File size: 1,780 Bytes
0c0af81
e250499
0c0af81
 
 
 
 
 
 
e250499
 
0acf578
e250499
0acf578
e250499
0acf578
e250499
0acf578
 
 
e250499
0acf578
e250499
0acf578
 
 
 
 
 
e250499
0acf578
 
e250499
 
0acf578
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
---
title: Darmm AI Ecosystem
emoji: πŸŒ–
colorFrom: red
colorTo: pink
sdk: docker
pinned: false
---

# πŸŒ– Darmm AI Ecosystem

**Engineering the future of Sovereign AI & Agentic Systems for Central Asia.**

Darmm is a high-performance AI ecosystem founded by [R3iwan](https://github.com/R3iwan). We specialize in state-of-the-art NLP, ASR, and TTS solutions tailored for the Kazakh and Russian languages. Our philosophy is rooted in **"Hard Pass"** engineering excellence and infrastructure-level optimization.

## πŸ— Our Hubs

* **[darmm.kz](https://darmm.kz)**: Main B2B gateway and Strategic AI Consulting.
* **[labs.darmm.kz](https://labs.darmm.kz)**: Our R&D powerhouse. Focus: CUDA kernels, vLLM throughput optimization, and custom Voice AI.
* **[academy.darmm.kz](https://academy.darmm.kz)**: High-stakes AI/ML LMS. Only 90%+ scores/code-review pass rates allowed.

## πŸ›  Tech Stack & Expertise

We don't just consume APIs; we build the backbone:
- **Inference & Optimization:** vLLM, TensorRT-LLM, FlashAttention-2, Quantization (FP8, AWQ, GGUF).
- **Voice Intelligence:** Real-time TTS (sub-100ms latency) and regional-specific ASR.
- **Training:** SFT, DPO/PPO, LoRA/QLoRA on massive localized datasets.
- **Retrieval:** Advanced GraphRAG and Agentic workflows for enterprise-grade precision.
- **Compute:** Deep knowledge of CUDA, Triton, and efficient GPU resource orchestration.

## πŸ‡°πŸ‡Ώ The Kazakh Language Mission
Our core mission is to solve the "low-resource language" problem. We curate proprietary datasets and fine-tune models that capture the cultural nuance, legal specificity, and phonetic richness of the Kazakh language.

---
*Building at the intersection of performance and cultural identity. Join us in shaping the Central Asian AI landscape.*