Your AI model is ready. Is your infrastructure?

Move your AI workloads from POC to production with the right compute, architecture and capacity.

  • Training
  • Fine-tuning
  • Inference
  • Production AI
Front view of two GPU server racks coming online

Planning production AI in the next 30–90 days? Start the infrastructure conversation early.

GPU type, capacity, architecture, location, storage, networking and deployment timelines can materially affect performance, availability and economics. The earlier these are settled, the more options you have.

Share your timeline with us

Don’t start with the GPU.
Start with the workload.

AI infrastructure decisions should start with the workload, not a GPU model number. We help organizations evaluate the architecture, compute capacity, deployment location and economics required to move AI from experimentation to production.

  1. 1WorkloadWhat you are running, and at what scale
  2. 2ModelSize, architecture and precision
  3. 3GPUClass and generation that fit the model
  4. 4MemoryGPU memory per card and host RAM
  5. 5ClusterNode count and interconnect
  6. 6StorageThroughput for datasets and checkpoints
  7. 7NetworkFabric, bandwidth and egress
  8. 8LocationLatency, residency and compliance
  9. 9CostCommercial model and total cost

Start at step one. Tell us what you are running and we will work through the rest with you.

Share Your Requirement

What are you building?

Each stage of the model lifecycle puts different demands on compute, memory and storage. Pick the one closest to your plan.

AI Applications

Infrastructure for GenAI, AI agents, vision, speech, LLM applications and AI-native SaaS.

Discuss an AI application

Production AI is an infrastructure problem, not just a GPU problem.

A model that runs well in a notebook still needs storage that keeps up, a network that doesn’t bottleneck, a place to run that meets your compliance needs, and a cost profile that holds at scale.

The GPU is one layer of the stack. We plan all of them together.

Plan the Full Stack With Us
Economics
Cost optimization
Operations
ScalingMonitoring
Orchestration
Kubernetes
Placement
Deployment locationData sovereignty
Network
Networking
Data
High-performance storage
Compute
GPU computeGPU clustersCPU and memory

Not sure which GPU or architecture you need?

Tell us about your workload. Our team can help evaluate your training, fine-tuning or inference requirements and identify suitable infrastructure options.

Why ZNet

An infrastructure partner that starts with your workload and stays with you through deployment.

Email Your AI Requirement
  • Access to multiple infrastructure options

    Recommendations follow your workload, not a single platform we need to fill.

  • Workload-led architecture consultation

    Compute, memory, storage and network sized around what you are actually running.

  • Training, fine-tuning and inference

    Infrastructure for every stage, from first training run to production traffic.

  • India and global deployment

    In-country options for data residency, or regions closer to your users worldwide.

  • Technical and commercial consultation

    Architecture and pricing discussed together, so the design fits the budget.

  • Cloud and infrastructure expertise

    Backed by ZNet’s cloud and infrastructure team.

  • From architecture to deployment

    One team from the first conversation through go-live.

Talk to your regional team

Prefer a named contact? Reach the AI infrastructure specialist for your region directly.

Outside India, or not sure who to contact?
info@znetlive.com 08047360123

Tell us about your AI workload

A few details help us bring the right specialist to the first conversation.

  1. 1
    We review your requirement

    Workload, timeline and any GPU or location preferences.

  2. 2
    An infrastructure specialist contacts you

    By email or phone, whichever you prefer.

  3. 3
    We map suitable options

    Architecture, capacity, location and commercials.

Time-sensitive? Reach us directly.

info@znetlive.com 08047360123

We’ll connect you with the specialist for your region.

Deployment timeline

GPU requirement

Preferred way to reach you Optional

Prefer talking directly? info@znetlive.com 08047360123