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AI PLATFORMS BUILT TO SCALE ACROSS FEDERAL PROGRAMS

Expand AI development across teams and programs with centrally managed, GPU-accelerated environments designed to align with Federal requirements.
AI PROGRAMS ARE OUTGROWING DEVELOPMENT ENVIRONMENTS

As AI programs expand across agencies and contracts, individual development environments often multiply without a common platform strategy. Disconnected GPU deployments can lead to inconsistent performance, limited collaboration, and difficulty enforcing security and operational standards.

Shared, governed infrastructure models can help agencies maintain visibility and control as AI workloads grow in size.

SCALABLE, GOVERNED AI PLATFORMS FOR FEDERAL PROGRAMS

Future Tech and NVIDIA enable Federal agencies and system integrators to scale AI development using secure, virtualized GPU platforms built on NVIDIA vGPU technology.

By combining NVIDIA vGPU software with Future Tech’s Federal-ready architecture, integration, and lifecycle expertise, agencies can provide teams with AI access that scales across programs while maintaining operational oversight and efficient resource use.

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The benefits for agencies:

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Shared AI development across teams and locations

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Consistent environments that support collaboration and reuse

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Governed access aligned to Federal security requirements

DESIGNED FOR FEDERAL AI
FROM DAY ONE

Standardized AI Environments at Scale

Deliver consistent GPU performance across virtual machines while ensuring deployments are uniform and centrally governed. With Future Tech and NVIDIA vGPU, teams can collaborate and reuse platforms across programs and contracts.

Secure, Governed Multi-tenant Access

Enable secure GPU sharing and workload isolation with centralized access controls aligned to Federal security postures. Future Tech and NVIDIA vGPU empower organizations to scale AI development across users without introducing unnecessary risks.

Operational Efficiency and Control

Designed by Future Tech for centralized operations and long-term platform management, shared GPU environments can support predictable scaling and more efficient use of GPU investments while maintaining visibility and control across programs.

WHY NVIDIA vGPU
FOR FEDERAL AI
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Near Bare-Metal Performance

NVIDIA vGPU delivers GPU-accelerated performance comparable to physical GPUs, enabling demanding AI workloads in virtualized environments.

Secure GPU Sharing and Isolation

Hardware-level isolation allows multiple users and workloads to safely share GPU resources within the same infrastructure.

Dynamic Resource Allocation

GPU resources can be flexibly assigned based on changing workload demands, improving utilization as workload demands change.

Centralized Management

NVIDIA vGPU integrates with enterprise virtualization platforms to support centralized monitoring and provisioning across virtual GPU environments.

Source: NVIDIA

Consistent Software Environments

Standardized GPU profiles and drivers support repeatable AI environments across virtual machines and programs.

Enterprise Virtualization Integration

NVIDIA vGPU supports enterprise hypervisors and VDI platforms, enabling GPU acceleration within existing virtualized infrastructure.

BUILD A SECURE AI FOUNDATION FOR YOUR MISSION PROGRAMS

Fill out the form to speak with a Federal AI solutions expert about deploying secure, AI-ready workstations that support today’s development needs and scale for future mission platforms.
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