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What is NVIDIA virtual GPU?

NVIDIA's virtual GPU (vGPU) software provides exceptional GPU performance critical for tasks such as graphics-heavy virtual workstations and sophisticated data science projects, enabling IT departments to leverage virtualization while benefiting from the powerful capabilities of NVIDIA GPUs for modern workloads. Installed on a physical GPU in a cloud or enterprise data center server, this software creates virtual GPUs that can be allocated across multiple virtual machines, allowing users to connect from any device, regardless of location. The performance delivered mirrors that of a traditional bare metal setup, ensuring a smooth user experience akin to working directly on dedicated hardware. Moreover, it integrates with standard data center management tools, supporting features such as live migration and the flexible allocation of GPU resources through fractional or multi-GPU virtual machine instances. This adaptability is especially advantageous for meeting shifting business demands and enabling remote workforce collaboration, ultimately driving enhanced productivity and operational efficiency. Furthermore, the ability to scale resources on-demand allows organizations to respond swiftly to changing workloads, making NVIDIA's vGPU a valuable asset in today's fast-paced digital landscape.

What is Axe Compute?

Axe Compute provides a robust bare-metal GPU infrastructure designed specifically for enterprise-level AI and machine learning needs, ensuring widespread global reach, dedicated clusters, and dependable accessibility. In approximately 48 hours, teams can obtain dedicated GPU clusters from a network spanning over 200 locations, enabling them to choose from various regions, GPU types, fabrics, interconnects, and topologies. This solution effectively addresses the frequently underestimated challenges of scaling AI, such as provisioning delays, cloud availability limitations, quota restrictions, rigid economic structures from providers, expenses related to data transfer, and performance issues that arise from virtualization. By offering unadulterated bare-metal access without virtualization overhead or interference from other users, Axe empowers teams to proficiently manage LLM training, inference, diffusion, fine-tuning, enterprise deployment, and a multitude of other AI-driven activities with greater control. Furthermore, its geographically distributed GPU infrastructure guarantees low-latency access that is in close proximity to both users and data, significantly reducing the need to shift data to centralized cloud locations, which in turn optimizes operations for teams engaged in intricate AI projects. This comprehensive approach not only boosts performance but also enhances the overall efficiency of AI workflows, making Axe Compute a valuable partner in the evolution of artificial intelligence.

Media

Media

Integrations Supported

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
Notenic
SF Compute

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

www.nvidia.com/en-us/data-center/virtual-solutions/

Company Facts

Organization Name

Axe Compute

Company Location

United States

Company Website

axecompute.com

Categories and Features

Cloud GPU

Not specified

Server Virtualization

Not specified

Categories and Features

AI Infrastructure

Not specified

Cloud GPU

Not specified

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