Neo-Cloud Connectivity for AI

Plug GPU clouds into your stack in minutes. Use Graphiant’s stateless core, private backbone, and data exchanges to move training and inference data with control and proof.

Graphiant’s neo-cloud networking as a service

Connect GPU clouds in minutes through data exchanges, no appliances required.

Control routes, regions, and identities with policy-driven paths and end to end encryption.

Prove compliance with real-time path verification and audit-ready logs across training and inference.

Cut Neo-Cloud Costs Without Slowing AI Ambitions

GPU time is premium and large dataset movement triggers pricey egress and transfer fees.

Graphiant lowers spend with bandwidth based pricing, a private backbone that limits egress exposure, and no new appliances to deploy.

Subscribe. Connect.

Graphiant’s managed connectivity fabric steers traffic between clouds through a secure private backbone. Get started in minutes with zero appliance installs and bandwidth based pricing.

Stateless Core

Private Backbone

End-to-end Encryption

Get started with Graphiant today to:

  • Train in a GPU cloud without hardware investments
  • Pay only for what you consume with bandwidth based billing
  • Skip deployment and management of network appliances
  • Save up to 75% compared to traditional networking solutions
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The Latest From Graphiant

Explore Graphiant's latest insights and expert guidance designed to address today's complexnetworking challenges. Strengthen your connectivity, enhance security, and streamlineoperations with solutions built for current demands and future readiness.

FAQs

How does Graphiant help AI data centers move training data faster?

Graphiant enhances AI data center networking by creating predictable, high-throughputpaths between GPU clusters, object storage, and edge capture points. Its deterministicnetworking architecture minimizes congestion, while continuous network telemetry ensuresreliable throughput and faster training cycles for large-scale AI workloads.

Can I prioritize AI pipelines without building a tunnel mesh?

Graphiant’s intent-based networking model segments and prioritizes AI traffic, includingingest, train, and infer stages, using policy-based networking to manage bandwidthautomatically. This eliminates the need for complex tunnel meshes while keeping high-performance networking consistent across clouds and data centers.

Will my environment be ready for post-quantum cryptography (PQC)?

Graphiant’s networking fabric is crypto-agile, supporting algorithm updates and future post-quantum cryptography standards through simple policy changes. This enables organizationsto transition to NIST-approved PQC suites without incurring network downtime or hardwareupgrades.

Ready to plug in a neo-cloud?

Use Graphiant to connect GPU clouds with speed, policy, and proof.

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