πŸ”’ NeuralOps VPN-Secured Private inference behind encrypted WireGuard tunnel. See Research β†’
AINNA LLM Background
Now Live in Malaysia

Local AI Models. Private Data Path.

Designed for on-premise LLM workloads in Malaysia-controlled infrastructure. Pricing, performance, and residency depend on the approved deployment configuration. Planned integrations include task segmentation, smart routing, and parser adapters.

Direct Answer

What is a Private LLM?

A Private LLM is a model deployment designed to keep inference, access and data handling under organisational control. It can run locally or behind a private network, depending on the architecture and operational requirements.

πŸ” Private model layer of NeuralOps LLM Hub is only accessible through whitelisted VPS via WireGuard VPN. See Research β†’
GPU Powered
Latency Validated per Deployment
BM Support
Pilot
Pricing Estimate
Target
Latency Validation
Local
Residency by Design
7+
Planned Model Types

Choose Your Model

Access to world-class open-source models, optimised for local deployment

Q3.5

Qwen3.5 βˆ‘

Alibaba Cloud. Multimodal model (text+image) with 128K context window.

RoleMultimodal Chat
Context128K tokens
Best ForMultimedia, Long docs
L3

Llama-3.3 βˆ‘

Meta. Instruction-tuned for complex tasks and reasoning.

RoleComplex Tasks
Context128K tokens
Best ForReasoning, Coding
DS

DeepSeek R1 βˆ‘

DeepSeek AI. Deep reasoning & strategic analysis.

RoleAudit & Strategy
Best ForCompliance, Planning
K2

Kimi K2 βˆ‘

Moonshot AI. Long-context champion for documents.

Context256K tokens
Best ForLong docs, Research
GLM

GLM βˆ‘

Tsinghua AI Lab. Coding & system generation.

RoleCoding & System
Best ForCode generation, System repair
G

Gemma βˆ‘

Google DeepMind. Fast classification & tagging.

RoleClassification & Tagging
Best ForProduct classification, Tagging
M

Mistral βˆ‘

Mistral AI. Translation & rewriting.

RoleTranslation & Rewriting
Best ForContent translation, Rewriting

How Models Are Rated

Auto-cycling through AINNA LLM Hub models each scored across 6 weighted dimensions

Currently Evaluating Qwen3.5 auto-cycling...
Accuracy 0%
Task Fit 0%
Speed 0%
Cost Efficiency 0%
Safety 0%
Low Edit Needed 0%
Performance Radar
Loading model scores…
AINNA LLM Hub Rating
0 / 100
Final Score = Accuracy Γ— 0.25 + Task Fit Γ— 0.20 + Speed Γ— 0.15 + Cost Γ— 0.15 + Safety Γ— 0.15 + Low Edit Γ— 0.10

Simple, Transparent Pricing

Illustrative pilot packages. Final pricing, token limits, support, and service levels are confirmed in the customer agreement.

Starter
RM20
1 Billion
tokens included
  • Access to all models
  • Standard API
  • Email support
Most Popular
Growth
RM49
2 Billion
tokens included
  • Priority API access
  • Usage analytics
  • Priority support
  • Custom fine-tuning
Scale
RM99
4 Billion
tokens included
  • Dedicated resources
  • SLA by contract
  • Support hours by contract
Need more? Enterprise plans available with custom pricing.

Why Choose Local?

Feature AINNA LLM OpenAI
Data Location MY Only Global
Cost per 1M tokens Pilot estimate Varies by model
Latency Deployment target Varies by model
Bahasa Malaysia Optimized Limited
Support MY Team Global

Ready to Go Local?

Explore a controlled local pilot with deployment-specific pricing, performance validation, and data-residency controls.

Research evidence: Research Hub Β· Private AI Architecture

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