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Average Ratings 0 Ratings
Description
Dapple offers an Enterprise OS Cloud specifically designed for regulated enterprises and AI-driven organizations requiring robust AI infrastructure that maintains strict standards for isolation, data residency, governance, and performance. This innovative solution operates in a space between public cloud services and private data centers, merging dedicated, single-tenant GPU infrastructure with a unified control plane that oversees orchestration, compliance, connectivity, observability, and operational tasks. With features such as topology-aware placement, multi-GPU scheduling, fault-domain isolation, and reserved clusters, Dapple ensures consistent performance devoid of interference from other users. Additionally, private connectivity seamlessly integrates existing cloud environments with dedicated computing resources, while essential functions like identity management, container orchestration, threat protection, and governance policies remain effective throughout the deployment process. At an architectural level, compliance is meticulously enforced prior to workload execution, addressing in-country data residency requirements, audit obligations, and various regulatory frameworks, thereby fostering a secure environment for sensitive operations. Furthermore, Dapple empowers enterprises to innovate freely, all while adhering to strict compliance standards and safeguarding critical data assets.
Description
SF Compute serves as a marketplace platform providing on-demand access to extensive GPU clusters, enabling users to rent high-performance computing resources by the hour without the need for long-term commitments or hefty upfront investments. Users have the flexibility to select either virtual machine nodes or Kubernetes clusters equipped with InfiniBand for rapid data transfer, allowing them to determine the number of GPUs, desired duration, and start time according to their specific requirements. The platform offers adaptable "buy blocks" of computing power; for instance, clients can request a set of 256 NVIDIA H100 GPUs for a three-day period at a predetermined hourly price, or they can adjust their resource allocation depending on their budgetary constraints. When it comes to Kubernetes clusters, deployment is incredibly swift, taking approximately half a second, while virtual machines require around five minutes to become operational. Furthermore, SF Compute includes substantial storage options, featuring over 1.5 TB of NVMe and upwards of 1 TB of RAM, and notably, there are no fees for data transfers in or out, meaning users incur no costs for data movement. The underlying architecture of SF Compute effectively conceals the physical infrastructure, leveraging a real-time spot market and a dynamic scheduling system to optimize resource allocation. This setup not only enhances usability but also maximizes efficiency for users looking to scale their computing needs.
API Access
Has API
No
API Access
Has API
No
Integrations
Kubernetes
No
Liquid AI
No
NVIDIA virtual GPU
No
Phind
No
VMware Cloud
No
Integrations
Kubernetes
Yes
Liquid AI
Yes
NVIDIA virtual GPU
Yes
Phind
Yes
VMware Cloud
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$1.48 per hour
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Dapple
Founded
2025
Country
United States
Website
dapple.co
Vendor Details
Company Name
SF Compute
Country
United States
Website
sfcompute.com