ADVANCED R&D
The Ekolabs AI Lab
Where we build the future of Sovereign AI.
System Status
ONLINE
ACTIVE WORKLOAD
Llama-3-70B-Instruct (Quantized)
VRAM Usage84GB / 128GB
Compute Load42%
RECENT JOBS
- Fine-tune: Legal-BERTCOMPLETED
- RAG Indexing: 50k DocsCOMPLETED
- Hallucination EvalRUNNING
ACTIVE RESEARCH
Pushing the boundaries of Sovereign Intelligence.
LAB_STATUS: ACTIVE
RUNNING_JOBS: 2
EXP-091TRAINING
Project: SILENT-VOICE
Fully offline, low-latency voice-to-voice model designed for secure, air-gapped environments.
PROGRESS78%
#Audio#Privacy#Edge AI
EXP-104VALIDATION
Project: NEURAL-SHIELD
Real-time adversarial attack detection system for Large Language Model inputs and outputs.
PROGRESS92%
#Security#Alignment#Red Teaming
DGX-SPARK-CLUSTER
UNIT_ID: EK-LAB-01..04
NVIDIA
INFRASTRUCTURE
We don't just rent APIs.
We own the compute.
Ekolabs operates an in-house AI Lab powered by a 4-Unit NVIDIA DGX Spark™ Cluster.
"We can evaluate up to 70B parameter models locally; larger models (405B+) are tested via private cloud endpoints to ensure maximum security."
Lab Specs Inventory
- Model:NVIDIA DGX Station A100 (x4)
- VRAM:320GB HBM2e Total
- CPU:AMD EPYC™ 64-Core
- Network:Dual 10GbE + InfiniBand
- Storage:30TB NVMe Gen4
Throughput
180
Tokens/sec
Inference
12ms
Latency (P99)
Saving
~40%
vs Cloud
SCIENTIFIC RESEARCH
We don't just build.
We publish.
Read our latest research on mitigating hallucinations in Large Language Models using hybrid verification systems.
U.S. Provisional Patent Application
63/888,831
Provisional
Intelligent Automated Document Processing System
A novel methodology for high-precision information retrieval and classification in unstructured datasets, reducing error rates by 37% in production environments.
DS
David Santos
Co-Inventor
