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The high-throughput, private cloud deployment platform for regulated enterprises. Run DeepSeek, Llama, and proprietary models inside your AWS, Azure, or on-premise VPC. Zero data retention, 3.8x inference throughput, and 73% lower GPU infrastructure costs.
Seamlessly Integrated With Your Enterprise Infrastructure
Built from day one to satisfy the most stringent compliance standards for banking, defense, and healthcare.
Independently audited controls verifying enterprise data privacy, access governance, and system resilience.
Business Associate Agreement (BAA) ready for processing clinical patient records and medical imaging.
Global gold standard for continuous vulnerability assessment, infrastructure defense, and threat isolation.
Neither prompts nor generated completions are ever stored on disk, cached, or utilized for model training.
See real-time throughput, P99 latency, and token execution running entirely within an isolated VPC environment.
From low-level GPU kernel optimizations to high-level security guardrails and API routing.
Deploy directly inside your dedicated AWS, Azure, GCP VPCs, or bare-metal data centers. Weights and inference tokens execute entirely within your private network with zero public internet exposure.
Custom CUDA kernels integrated with PagedAttention, speculative decoding, and prefix KV-cache reuse. Achieve up to 3.8x the throughput of standard Hugging Face endpoints on DeepSeek and Llama models.
Decommission expensive GPU nodes automatically during low-traffic windows and spin up replicas within milliseconds during request bursts. Increase hardware utilization from 20% to over 85%.
Drop-in replacement for OpenAI SDKs and REST APIs. Change a single `base_url` to connect your internal applications. Dynamically route queries between small fast models and large reasoning engines.
Automated real-time personally identifiable information (PII) anonymization, prompt injection defenses, and compliance keyword filtering. Full immutable audit logging for every inference call.
Turn messy internal PDFs, spreadsheets, and databases into reliable context. Built-in hybrid vector search and semantic rerankers eliminate hallucinations and integrate with your CRM/ERP tools.
All models come pre-compiled with optimized vLLM kernels, quantized weights, and certified Zero Data Retention configurations.
State-of-the-art open reasoning model matching proprietary frontier intelligence on complex math, logic, and code generation.
Multi-head latent attention (MLA) architecture optimized for ultra-fast general enterprise workflows and structured extraction.
Meta's flagship open-weights model delivering industry-standard enterprise instruction following and domain knowledge.
World-class multilingual understanding, dense multi-step reasoning, and reliable structured JSON schema outputs.
Specialized code generation engine rivaling proprietary coding models on 90+ programming languages and unit test generation.
Small language model powerhouse for high-concurrency edge deployments, sub-second routing, and instant classification.
Decouple enterprise applications from underlying GPU hardware with absolute data sovereignty.
Zero code changes to existing enterprise systems
Token-level redaction & enterprise guardrails
vLLM & Ray distributed execution engines
100% on-premise memory & KMS isolation
Compare WildToken private infrastructure against public cloud commercial APIs and building it in-house from scratch.
| Evaluation Criterion | WildToken (In-VPC) Enterprise Best | Public Commercial APIs | DIY In-House (Raw K8s) |
|---|---|---|---|
| Data Sovereignty & Zero Data Retention | ✓100% In-VPC or Air-Gapped. Zero Data Retention (ZDR) cryptographically guaranteed. | ✕Third-party multi-tenant servers. Prompts and tokens leave enterprise firewall. | !In-VPC, but requires writing complex custom token scrubbers and audit proxies. |
| Inference Throughput & Acceleration | ✓3.8x throughput via customized vLLM v0.6.4, SGLang, and Speculative Decoding. | ✕Variable public queue latency, unpredictable throttling, and strict rate-limits. | !Stock Hugging Face or unquantized vLLM. Frequent CUDA OOM panics under surge load. |
| Autoscaling & Scale-to-Zero | ✓Sub-second scale-to-zero. Idle GPUs dynamically de-allocated to slash idle costs. | ✕Fixed retail token pricing with 80%+ vendor margin markups. | !Complex KEDA engineering required. Expensive GPU nodes often left running 24/7. |
| Cloud Commit Credit Recognition (EDP / MACC) | ✓100% eligible. Compute runs in your cloud account and burns pre-committed spend. | ✕Ineligible. Invoiced separately by third-party vendor without retiring cloud commits. | !Eligible, but custom DevOps headcount ($800k+/yr) cannot burn cloud infrastructure credits. |
| Open-Source & Fine-Tuned Model Freedom | ✓Deploy any open-source or custom model (DeepSeek-R1, Llama 3.3, Qwen 2.5, Phi-4). | ✕Locked into proprietary vendor models and unannounced API deprecation schedules. | !Full freedom, but manual weight conversions, FP8 quantization, and testing required. |
| Time-to-Production Readiness | ✓Under 24 hours via automated Terraform modules and Helm deployment charts. | ✕Instant API key, but zero customization, VPC peering, or compliance isolation. | !6 to 9 months of engineering time to build reliable distributed inference clusters. |
| Enterprise SLA & Dedicated Support | ✓99.99% Uptime SLA with dedicated Principal Solutions Architect on shared Slack/Teams. | ✕Tiered ticket queues with no private cluster uptime or latency guarantees. | !Internal infrastructure engineers on-call 24/7 for driver and kernel troubleshooting. |
| Enterprise Readiness Score | 98 / 100Recommended | 42 / 100Data residency blocker | 58 / 100High DevOps overhead |
Estimate your infrastructure savings by migrating high-throughput production LLM workloads into your private cloud.
Tailored hardware configurations, fine-tuning recipes, and compliance guardrails proven across Fortune 500 enterprises.
Empower quantitative research, algorithmic trading audits, and institutional earnings analysis. Deploy frontier reasoning models (DeepSeek-R1) in isolated financial VPC subnets with zero transaction or portfolio exposure.
Have questions regarding VPC peering, GPU sizing, or security certifications? Everything you need to know.
Have a custom architectural requirement or air-gapped on-premise inquiry?
Meet with our Principal Infrastructure Architects for a 30-minute deep dive on GPU sizing, VPC topologies, and latency benchmarks.
Our solutions engineering desk monitors contact@wildtoken.org around the clock.
Prefer a written technical proposal first? Submit your workload parameters below to receive a tailored in-VPC network topology, GPU cluster BOM, and TCO model within 2 hours.