDMA, high-performance storage options, and network traffic isolation to enhance overall efficiency. With a consistent track record of delivering superior price-performance compared to other cloud services, OCI's virtual machine shapes provide customizable combinations of cores and memory. This flexibility allows customers to further optimize their costs by selecting the precise number of cores needed for their workloads, ensuring they only pay for what they use. Ultimately, OCI empowers organizations to scale and innovate without compromising on performance or budget.

Introducing a pioneering compute protocol that combines integrated hardware and software for the training and fine-tuning of AI models. Experience a reduction in training expenses by as much as 80%. You can deploy your models in mere seconds, utilizing either open-source templates or your own customized models. Effortlessly debug your containers while having access to vital resources such as GPU, CPU, Memory, and other performance metrics. Real-time log monitoring allows for immediate insights into your processes. Maintain complete accountability by tracing all models and training datasets with cryptographically verified proofs. Command the entire training workflow effortlessly with just a few straightforward commands. Additionally, you can earn block rewards by contributing your computer to the network, while also tracking essential metrics like connectivity and uptime to ensure optimal performance. The innovative design of this system not only enhances efficiency but also promotes a collaborative environment for AI development.

Dataoorts GPU Cloud was built for AI. Dataoorts offers GC2 and a X-Series GPU instance to help you excel in your development tasks. Dataoorts GPU instances ensure that computational power is available to everyone, everywhere. Dataoorts can help you with your training, scaling and deployment tasks. Serverless computing allows you to create your own inference endpoint API cost you just $5 Per month.

With Mystic, you have the flexibility to implement machine learning within your own Azure, AWS, or GCP account, or alternatively, utilize our shared GPU cluster for deployment. All Mystic functionalities are seamlessly integrated into your cloud environment. This solution provides a straightforward and efficient method for executing ML inference in a manner that is both cost-effective and scalable. Our GPU cluster accommodates hundreds of users at once, offering an economical option; however, performance may fluctuate based on the real-time availability of GPUs. Effective AI applications rely on robust models and solid infrastructure, and we take care of the infrastructure aspect for you. Mystic features a fully managed Kubernetes platform that operates within your cloud, along with an open-source Python library and API designed to streamline your entire AI workflow. You will benefit from a high-performance environment tailored for serving your AI models effectively. Additionally, Mystic intelligently adjusts GPU resources by scaling them up or down according to the volume of API requests your models generate. From your Mystic dashboard, command-line interface, and APIs, you can effortlessly monitor, edit, and manage your infrastructure, ensuring optimal performance at all times. This comprehensive approach empowers you to focus on developing innovative AI solutions while we handle the underlying complexities.

GPU cloud computing is a service leveraging GPU technology to provide high-speed, real-time parallel and floating-point computing capabilities. This service is particularly well-suited for diverse applications, including 3D graphics rendering, video processing, deep learning, and scientific research. Users can easily manage GPU instances in a manner similar to standard ECS, significantly alleviating computational burdens. The RTX6000 GPU features thousands of computing units, demonstrating impressive efficiency in parallel processing tasks. For enhanced deep learning capabilities, it offers rapid completion of extensive computations. Additionally, GPU Direct facilitates seamless transmission of large data sets across networks. With an integrated acceleration framework, it enables quick deployment and efficient distribution of instances, allowing users to focus on essential tasks. We provide exceptional performance in the cloud at clear and competitive pricing. Furthermore, our pricing model is transparent and budget-friendly, offering options for on-demand billing, along with opportunities for increased savings through resource subscriptions. This flexibility ensures that users can optimize their cloud resources according to their specific needs and budget.

Coreshub offers a suite of GPU cloud services, AI training clusters, parallel file storage, and image repositories, ensuring secure, dependable, and high-performance environments for AI training and inference. The platform provides a variety of solutions, encompassing computing power markets, model inference, and tailored applications for different industries. Backed by a core team of experts from Tsinghua University, leading AI enterprises, IBM, notable venture capital firms, and major tech companies, Coreshub possesses a wealth of AI technical knowledge and ecosystem resources. It prioritizes an independent, open cooperative ecosystem while actively engaging with AI model suppliers and hardware manufacturers. Coreshub's AI computing platform supports unified scheduling and smart management of diverse computing resources, effectively addressing the operational, maintenance, and management demands of AI computing in a comprehensive manner. Furthermore, its commitment to collaboration and innovation positions Coreshub as a key player in the rapidly evolving AI landscape.

The NVIDIA DGX Cloud provides an AI infrastructure as a service that simplifies the deployment of large-scale AI models and accelerates innovation. By offering a comprehensive suite of tools for machine learning, deep learning, and HPC, this platform enables organizations to run their AI workloads efficiently on the cloud. With seamless integration into major cloud services, it offers the scalability, performance, and flexibility necessary for tackling complex AI challenges, all while eliminating the need for managing on-premise hardware.

GPU Trader serves as a robust and secure marketplace designed for enterprises, linking organizations to high-performance GPUs available through both on-demand and reserved instance models. This platform enables immediate access to powerful GPUs, making it ideal for applications in AI, machine learning, data analytics, and other high-performance computing tasks. Users benefit from flexible pricing structures and customizable instance templates, which allow for seamless scalability while ensuring they only pay for the resources they utilize. The service is built on a foundation of complete security, employing a zero-trust architecture along with transparent billing processes and real-time performance tracking. By utilizing a decentralized architecture, GPU Trader enhances GPU efficiency and scalability, efficiently managing workloads across a distributed network. With the capability to oversee workload dispatch and real-time monitoring, the platform employs containerized agents that autonomously perform tasks on GPUs. Additionally, AI-driven validation processes guarantee that all GPUs available meet stringent performance criteria, thereby offering reliable resources to users. This comprehensive approach not only optimizes performance but also fosters an environment where organizations can confidently leverage GPU resources for their most demanding projects.

Xilinx's AI development platform for inference on its hardware includes a suite of optimized intellectual property (IP), tools, libraries, models, and example designs, all crafted to maximize efficiency and user-friendliness. This platform unlocks the capabilities of AI acceleration on Xilinx’s FPGAs and ACAPs, accommodating popular frameworks and the latest deep learning models for a wide array of tasks. It features an extensive collection of pre-optimized models that can be readily deployed on Xilinx devices, allowing users to quickly identify the most suitable model and initiate re-training for specific applications. Additionally, it offers a robust open-source quantizer that facilitates the quantization, calibration, and fine-tuning of both pruned and unpruned models. Users can also take advantage of the AI profiler, which performs a detailed layer-by-layer analysis to identify and resolve performance bottlenecks. Furthermore, the AI library provides open-source APIs in high-level C++ and Python, ensuring maximum portability across various environments, from edge devices to the cloud. Lastly, the efficient and scalable IP cores can be tailored to accommodate a diverse range of application requirements, making this platform a versatile solution for developers.

Clore.ai is an innovative decentralized platform that transforms GPU leasing by linking server owners with users through a peer-to-peer marketplace. This platform provides adaptable and economical access to high-performance GPUs, catering to various needs such as AI development, scientific exploration, and cryptocurrency mining. Users have the option of on-demand leasing for guaranteed continuous computing power or spot leasing that comes at a reduced cost but may include interruptions. To manage transactions and reward participants, Clore.ai employs Clore Coin (CLORE), a Layer 1 Proof of Work cryptocurrency, with a notable 40% of block rewards allocated to GPU hosts. This compensation structure not only allows hosts to earn extra income alongside rental fees but also boosts the platform's overall attractiveness. Furthermore, Clore.ai introduces a Proof of Holding (PoH) system that motivates users to retain their CLORE coins, providing advantages such as lower fees and enhanced earnings potential. In addition to these features, the platform supports a diverse array of applications, including the training of AI models and conducting complex scientific simulations, making it a versatile tool for users in various fields.

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