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Description
Axe Compute offers enterprise-level bare-metal GPU infrastructure tailored for AI and machine learning applications, featuring extensive global accessibility, dedicated clusters, and reliable access. Within around 48 hours, teams can receive dedicated GPU clusters at over 200 locations, allowing for complete flexibility in selecting region, GPU type, fabric, interconnect, and topology. This solution is specifically designed to tackle the often-overlooked challenges associated with scaling AI, including delays in provisioning, limited availability in the cloud, quota restrictions, inflexible provider economics, costs linked to data movement, and performance degradation due to virtualization. By providing 100% bare-metal access without any virtualization overhead or disruptive neighbors, Axe enables teams to effectively conduct LLM training, inference, diffusion, fine-tuning, enterprise deployment, and various other AI-related tasks with enhanced control. Additionally, its distributed GPU infrastructure ensures low-latency placement close to users and data, minimizing the necessity to transfer data to centralized cloud regions, thereby streamlining operations for teams working on complex AI projects.
Description
NVIDIA's virtual GPU (vGPU) software delivers high-performance GPU capabilities essential for various tasks, including graphics-intensive virtual workstations and advanced data science applications, allowing IT teams to harness the advantages of virtualization alongside the robust performance provided by NVIDIA GPUs for contemporary workloads. This software is installed on a physical GPU within a cloud or enterprise data center server, effectively creating virtual GPUs that can be distributed across numerous virtual machines, permitting access from any device at any location. The performance achieved is remarkably similar to that of a bare metal setup, ensuring a seamless user experience. Additionally, it utilizes standard data center management tools, facilitating processes like live migration, and enables the provisioning of GPU resources through fractional or multi-GPU virtual machine instances. This flexibility is particularly beneficial for adapting to evolving business needs and supporting remote teams, thus enhancing overall productivity and operational efficiency.
API Access
Has API
API Access
Has API
Integrations
AWS Marketplace
Armet AI
Azure Marketplace
IBM Spectrum LSF Suites
IONOS Cloud GPU Servers
IREN Cloud
Mistral Compute
NVIDIA Base Command Manager
NVIDIA Magnum IO
NVIDIA TensorRT
Integrations
AWS Marketplace
Armet AI
Azure Marketplace
IBM Spectrum LSF Suites
IONOS Cloud GPU Servers
IREN Cloud
Mistral Compute
NVIDIA Base Command Manager
NVIDIA Magnum IO
NVIDIA TensorRT
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Axe Compute
Country
United States
Website
axecompute.com
Vendor Details
Company Name
NVIDIA
Founded
1993
Country
United States
Website
www.nvidia.com/en-us/data-center/virtual-solutions/
Product Features
Product Features
Server Virtualization
Audit Management
Health Monitoring
Live Machine Migration
Multi-OS Virtual Machines
Patching / Backup
Performance Log
Performance Optimization
Rapid Provisioning
Security Management
Type 1 / Type 2 Hypervisor