B2B Client Guide

Renting GPU Clusters

For Business Clients#

Nodera provides enterprise-grade GPU infrastructure for AI companies, research institutions, studios, and development teams that require high-performance computational power.

Why Choose Nodera#

Competitive Pricing#

  • 20% to 40% lower than major cloud providers
  • No long-term commitments required for on-demand usage
  • Pay-as-you-go flexibility
  • Volume discounts available

High Performance#

  • Latest NVIDIA GPUs, including H100, A100, and RTX 6000
  • NVLink multi-GPU configurations
  • Low-latency networking
  • 99.9% uptime SLA targets

Geographic Flexibility#

  • Data centers across North America, Europe, and Asia-Pacific
  • Choose the optimal region for your workload
  • Multi-region deployments available
  • Support for local data residency requirements

Technical Support#

  • 24/7 technical assistance
  • Dedicated account managers for enterprise clients
  • Custom configuration support
  • Migration assistance from other providers

Use Cases#

AI and ML Development#

  • Large language model training
  • Computer vision model development
  • Reinforcement learning research
  • Model fine-tuning and optimization
  • Hyperparameter search
  • Distributed training across multiple GPUs

Inference and Production#

  • High-throughput inference serving
  • Real-time prediction APIs
  • Batch inference processing
  • Model deployment and scaling
  • A/B testing infrastructure

3D Rendering#

  • Movie and television VFX
  • Architectural visualization
  • Product rendering
  • Animation rendering
  • Real-time ray tracing

Scientific Computing#

  • Molecular dynamics simulations
  • Climate and weather modeling
  • Genomic analysis
  • Financial modeling and risk analysis
  • Computational chemistry
  • Physics simulations

Blockchain and Web3#

  • Zero-knowledge proof generation
  • Blockchain validation
  • Cryptographic operations
  • Decentralized computation

Available Configurations#

Standard Instances#

Small (Entry)#

  • GPU: 1× NVIDIA A100 40GB
  • RAM: 96GB
  • Storage: 512GB SSD
  • Price: $2/hour
  • Ideal for: Development, testing, and small inference workloads

Medium (Balanced)#

  • GPU: 2× NVIDIA RTX 6000 Ada
  • RAM: 128GB
  • Storage: 1TB SSD
  • Price: $4/hour
  • Ideal for: Production inference and rendering

Large (Performance)#

  • GPU: 2× NVIDIA A100 80GB (NVLink)
  • RAM: 256GB
  • Storage: 2TB NVMe
  • Price: $8/hour
  • Ideal for: Large model training and distributed workloads

XLarge (Enterprise)#

  • GPU: 4× NVIDIA H100 80GB (NVLink)
  • RAM: 512GB ECC RAM
  • Storage: 4TB SSD RAID
  • Price: $16/hour
  • Ideal for: Frontier models and high-scale training

XXLarge (Premium)#

  • GPU: 8× NVIDIA H100 80GB (full NVLink mesh)
  • RAM: 1TB ECC RAM
  • Storage: 10TB NVMe
  • Price: $32/hour
  • Ideal for: Maximum performance and research clusters

Custom Configurations#

Contact the enterprise team for:

  • Custom GPU counts
  • Specific RAM requirements
  • Specialized networking
  • Long-term reserved capacity
  • Dedicated clusters

Pricing Structure#

On-Demand#

  • Hourly billing
  • No commitment required
  • Flexible scaling
  • Higher per-hour rate

Reserved (7+ Days)#

  • 15% discount
  • Guaranteed availability
  • Priority support
  • Early termination available

Reserved (30+ Days)#

  • 25% discount
  • Dedicated resources
  • Account manager included
  • Flexible scaling within reservation

Reserved (90+ Days)#

  • 35% discount
  • Custom SLA terms
  • Strategic partnership benefits
  • First access to new hardware

Volume Discounts#

  • 5+ GPUs simultaneously: 10% additional discount
  • 10+ GPUs: 15% additional discount
  • 20+ GPUs: 20% additional discount
  • Custom enterprise pricing available for larger deployments

Getting Started#

Step 1: Create a Business Account#

  • Visit nodera.io/business
  • Register company details
  • Verify your business email
  • Complete company KYC

Step 2: Initial Consultation#

  • Schedule a call with the Nodera team
  • Discuss your requirements
  • Receive configuration recommendations
  • Review pricing options

Step 3: Cluster Selection#

  • Choose a GPU configuration
  • Select a geographic region
  • Determine rental duration
  • Configure networking and storage

Step 4: Environment Setup#

  • Receive SSH access
  • Install required software and frameworks
  • Transfer data and models
  • Test connectivity and performance

Step 5: Launch Workload#

  • Begin computational tasks
  • Monitor usage via dashboard or API
  • Scale as needed
  • Access 24/7 support

Technical Specifications#

Network Performance#

  • 100 Gbps inter-GPU bandwidth via NVLink
  • 25 to 100 Gbps networking to the internet
  • Less than 1 ms intra-cluster latency
  • Less than 10 ms to major internet exchanges

Storage Options#

  • Local NVMe SSD included
  • Network-attached storage available as an add-on
  • S3-compatible object storage integration
  • Persistent volumes for long-term data

Software Environment#

  • Ubuntu 22.04 LTS by default
  • CentOS and RHEL available
  • Pre-installed CUDA, cuDNN, PyTorch, and TensorFlow
  • Custom images supported
  • Docker and Kubernetes available

Security#

  • Private VLANs
  • Firewall configuration
  • SSH key authentication
  • Optional VPN access
  • SOC 2 Type II certified facilities

Monitoring and Management#

Dashboard Access#

  • Real-time GPU utilization
  • Resource consumption metrics
  • Job queue status
  • Cost tracking
  • Performance analytics

API Integration#

  • RESTful API for programmatic control
  • Job submission and management
  • Resource provisioning
  • Billing and usage data
  • Webhooks for event notifications

Support Channels#

  • 24/7 technical support portal
  • Live chat for urgent issues
  • Dedicated Slack channel for enterprise clients
  • Phone support for priority clients
  • Regular architecture reviews