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
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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Dataoorts GPU Cloud
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.
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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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GPU Mart
Cloud GPU servers are a type cloud computing service which provides access to remote servers equipped with Graphics Processing Units. These GPUs are designed for complex, high-speed parallel computations. They perform at a rate much faster than conventional central processor units (CPUs). NVIDIA K40 and K80 GPU models are available. The GPUs offer a variety of computing options to meet your business needs. Nvidia GPU cloud server allows designers to quickly iterate as rendering time is reduced. Your team's productivity will increase significantly if you invest your time in innovation instead of rendering or computing. Data security is ensured by fully isolating the resources allocated to each user. GPU Mart protects from DDoS at the edge while ensuring that legitimate traffic to Nvidia GPU cloud servers is not compromised.
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Pricing
Pricing Starts At:
$0.05 per hour
Company Details
Company:
TensorDock
Year Founded:
2021
Headquarters:
United States
Website:
tensordock.com
Media
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Product Details
Platforms
SaaS
Customer Support
Online
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