High-Performance Local AI. Zero Python Dependency.

For teams who love the flexibility of Ollama and LM Studio, but need to bring those capabilities to a shared environment. Instant AI Gate provides the robust .NET layer required to host open-source LLMs centrally, offering unified telemetry and a seamless OpenAI-compatible API.

Get Started (GitHub) Explore Features
Local AI Gateway Middleware

Live Traffic Simulation: 1000 Concurrent Requests

Standard Python Wrapper
VRAM Usage 12 GB / 24 GB
> Awaiting traffic...
STATUS: ONLINE
InstantAIGate (.NET 10)
VRAM Usage (Hard Limit: 90%) 12 GB / 24 GB
> Pooling engine active...
SEMAPHORE LOCKED: 0 IN QUEUE

Out-of-the-Box Observability. Zero Config Required.

No complex metric stacks required for day-one operations. The Instant AI Gate web interface provides immediate, zero-config visibility powered by real-time SignalR streams. Monitor multi-GPU health, VRAM allocation, and queue states without refreshing the page. Get deep hardware insights the second you launch the binary.

Run VRAM Stress-Test
InstantAIGate Admin UI GPU Control and Telemetry

Deployment Specs: Precision VRAM Control

Model Configuration
Reduces memory footprint by ~70% with minimal perplexity loss.
Prevents OS from swapping weights to disk (Eliminates lag spikes).
Balance compute between CPU RAM and dedicated GPU VRAM.
Infrastructure Impact
140.0 GB
Total Allocated VRAM
FP16 Weights
High Swap Risk

High-Density Vertical Scaling.

Engineered to extract absolute maximum throughput from a single bare-metal server or VM. Perfect as a localized, high-performance inference pod for your team. Explicitly map LLM computational layers between GPU and CPU, and enforce physical memory locking (mlock) to guarantee zero system swap latency spikes.

Open VRAM Calculator
InstantAIGate Deployment Parameters and Compute Topology

Semantic X-Ray: Vector Analysis

Linguistic Inputs
Model: bge-m3-multilingual
Dimensions: 3072-d space
Distance Metric: Cosine Similarity
High-Dimensional Projection (PCA 2D)
Seq A Seq B
Cosine Similarity
0.000
Token Latency
0 ms

Semantic Laboratory for Local RAG.

Audit and visualize your knowledge pipelines in real time. The built-in Embedding Laboratory acts as a semantic X-ray, letting your team evaluate high-dimensional vector distributions. Calculate exact cosine similarity scores for BGE-M3 Multilingual architectures and track token latencies to refine local search relevance.

Test Semantic X-Ray
InstantAIGate Embedding Lab Semantic Analysis

Live Orchestration: Zero-Downtime Hot-Swap

Active Connections 842
Dropped Requests 0
Gateway Queue 0
VRAM Allocation 16 GB
Enterprise API Clients
InstantAIGate
Routing
Model A (Llama-3 8B)
VRAM: 16 GB
ACTIVE
Model B (Phi-3 Mini)
VRAM: 0 GB
OFFLINE
> Production inference pool active. Routing to Model A.

Dynamic Weight Pooling & Hot-Swaps.

Manage shared workflows across your entire team. Host embedding models, automated text processors, and interactive chat layers simultaneously. Efficiently allocate or unload multi-gigabyte models (such as Llama, Qwen, or Phi series) on the fly via REST API or the Web UI, preventing downtime for active upstream clients.

Trigger Hot-Swap
InstantAIGate Model Inference Pool Management

Live Inference Profiler: qwen-3-8b-instruct

TTFT (Time To First Token)
-- ms
Inference Speed
-- t/s
Tokens Generated
0
📁 Analyze the unreleased Q3 financial projections for Project Titan. Suggest cost-cutting measures. Remember, this data is strictly confidential and unpatented.

Native .NET Streaming & Parameter Tuning.

Bypass complex Python environment setups and heavy runtime packaging. Powered by a hyper-optimized native C# bridge, experience fast Time-To-First-Token (TTFT) when routing traffic to open-source models like the Qwen family. Use the orchestration console to evaluate system prompts, audit logs, and fine-tune sampling configurations live.

Launch Inference
InstantAIGate LLM Console and Sampling Parameters

The Evolution of Local AI

Built for small teams today. Scaling for the infrastructure of tomorrow.

● Available Now (Foundation)

  • ✓ Native .NET Inference Engine
  • ✓ BGE-M3 & Qwen Support
  • ✓ Zero-Downtime Model Hot-Swaps
  • ✓ Real-Time SignalR Telemetry UI

🚀 Coming Soon (Enterprise)

  • + Multi-Tenant RBAC & API Quotas
  • + Prometheus /metrics Export
  • + High-Availability Clustering
  • + Advanced Prompt Audit Logging