TensorDock Description
All products include bandwidth and are typically 70 to 90 percent cheaper than similar products on the market. Our team is 100% US-based. Independent hosts run our hypervisor to operate the servers. Cloud that is flexible, resilient, scalable and secure for burstable workloads. Clouds up to 70% cheaper than existing clouds Secure servers at low cost for monthly or longer term contracts. ML inference). Integrating with our customers' technology stacks is an important part of our business. Well-documented, well-maintained, well-everything.
TensorDock Alternatives
Amazon EC2
Amazon Elastic Compute Cloud (Amazon EC2) provides secure, resizable cloud computing capacity. It was designed to make cloud computing at web scale easier for developers. Amazon EC2's web service interface makes it easy to configure and obtain capacity with minimal effort. It gives you complete control over your computing resources and allows you to run on Amazon's proven computing environment.
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Ori GPU Cloud
Launch GPU-accelerated instances that are highly configurable for your AI workload and budget. Reserve thousands of GPUs for training and inference in a next generation AI data center. The AI world is moving to GPU clouds in order to build and launch groundbreaking models without having the hassle of managing infrastructure or scarcity of resources. AI-centric cloud providers are outperforming traditional hyperscalers in terms of availability, compute costs, and scaling GPU utilization for complex AI workloads. Ori has a large pool with different GPU types that are tailored to meet different processing needs. This ensures that a greater concentration of powerful GPUs are readily available to be allocated compared to general purpose clouds. Ori offers more competitive pricing, whether it's for dedicated servers or on-demand instances. Our GPU compute costs are significantly lower than the per-hour and per-use pricing of legacy cloud services.
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NVIDIA virtual GPU
NVIDIA virtual graphics (vGPU), software that enables powerful GPU performance, is available for a wide range of workloads from graphics-rich virtual desktops to data science or AI. This allows IT to take advantage of the management and security advantages of virtualization and the performance of NVIDIA's GPUs for modern workloads. NVIDIA's vGPU software, installed on a physical GPU within a cloud server or enterprise data center, creates virtual GPUs which can be shared between multiple virtual machines and accessed from anywhere. Deliver performance that is virtually indistinguishable to a bare-metal environment. Use common data center management software, such as live migration. GPU resources can be allocated with fractional or multiple GPU virtual machine (VMs) instances. Responsiveness to remote teams and changing business requirements.
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Latitude.sh
All the information you need to deploy and maintain single-tenant, high performance bare metal servers. Latitude.sh is a great alternative to VMs. Latitude.sh has a lot more computing power than VMs. Latitude.sh gives you the speed and flexibility of a dedicated server, as well as the flexibility of the cloud. You can deploy your servers instantly through the Control Panel or use our powerful API to manage them. Latitude.sh offers a variety of hardware and connectivity options to meet your specific needs. Latitude.sh also offers automation. A robust, intuitive control panel that you can access in real-time to power your team, allows you to see and modify your infrastructure. Latitude.sh is what you need to run mission-critical services that require high uptime and low latency. We have our own private datacenter, so we are familiar with the best infrastructure.
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Pricing
Pricing Starts At:
$0.05 per hour
Integrations
API:
Yes, TensorDock has an API
No Integrations at this time
Company Details
Company:
TensorDock
Year Founded:
2021
Headquarters:
United States
Website:
tensordock.com
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Product Details
Platforms
SaaS
Customer Support
Online
TensorDock Features and Options
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