Alternatives to Xosphere
Compare Xosphere alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Xosphere in 2026. Compare features, ratings, user reviews, pricing, and more from Xosphere competitors and alternatives in order to make an informed decision for your business.
-
1
AWS Auto Scaling
Amazon
AWS Auto Scaling monitors your applications and automatically adjusts capacity to maintain steady, predictable performance at the lowest possible cost. Using AWS Auto Scaling, it’s easy to setup application scaling for multiple resources across multiple services in minutes. The service provides a simple, powerful user interface that lets you build scaling plans for resources including Amazon EC2 instances and Spot Fleets, Amazon ECS tasks, Amazon DynamoDB tables and indexes, and Amazon Aurora Replicas. AWS Auto Scaling makes scaling simple with recommendations that allow you to optimize performance, costs, or balance between them. If you’re already using Amazon EC2 Auto Scaling to dynamically scale your Amazon EC2 instances, you can now combine it with AWS Auto Scaling to scale additional resources for other AWS services. With AWS Auto Scaling, your applications always have the right resources at the right time. -
2
Vultr
Vultr
Easily deploy cloud servers, bare metal, and storage worldwide! Our high performance compute instances are perfect for your web application or development environment. As soon as you click deploy, the Vultr cloud orchestration takes over and spins up your instance in your desired data center. Spin up a new instance with your preferred operating system or pre-installed application in just seconds. Enhance the capabilities of your cloud servers on demand. Automatic backups are extremely important for mission critical systems. Enable scheduled backups with just a few clicks from the customer portal. Our easy-to-use control panel and API let you spend more time coding and less time managing your infrastructure. -
3
Amazon EC2 Auto Scaling
Amazon
Amazon EC2 Auto Scaling helps you maintain application availability and lets you automatically add or remove EC2 instances using scaling policies that you define. Dynamic or predictive scaling policies let you add or remove EC2 instance capacity to service established or real-time demand patterns. The fleet management features of Amazon EC2 Auto Scaling help maintain the health and availability of your fleet. Automation is vital to efficient DevOps, and getting your fleets of Amazon EC2 instances to launch, provision software, and self-heal automatically is a key challenge. Amazon EC2 Auto Scaling provides essential features for each of these instance lifecycle automation steps. Use machine learning to predict and schedule the right number of EC2 instances to anticipate approaching traffic changes. -
4
EC2 Spot
Amazon
Amazon EC2 Spot Instances let you take advantage of unused EC2 capacity in the AWS cloud. Spot Instances are available at up to a 90% discount compared to On-Demand prices. You can use Spot Instances for various stateless, fault-tolerant, or flexible applications such as big data, containerized workloads, CI/CD, web servers, high-performance computing (HPC), and test & development workloads. Because Spot Instances are tightly integrated with AWS services such as Auto Scaling, EMR, ECS, CloudFormation, Data Pipeline and AWS Batch, you can choose how to launch and maintain your applications running on Spot Instances. Moreover, you can easily combine Spot Instances with On-Demand, RIs and Savings Plans Instances to further optimize workload cost with performance. Due to the operating scale of AWS, Spot Instances can offer the scale and cost savings to run hyper-scale workloads.Starting Price: $0.01 per user, one-time payment, -
5
Spot Ocean
Spot by NetApp
Spot Ocean lets you reap the benefits of Kubernetes without worrying about infrastructure while gaining deep cluster visibility and dramatically reducing costs. The key question is how to use containers without the operational overhead of managing the underlying VMs while also take advantage of the cost benefits associated with Spot Instances and multi-cloud. Spot Ocean is built to solve this problem by managing containers in a “Serverless” environment. Ocean provides an abstraction on top of virtual machines allowing to deploy Kubernetes clusters without the need to manage the underlying VMs. Ocean takes advantage of multiple compute purchasing options like Reserved and Spot instance pricing and failover to On-Demand instances whenever necessary, providing 80% reduction in infrastructure costs. Spot Ocean is a Serverless Compute Engine that abstracts the provisioning (launching), auto-scaling, and management of worker nodes in Kubernetes clusters. -
6
nOps
nOps.io
FinOps on nOps We only charge for what we save. ✓Continuous Cloud waste reduction ✓Continuous Container cluster optimization ✓Continuous RI management to save up to 40% over on-demand resources ✓Spot Orchestrator to reduce cost over on-demand resources Most organizations don’t have the resources to focus on reducing cloud spend. nOps is your ML-powered FinOps team. nOps reduces cloud waste, helps you run workloads on spot instances, automatically manages reservations, and helps optimize your containers. Everything is automated and data-driven.Starting Price: $99 per month -
7
Alibaba Auto Scaling
Alibaba Cloud
Auto Scaling is a service to automatically adjust computing resources based on your volume of user requests. When the demand for computing resources increase, Auto Scaling automatically adds ECS instances to serve additional user requests, or alternatively removes instances in the case of decreased user requests. Automatically adjusts computing resources according to various scaling policies. Supports manual scale-in and scale-out, which offer you flexibility to control resources manually. During peak periods, automatically adds additional computing resources to the pool. When user requests decrease, Auto Scaling automatically releases ECS resources to cut down your costs -
8
Vast.ai
Vast.ai
Vast.ai is the market leader in low-cost cloud GPU rental. Use one simple interface to save 5-6X on GPU compute. Use on-demand rentals for convenience and consistent pricing. Or save a further 50% or more with interruptible instances using spot auction based pricing. Vast has an array of providers that offer different levels of security: from hobbyists up to Tier-4 data centers. Vast.ai helps you find the best pricing for the level of security and reliability you need. Use our command line interface to search the entire marketplace for offers while utilizing scriptable filters and sort options. Launch instances quickly right from the CLI and easily automate your deployment. Save an additional 50% or more by using interruptible instances and auction pricing. The highest bidding instances run; other conflicting instances are stopped.Starting Price: $0.20 per hour -
9
Uniskai by Profisea Labs
Profisea Labs
Uniskai by Profisea Labs is an AI-driven multi-cloud cost optimization platform designed to help DevOps and FinOps teams gain full control over their cloud spending and reduce costs by up to 75%. It offers an intuitive billing dashboard with detailed cost show-back and future cost predictions, enabling users to monitor and manage expenses across AWS, Azure, and GCP. The platform provides personalized rightsizing recommendations to select the ideal instance size and type aligned with actual workload demands and features a distinctive strategy to transform instances into cost-effective spots, seamlessly managing Spot Instances to minimize downtime through proactive system actions. Uniskai's Waste Manager swiftly identifies unutilized, duplicated, or improperly sized resources and backups, allowing users to eliminate cloud waste with a single click.Starting Price: $10 per month -
10
Lightwing
Lightwing
Save up to 90% on monthly cloud bills. Lightwing helps you go from sign up to cost optimized in under 60mins. Optimize the compute of all your production resources using AWS Spot instances or Azure Spot instances. Achieve stable and reliable high availability, while still fully benefitting from spot instance pricing. Go from sign up to fully cost-optimized in under 60mins. Use Smart Advisor to bucket your cloud resources based on usage (production or non-production) and nature (state and fault tolerance). Get an immediate estimate on exactly how much you can save on your cloud compute bills using Lightwing. Implement the required cost optimization automation and start saving on your cloud costs instantly. Helping our customers cost-optimize their cloud infrastructure is all we do, all day every day. -
11
Spot by NetApp
NetApp
Spot by NetApp is a suite of cloud operations solutions designed to optimize and automate cloud infrastructure, ensuring applications receive continuously optimized resources that balance performance, availability, and cost. By leveraging advanced analytics and machine learning, Spot enables organizations to achieve up to 90% cost reduction on cloud compute expenses by dynamically utilizing a mix of spot, reserved, and on-demand instances. The platform offers comprehensive tools for cloud financial management (FinOps), Kubernetes infrastructure optimization, and cloud commitment management, providing full visibility into cloud environments and automating operations for maximum efficiency. With Spot by NetApp, businesses can accelerate their cloud adoption, improve operational agility, and maintain robust security across multi-cloud and hybrid environments. -
12
Exostellar
Exostellar
Masterfully manage cloud resources from one screen. Get more computing for the same budget and accelerate the development process. No upfront capital investments are associated with buying reserved instances. Meet the fluctuating demands of your projects reliably. Exostellar automatically live-migrates HPC applications to cheaper virtual machines, thereby optimizing resource utilization. Leverages state-of-the-art OVMA (Optimized Virtual Machine Array), which consists of a collection of instance types that share similar characteristics, including cores, memory, SSD storage, network bandwidth, and more. Seamlessly and continuously runs applications without any disruptions. Effortlessly switch between different instance types. Maintains the same network connections and addresses. Input your current AWS computing usage to uncover the potential savings and added performance Exostellar’s X-Spot technology can deliver to your business and your application. -
13
Elastigroup
Spot by NetApp
Provision, manage and scale compute infrastructure on any cloud. Save up to 80% on your costs while ensuring SLA and high-availability. Elastigroup is a cluster software, designed to optimize performance and costs. It enables companies of all sizes and verticals to reliably leverage Cloud Excess Capacity to optimize and accelerate workloads and save up to 90% on infrastructure compute costs. Elastigroup makes use of proprietary price prediction technology to deploy reliably onto Spot Instances. By predicting interruptions and fluctuations Elastigroup is able to offensively rebalance clusters to prevent interruption. Elastigroup reliably leverages excess capacity across all major cloud providers such as EC2 Spot Instances (AWS), Low-priority VMs (Microsoft Azure) and Preemptible VMs (Google Cloud), while removing risk and complexity, providing simple orchestration and management at scale. -
14
AWS Batch
Amazon
AWS Batch enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on AWS. AWS Batch dynamically provisions the optimal quantity and type of compute resources (e.g., CPU or memory optimized instances) based on the volume and specific resource requirements of the batch jobs submitted. With AWS Batch, there is no need to install and manage batch computing software or server clusters that you use to run your jobs, allowing you to focus on analyzing results and solving problems. AWS Batch plans, schedules, and executes your batch computing workloads across the full range of AWS compute services and features, such as AWS Fargate, Amazon EC2 and Spot Instances. There is no additional charge for AWS Batch. You only pay for the AWS resources (e.g. EC2 instances or Fargate jobs) you create to store and run your batch jobs. -
15
xtype
xtype
xtype empowers ServiceNow platform teams to innovate faster, govern multiple instances, shrink the backlog, ensure compliance, and reduce operational risk. xtype is a cutting-edge product that revolutionizes the backup and restores activities for cloning ServiceNow instances. It drastically reduces the preparation time and improves accuracy by automatically identifying what needs to be backed up and restored. Gain unparalleled visibility into your ServiceNow environment with xtype. It provides a live shared view of backup and restore plans, enabling real-time collaboration and visibility of work-in-progress. This ensures all team members are aligned and informed about their responsibilities and the clone status, fostering collaboration and efficiency. xtype provides a multi-instance of your ServiceNow landscape with a purpose-built visibility product native to ServiceNow, giving you, in minutes, the ability to spot and remediate any version inconsistencies. -
16
AWS Thinkbox Deadline
Amazon
Automatically sync on-premises asset files to Amazon Simple Storage Service (S3), ensuring availability in the cloud. Synchronize with local servers, manage data transfers before rendering begins, and tag accounts and instances for bill allocation. Purchase usage-based software licenses, bring your own licenses, or use a combination of both to create third-party digital content. Leverage Amazon Elastic Compute Cloud (EC2) Spot Instances to save up to 90% compared to on-demand pricing. Set up a render farm in minutes, run more projects in parallel, and improve cost control. Generate a hybrid or cloud-based render farm and scale to thousands of cores in minutes with the AWS Portal. Build, tailor, and deploy render farms with the Render Farm Deployment Kit (RFDK) using familiar programming languages, such as Python. Use the Jigsaw tool to render very high-resolution images faster by distributing them across multiple machines. -
17
AceCloud
AceCloud
AceCloud is a comprehensive public cloud and cybersecurity platform designed to support businesses with scalable, secure, and high-performance infrastructure. Its public cloud services include compute options tailored for RAM-intensive, CPU-intensive, and spot instances, as well as cloud GPU offerings featuring NVIDIA A2, A30, A100, L4, L40S, RTX A6000, RTX 8000, and H100 GPUs. It provides Infrastructure as a Service (IaaS), enabling users to deploy virtual machines, storage, and networking resources on demand. Storage solutions encompass object storage, block storage, volume snapshots, and instance backups, ensuring data integrity and accessibility. AceCloud also offers managed Kubernetes services for container orchestration and supports private cloud deployments, including fully managed cloud, one-time deployment, hosted private cloud, and virtual private servers.Starting Price: $0.0073 per hour -
18
Eco
Spot by NetApp
Automated Optimization for AWS Savings Plans and Reserved Instances. Simplify the planning, purchasing and optimization of your cloud commitments portfolio. Eco automates reserved instance lifecycle management, creating a high-ROI, low-risk cloud commitment portfolio that matches your current and projected needs. By identifying and selling off unused capacity and buying appropriate short-term, third-party reservations on the AWS Marketplace, Eco delivers all the benefits of long-term pricing without financial lock-in. Ensure maximum ROI on cloud commitment purchases with analysis, modification and mapping of unused reserved instances and Savings Plans to resource demands. Automate purchasing strategies for reserved instances in the AWS Marketplace throughout their lifecycle to ensure workloads are always running at optimal pricing. Enable collaboration between Finance and DevOps teams with full visibility into compute consumption and automation of optimal reserved instances. -
19
Tencent Cloud Block Storage
Tencent
Tencent Cloud Cloud Block Storage (CBS) provides a persistent block storage service for CVM instances. The lifecycle of an Elastic Cloud Disk is independent of CVM instances. You can mount multiple cloud disks to a CVM instance and unmount them in order to mount them to another CVM instance. CBS offers cloud disks of multiple types and specifications to achieve stable and low-latency storage performance. CBS supports mounting and unmounting to instances in the same availability zone. You can use it to adjust storage capacity in minutes to satisfy elastic demands and pay for only what you use. When disk space becomes insufficient during use, you can purchase one or more cloud disks to satisfy storage capacity requirements. Purchase cloud disks to meet storage demands you did not plan for when buying the CVM instance. Store data on a cloud disk, unmount it, then mount it to another CVM instance to transfer data. -
20
NVIDIA DGX Cloud Serverless Inference is a high-performance, serverless AI inference solution that accelerates AI innovation with auto-scaling, cost-efficient GPU utilization, multi-cloud flexibility, and seamless scalability. With NVIDIA DGX Cloud Serverless Inference, you can scale down to zero instances during periods of inactivity to optimize resource utilization and reduce costs. There's no extra cost for cold-boot start times, and the system is optimized to minimize them. NVIDIA DGX Cloud Serverless Inference is powered by NVIDIA Cloud Functions (NVCF), which offers robust observability features. It allows you to integrate your preferred monitoring tools, such as Splunk, for comprehensive insights into your AI workloads. NVCF offers flexible deployment options for NIM microservices while allowing you to bring your own containers, models, and Helm charts.
-
21
Exafunction
Exafunction
Exafunction optimizes your deep learning inference workload, delivering up to a 10x improvement in resource utilization and cost. Focus on building your deep learning application, not on managing clusters and fine-tuning performance. In most deep learning applications, CPU, I/O, and network bottlenecks lead to poor utilization of GPU hardware. Exafunction moves any GPU code to highly utilized remote resources, even spot instances. Your core logic remains an inexpensive CPU instance. Exafunction is battle-tested on applications like large-scale autonomous vehicle simulation. These workloads have complex custom models, require numerical reproducibility, and use thousands of GPUs concurrently. Exafunction supports models from major deep learning frameworks and inference runtimes. Models and dependencies like custom operators are versioned so you can always be confident you’re getting the right results. -
22
Amazon EC2 Capacity Blocks for ML enable you to reserve accelerated compute instances in Amazon EC2 UltraClusters for your machine learning workloads. This service supports Amazon EC2 P5en, P5e, P5, and P4d instances, powered by NVIDIA H200, H100, and A100 Tensor Core GPUs, respectively, as well as Trn2 and Trn1 instances powered by AWS Trainium. You can reserve these instances for up to six months in cluster sizes ranging from one to 64 instances (512 GPUs or 1,024 Trainium chips), providing flexibility for various ML workloads. Reservations can be made up to eight weeks in advance. By colocating in Amazon EC2 UltraClusters, Capacity Blocks offer low-latency, high-throughput network connectivity, facilitating efficient distributed training. This setup ensures predictable access to high-performance computing resources, allowing you to plan ML development confidently, run experiments, build prototypes, and accommodate future surges in demand for ML applications.
-
23
Tencent Cloud Virtual Machine
Tencent
To meet your ever-changing business needs, you can quickly add or delete CVMs in minutes. By defining relevant policies, you can ensure that your CVM instances will be seamlessly scaled up during periods of higher demand to ensure application availability and scaled down during periods of lower demand to save costs. CVM offers a wide variety of instances, operating systems and software packages. You can flexibly adjust each instance’s CPU, memory, disk and bandwidth configuration to match your applications. CVM supports multiple Linux distribution versions and Windows Server versions. You can access Tencent Cloud CVM as an administrator with full control. Using various tools such as the Tencent Cloud console and APIs, you can connect to your CVM instances and perform operations like restarting and modifying your network configurations. -
24
SQL Inventory Manager
IDERA, an Idera, Inc. company
SQL Inventory Manager helps database administrators to manage SQL Server inventory and assets in physical, virtual, and cloud environments. Unlike its competition, it provides automatic discovery of SQL Server instances, databases, and analysis services in the network, protection against back level versions and missing security patches, confirmation that instance growth meets your license commitments, quick display of server details to determine license cost, monitor instance health, gathering of hardware, operating system, instance and database configuration details, pre-defined and customizable licensing, inventory, chargeback and health reports, and tags and filters to simplify organization of instances and databases.Starting Price: $2,556 for 10 instances -
25
Amazon EC2 P5 Instances
Amazon
Amazon Elastic Compute Cloud (Amazon EC2) P5 instances, powered by NVIDIA H100 Tensor Core GPUs, and P5e and P5en instances powered by NVIDIA H200 Tensor Core GPUs deliver the highest performance in Amazon EC2 for deep learning and high-performance computing applications. They help you accelerate your time to solution by up to 4x compared to previous-generation GPU-based EC2 instances, and reduce the cost to train ML models by up to 40%. These instances help you iterate on your solutions at a faster pace and get to market more quickly. You can use P5, P5e, and P5en instances for training and deploying increasingly complex large language models and diffusion models powering the most demanding generative artificial intelligence applications. These applications include question-answering, code generation, video and image generation, and speech recognition. You can also use these instances to deploy demanding HPC applications at scale for pharmaceutical discovery. -
26
Google Cloud Memorystore
Google
Reduce latency with scalable, secure, and highly available in-memory service for Redis and Memcached. Memorystore automates complex tasks for open source Redis and Memcached like enabling high availability, failover, patching, and monitoring so you can spend more time coding. Start with the lowest tier and smallest size and then grow your instance with minimal impact. Memorystore for Memcached can support clusters as large as 5 TB supporting millions of QPS at very low latency. Memorystore for Redis instances are replicated across two zones and provide a 99.9% availability SLA. Instances are monitored constantly and with automatic failover—applications experience minimal disruption. Choose from the two most popular open source caching engines to build your applications. Memorystore supports both Redis and Memcached and is fully protocol compatible. Choose the right engine that fits your cost and availability requirements. -
27
AdroitLogic Integration Platform Server (IPS)
AdroitLogic
Easily deploy any number of ESB instances on the Integration Platform with just a few mouse clicks. Monitor and debug individual instances as well as entire clusters via a single dashboard. ESB instances are spawned in lightweight Docker containers, which provides better resource utilization and responsiveness than virtual machines. The platform detects and re-spawns failed instances within a matter of seconds, using the powerful Kubernetes framework. Adjust computing power of the platform by adding or removing physical or virtual machines, with zero impact on existing components. Easily manage ESB clusters, projects, configurations and user permissions, monitor statistics and debug ESB instances via the IPS dashboard. Plug in project-specific dashboards and seamlessly manage and monitor the platform as well as individual projects via a single, unified dashboard. -
28
Amazon EC2 G5 Instances
Amazon
Amazon EC2 G5 instances are the latest generation of NVIDIA GPU-based instances that can be used for a wide range of graphics-intensive and machine-learning use cases. They deliver up to 3x better performance for graphics-intensive applications and machine learning inference and up to 3.3x higher performance for machine learning training compared to Amazon EC2 G4dn instances. Customers can use G5 instances for graphics-intensive applications such as remote workstations, video rendering, and gaming to produce high-fidelity graphics in real time. With G5 instances, machine learning customers get high-performance and cost-efficient infrastructure to train and deploy larger and more sophisticated models for natural language processing, computer vision, and recommender engine use cases. G5 instances deliver up to 3x higher graphics performance and up to 40% better price performance than G4dn instances. They have more ray tracing cores than any other GPU-based EC2 instance.Starting Price: $1.006 per hour -
29
cloud-init
cloud-init
Cloud images are operating system templates and every instance starts out as an identical clone of every other instance. It is the user data that gives every cloud instance its personality and cloud-init is the tool that applies user data to your instances automatically. Including datasource and module references, and plenty of examples. While cloud-init started life in Ubuntu, it is now available for most major Linux and FreeBSD operating systems. For cloud image providers, then cloud-init handles many of the differences between cloud vendors automatically — for example, the official Ubuntu cloud images are identical across all public and private clouds. -
30
Openredis
Openredis
Provisioning an instance with openredis is fast and easy. We handle all the heavy lifting for you. Choose a plan which suits your needs, and upgrade to a bigger plan anytime. When you upgrade, a new instance will be provisioned for you, and will be synced with your existing one. Your old instance will be left running for 1 hour to ensure minimal downtime upgrades. For cases when imminent storms—or any sort of natural disasters—are expected to occur, we temporarily provision extra replicas across regions. Our mission is to provide the most reliable hosting service out there. All plans include a replica. Should your main instance go down, your backup replica is automatically promoted as the new master, and redundancy is restored within minutes.Starting Price: $8 per month -
31
AWS Nitro System
Amazon
The AWS Nitro System is the foundation for the latest generation of Amazon EC2 instances, enabling AWS to innovate faster, reduce costs for customers, and deliver enhanced security and new instance types. By reimagining virtualization infrastructure, AWS has offloaded functions such as CPU, storage, and networking virtualization to dedicated hardware and software, allowing nearly all server resources to be allocated to instances. This architecture comprises several key components: Nitro Cards, which offload and accelerate I/O for functions like VPC, EBS, and instance storage; the Nitro Security Chip, providing a minimized attack surface and prohibiting administrative access to eliminate human error and tampering; and the Nitro Hypervisor, a lightweight hypervisor that manages memory and CPU allocation, delivering performance nearly indistinguishable from bare metal. The Nitro System's modular design allows for rapid delivery of EC2 instance types. -
32
AWS Elastic Fabric Adapter (EFA)
United States
Elastic Fabric Adapter (EFA) is a network interface for Amazon EC2 instances that enables customers to run applications requiring high levels of inter-node communications at scale on AWS. Its custom-built operating system (OS) bypass hardware interface enhances the performance of inter-instance communications, which is critical to scaling these applications. With EFA, High-Performance Computing (HPC) applications using the Message Passing Interface (MPI) and Machine Learning (ML) applications using NVIDIA Collective Communications Library (NCCL) can scale to thousands of CPUs or GPUs. As a result, you get the application performance of on-premises HPC clusters with the on-demand elasticity and flexibility of the AWS cloud. EFA is available as an optional EC2 networking feature that you can enable on any supported EC2 instance at no additional cost. Plus, it works with the most commonly used interfaces, APIs, and libraries for inter-node communications. -
33
Amazon EC2 G4 Instances
Amazon
Amazon EC2 G4 instances are optimized for machine learning inference and graphics-intensive applications. It offers a choice between NVIDIA T4 GPUs (G4dn) and AMD Radeon Pro V520 GPUs (G4ad). G4dn instances combine NVIDIA T4 GPUs with custom Intel Cascade Lake CPUs, providing a balance of compute, memory, and networking resources. These instances are ideal for deploying machine learning models, video transcoding, game streaming, and graphics rendering. G4ad instances, featuring AMD Radeon Pro V520 GPUs and 2nd-generation AMD EPYC processors, deliver cost-effective solutions for graphics workloads. Both G4dn and G4ad instances support Amazon Elastic Inference, allowing users to attach low-cost GPU-powered inference acceleration to Amazon EC2 and reduce deep learning inference costs. They are available in various sizes to accommodate different performance needs and are integrated with AWS services such as Amazon SageMaker, Amazon ECS, and Amazon EKS. -
34
PeerTube
Framasoft
Free software to take back control of your videos. PeerTube, developed by Framasoft, is the free and decentralized alternative to video platforms, providing you over 400,000 videos published by 60,000 users and viewed over 15 million times PeerTube aspires to be a decentralized and free/libre alternative to video broadcasting services. Our aim is not to replace them, but rather to simultaneously offer something else, with different values. PeerTube is not meant to become a huge platform that would centralize videos from all around the world. Rather, it is a network of inter-connected small videos hosters. Anyone with a modicum of technical skills can host a PeerTube server, aka an instance. Each instance hosts its users and their videos. In this way, every instance is created, moderated and maintained independently by various administrators. -
35
Reyki AI
Reyki AI
Enjoy the flexibility of on-demand cloud computing instances and reap the cost benefits of Reserved Instance (RI) rates without the commitment. Reyki RI autopilot uses cutting-edge AI to monitor, analyze, and optimize your compute resources to automatically apply the best RI rates. Join Reyki AI today and see real cloud bill savings immediately. Let Reyki AI help you optimize further by offloading any over-provisioned RIs to reduce wasteful spending on underutilized compute resources. Let us do the heavy lifting to be the market-maker for buyers and sellers. There's literally nothing for you to build, install, or configure. Simply join Reyki AI and begin saving on cloud computing costs immediately. Our mission is dead simple, to help businesses save on cloud computing costs. We were founded by cloud computing and AI experts. Atrocious amounts of cloud waste can be managed away through a combination of software intelligence, automation, and price optimizations. -
36
Parquantix
Parquantix
Custom-tailored for AWS Partners and AWS Customers, Parquantix is one of the leading strategic partners for businesses looking to do the following: Monitor, analyze and optimize your AWS usage in real-time with our AI-driven tool to ensure an efficient AWS deployment at all times. Optimize cloud compute and database utilization through active procurement and management of reserved Instances and savings plans. Save up to 60% compared to on-demand rates with our AI-driven software. For qualified partners, we will pay the upfront fees for RIs and Savings Plans and amortize the cost over their lifetime. Keep RIs for only as long as needed, instead of being locked into 1 or 3-year contracts. Sell unused RIs in the AWS Marketplace and upgrade to latest generation instances for better price performance. Whether you are a technology company, online retailer or in media, you are overspending in the cloud without an automated optimization solution. -
37
UbiOps
UbiOps
UbiOps is an AI infrastructure platform that helps teams to quickly run their AI & ML workloads as reliable and secure microservices, without upending their existing workflows. Integrate UbiOps seamlessly into your data science workbench within minutes, and avoid the time-consuming burden of setting up and managing expensive cloud infrastructure. Whether you are a start-up looking to launch an AI product, or a data science team at a large organization. UbiOps will be there for you as a reliable backbone for any AI or ML service. Scale your AI workloads dynamically with usage without paying for idle time. Accelerate model training and inference with instant on-demand access to powerful GPUs enhanced with serverless, multi-cloud workload distribution. -
38
VESSL AI
VESSL AI
Build, train, and deploy models faster at scale with fully managed infrastructure, tools, and workflows. Deploy custom AI & LLMs on any infrastructure in seconds and scale inference with ease. Handle your most demanding tasks with batch job scheduling, only paying with per-second billing. Optimize costs with GPU usage, spot instances, and built-in automatic failover. Train with a single command with YAML, simplifying complex infrastructure setups. Automatically scale up workers during high traffic and scale down to zero during inactivity. Deploy cutting-edge models with persistent endpoints in a serverless environment, optimizing resource usage. Monitor system and inference metrics in real-time, including worker count, GPU utilization, latency, and throughput. Efficiently conduct A/B testing by splitting traffic among multiple models for evaluation.Starting Price: $100 + compute/month -
39
Amazon EC2 Inf1 Instances
Amazon
Amazon EC2 Inf1 instances are purpose-built to deliver high-performance and cost-effective machine learning inference. They provide up to 2.3 times higher throughput and up to 70% lower cost per inference compared to other Amazon EC2 instances. Powered by up to 16 AWS Inferentia chips, ML inference accelerators designed by AWS, Inf1 instances also feature 2nd generation Intel Xeon Scalable processors and offer up to 100 Gbps networking bandwidth to support large-scale ML applications. These instances are ideal for deploying applications such as search engines, recommendation systems, computer vision, speech recognition, natural language processing, personalization, and fraud detection. Developers can deploy their ML models on Inf1 instances using the AWS Neuron SDK, which integrates with popular ML frameworks like TensorFlow, PyTorch, and Apache MXNet, allowing for seamless migration with minimal code changes.Starting Price: $0.228 per hour -
40
eprentise
eprentise
Consolidation software from eprentise allows companies to merge two or more instances of Oracle® E-Business Suite (EBS) into a single, consolidated database instance that includes all of the data and history from the source instances. In 2012, eprentise received a patent on its consolidation methodology US 8,103,704. Relying on its built-in knowledge base of Oracle® EBS, eprentise software provides a streamlined, cost-effective way to consolidate different instances after a merger or acquisition or a move to a centralized data center. eprentise Consolidation software automates the process and generates all of the required code, standardizing data, resolving conflicts, aligning set-up parameters, and synchronizing business processes across multiple implementations of EBS. The result is a single database that synthesizes all of the source EBS instances, fully aligning them with the current business strategy. -
41
Tencent Cloud Load Balancer
Tencent
One CLB cluster consists of 4 physical servers, offering an availability of up to 99.95%. In the extreme case where only one CLB instance is available, it can still support over 30 million concurrent connections. The cluster system will quickly remove faulty instances and keep healthy instances to ensure that the backend server continues to operate properly. The CLB cluster scales the service capabilities of the application system elastically according to the business load, and automatically creates and releases CVM instances through the dynamic scaling group of Auto Scaling. These features, in conjunction with a dynamic monitoring system and a billing system that is accurate to the second, eliminate the need to manually intervene or estimate resource requirements, helping you efficiently allocate computing resources and prevent resource waste. -
42
GPU Trader
GPU Trader
GPU Trader is a secure, enterprise-class marketplace that connects organizations with high-performance GPUs in on-demand and reserved instance models. It offers instant access to powerful GPUs tailored for AI, machine learning, data analytics, and high-performance compute workloads. With flexible pricing options and instance templates, users can scale effortlessly and pay only for what they use. It ensures complete security with a zero-trust architecture, transparent billing, and real-time performance monitoring. GPU Trader's decentralized architecture maximizes GPU efficiency and scalability with secure workload management across distributed networks. GPU Trader manages workload dispatch and real-time monitoring, while containerized agents on GPUs autonomously execute tasks. AI-driven validation ensures all GPUs meet high-performance standards, providing reliable resources for renters.Starting Price: $0.99 per hour -
43
Amazon EC2 P4 Instances
Amazon
Amazon EC2 P4d instances deliver high performance for machine learning training and high-performance computing applications in the cloud. Powered by NVIDIA A100 Tensor Core GPUs, they offer industry-leading throughput and low-latency networking, supporting 400 Gbps instance networking. P4d instances provide up to 60% lower cost to train ML models, with an average of 2.5x better performance for deep learning models compared to previous-generation P3 and P3dn instances. Deployed in hyperscale clusters called Amazon EC2 UltraClusters, P4d instances combine high-performance computing, networking, and storage, enabling users to scale from a few to thousands of NVIDIA A100 GPUs based on project needs. Researchers, data scientists, and developers can utilize P4d instances to train ML models for use cases such as natural language processing, object detection and classification, and recommendation engines, as well as to run HPC applications like pharmaceutical discovery and more.Starting Price: $11.57 per hour -
44
Aptible
Aptible
Aptible automatically implements the security controls you need to achieve regulatory compliance and pass customer audits. Out-of-the-box compliance. Aptible Deploy enables you to meet and maintain regulatory compliance and customer audit requirements automatically. Aptible provides everything you need to meet encryption requirements so your Databases, traffic, and certificates are secure. You get automatic backups of your data every 24 hours. You can trigger a manual backup at any time, and restore in a few clicks. Logs are generated and backed up for every deploy, config change, database tunnel, and console operation, and session. Aptible monitors the underlying EC2 instances in your stacks for potential intrusions, such as unauthorized SSH access, rootkits, file integrity issues, and privilege escalation. The Aptible Security Team responds on your behalf 24/7 to investigate and resolve issues as they arise. -
45
VictoriaMetrics Cloud
VictoriaMetrics
VictoriaMetrics Cloud allows users to run the Enterprise version of VictoriaMetrics, hosted on AWS, without the need to perform typical DevOps tasks such as proper configuration, monitoring, log collection, access protection, software updates, and backups. We run VictoriaMetrics Cloud instances in our environment on AWS and provide easy-to-use endpoints for data ingestion and querying. The VictoriaMetrics team takes care of optimal configuration and software maintenance. It comes with the following features: It can be used as a Managed Prometheus - configure Prometheus or Vmagent to write data to Managed VictoriaMetrics and then use the provided endpoint as a Prometheus data source in Grafana; Every VictoriaMetrics Cloud instance runs in an isolated environment, so instances cannot interfere with each other; VictoriaMetrics Cloud instance can be scaled up or scaled down in a few clicks; Automated backups;Starting Price: $190 per month -
46
ecoTimer
ecompute
IT business management products to reduce hosting bills and Co2 emissions. Why Economize your instances. Save computing hours scheduling timers every day for each instance. 84 grams Co2 by hour not emitted using AWS (using 100% green electricity) instead data center-server using non-green electricity. Restrict access limiting when your instances and services are available. Features Available in all products and pricings. Running. View your instances running in all regions in a unique list. ecoTimer for your servers ecoTimer is the most efficient and easy way for your organization save money and reduce environmental impact running your computing servers only when you need them. View your instances from all regions in a unique list and add timers to economize your computing resources. Example case of use: Development team works from 9:00 until 17:00 from monday to friday. Save 512 hours monthly for each server used by this team startingStarting Price: $1.50 per month -
47
Cloudxray
Cloudnosys
CloudXray is a cloud workload scanning solution that operates in two deployment modes; basic for misconfiguration detection and advanced for full malware, OS vulnerability, and misconfiguration scanning. The architecture consists of an orchestrator deployed in a single region and distributed scanners covering all discovered regions, making it fully compatible with both AWS and GCP environments. It uses an agentless approach to inspect workloads and volumes across your cloud account for malware, CVEs, and policy deviations. The solution provisions scanning instances on demand, integrates via roles and APIs, and provides continuous coverage of cloud resources without requiring persistent agents. CloudXray supports rapid deployment and is optimized for scalable, multi-region cloud workloads. It is designed to help organizations maintain a secure posture across compute instances, storage volumes, and OS layers by combining configuration assessment, vulnerability detection, and more. -
48
Azure Container Instances
Microsoft
Develop apps fast without managing virtual machines or having to learn new tools—it's just your application, in a container, running in the cloud. By running your workloads in Azure Container Instances (ACI), you can focus on designing and building your applications instead of managing the infrastructure that runs them. Deploy containers to the cloud with unprecedented simplicity and speed—with a single command. Use ACI to provision additional compute for demanding workloads whenever you need. For example, with the Virtual Kubelet, use ACI to elastically burst from your Azure Kubernetes Service (AKS) cluster when traffic comes in spikes. Gain the security of virtual machines for your container workloads, while preserving the efficiency of lightweight containers. ACI provides hypervisor isolation for each container group to ensure containers run in isolation without sharing a kernel. -
49
Amazon EC2 Trn1 Instances
Amazon
Amazon Elastic Compute Cloud (EC2) Trn1 instances, powered by AWS Trainium chips, are purpose-built for high-performance deep learning training of generative AI models, including large language models and latent diffusion models. Trn1 instances offer up to 50% cost-to-train savings over other comparable Amazon EC2 instances. You can use Trn1 instances to train 100B+ parameter DL and generative AI models across a broad set of applications, such as text summarization, code generation, question answering, image and video generation, recommendation, and fraud detection. The AWS Neuron SDK helps developers train models on AWS Trainium (and deploy models on the AWS Inferentia chips). It integrates natively with frameworks such as PyTorch and TensorFlow so that you can continue using your existing code and workflows to train models on Trn1 instances.Starting Price: $1.34 per hour -
50
Amazon Lightsail
Amazon
Amazon Lightsail provides a number of features designed to help make your project quickly come to life. Designed as an all-in-one cloud platform, Lightsail offers you a one-stop shop for all your cloud needs. Take a look to see how we can help you get started on the AWS infrastructure. Lightsail offers virtual servers (instances) that are easy to set up and backed by the power and reliability of AWS. You can launch your website, web application, or project in minutes, and manage your instance from the intuitive Lightsail console or API. As you’re creating your instance, Lightsail lets you click to launch a simple operating system (OS), a pre-configured application, or a development stack - such as WordPress, Windows, Plesk, LAMP, Nginx, and more. Every Lightsail instance comes with a built-in firewall allowing you to allow or restrict traffic to your instances based on source IP, port and protocol.Starting Price: $3.50 per month
