WhiteHaX AI-ASM For GPU Hosting & AI Inference Platform Providers

Differentiate Your Infrastructure with Secure, HighPerformance, CostPredictable AI & Generate Substantial Additional Revenues

Home WhiteHaX AI-ASM For GPU Hosting & AI Inference Platform Providers

The Challenge Facing GPU & AI Inference Providers

GPU clouds and AI inference platforms are rapidly becoming the backbone of enterprise AI. But customers are no longer evaluating providers on price or raw compute alone.


    Enterprises now demand proof of:
  • Secure and abuseresistant AI workloads
  • Predictable inference latency at scale
  • Protection against costamplification and DoSstyle abuse
  • Stable performance under burst and multitenant load
  • Readiness for regulated and missioncritical AI use cases

Without AIspecific validation, performance incidents, noisyneighbor effects, and runaway inference costs become your problem—whether caused by customers or attackers. WhiteHaX AI-ASM enables GPU and AI inference providers to turn these risks into competitive advantages.

What WhiteHaX AI-ASM Enables You to Offer



1. SecureAI Testing – AI Workload Security Assurance Prove your platform is resilient against AInative attacks and misuse Capabilities for Your Customers
  • Prompt injection & jailbreak resistance validation
  • AI abuse and misuse simulations across shared GPU environments
  • Confidential data leakage and agent misuse testing
  • Validation of rate limiting, isolation, and abuseprevention controls
  • AI compliance readiness for regulated workloads

Why It Matters to You
  • Reduces risk of abuse spilling across tenants
  • Strengthens trust for enterprise and regulated customers
  • Positions your platform as “enterprisegrade,” not commodity GPU


2. OptimalAI Testing – Performance, Latency & Cost Optimization Demonstrate predictable performance and cost efficiency at scale Capabilities for Your Customers
  • Endtoend inference responsetime measurement (P50–P99)
  • Load and bursttraffic stress testing across GPU clusters
  • Multitenant contention and saturation analysis
  • Cost amplification and token abuse testing
  • Guidance on GPU sizing, batching, caching, and scaling strategies

Why It Matters to You
  • Fewer performance escalations and support incidents
  • Clear differentiation on latency and stability
  • Helps customers rightsize workloads and stay longer

Why SecureAI + OptimalAI Are Powerful for Hosting Providers

Customer DemandWhat WhiteHaX AI-ASM Delivers Provider Advantage
Secure AI workloads AIspecific attack & abuse testing Reduced platform risk
Predictable latency Realworld inference performance data Stronger SLAs
Cost transparency Costamplification & abuse analysis Lower churn
Show need for more Power Demonstrate how to improve response time and performance Upsell of more/higher GPUs
Enterprise trust Security + performance evidence Premium positioning

How Hosting Providers Can Use WhiteHaX AI-ASM


CustomerFacing Offers

  • AI Readiness Certification for hosted workloads
  • Premium “Enterprise AI” tier with validated security & performance
  • Predeployment validation for regulated customers
  • Ongoing AI performance and abuse monitoring programs

Internal Platform Validation

  • Stress test new GPU instance types and architectures
  • Validate isolation, throttling, and noisyneighbor controls
  • Benchmark inference stacks before customer rollout

Why WhiteHaX AI-ASM for GPU & AI Inference Platforms

  • Built specifically for AI behavior, not traditional apps
  • Tests security, performance, resilience, and cost together
  • Works across LLMs, agents, RAG, and inference APIs
  • Justifies upsell of more GPUs or higher performance GPUs
  • Enables additional revenues with premium, highermargin offerings

Bottom Line

Raw GPU capacity is no longer enough. Enterprises want secure, predictable, and costcontrolled AI infrastructure.

WhiteHaX AI-ASM helps GPU and AI inference providers prove it—turning trust, performance, and resilience into a competitive edge.

    Partner with WhiteHaX
  • Email: partners@WhiteHaX.com
  • Web: www.WhiteHaX.com