Escape the Cloud Tax – Post 2: “Cloud APIs vs Self-Hosting – Rethinking LLM Deployment at Scale”
Most teams begin their GenAI journey using cloud-based LLM APIs - and for good reason.- They're convenient- Pay-as-you-go feels cost-efficient-
Escape the Cloud Tax – Post 1: “Why We Built EdgeMatrix: One Runtime to Rule Inference”
The cloud made AI accessible.But it also made it expensive.And slow.And
EdgeMatrix: Scaling 70B Parameter Models for Enterprise AI
Scaling to 70B Models on Mid-Range Enterprise Hardware Using our EdgeMatrix framework, we recently completed benchmarking for the meta-llama/Llama-3.3-70B-Instruct model. The
Shakti 4B’s OCR Capabilities: A Comprehensive Evaluation
In the dynamic field of Optical Character Recognition (OCR), Mistral AI's recent introduction of Mistral OCR (Mistral OCR 2503) has
How EdgeMatrix is Redefining Enterprise AI: More Performance, Less Cost
As enterprises scale their AI adoption, they face a dual challenge—delivering real-time AI performance while optimizing infrastructure costs. High-end GPUs
Shakti-4B: The Multi-Modal AI Model Powering Vision-Language Intelligence
At SandLogic, we've consistently pushed the boundaries of AI innovation across diverse modalities. With the successful launch of Shakti-1B and
Shakti-1B: A Vision-Language Model Built for Enterprise Excellence
At SandLogic, our mission is to push the boundaries of artificial intelligence by developing highly optimized language models that cater
LingoForge: Revolutionizing the Way Enterprises Harness Generative AI
The rise of Artificial Intelligence (AI) has brought generative capabilities to the forefront of enterprise innovation. SandLogic’s LingoForge is not
Revolutionizing Automatic Speech Recognition: Samba-ASR by SandLogic
The field of Automatic Speech Recognition (ASR) is entering a transformative era with the introduction of Samba-ASR, SandLogic's state-of-the-art ASR
Shakti LLMs: Leading the Charge in Mobile AI Innovation
Redefining AI for Mobile Devices The future of AI is unfolding not just in massive data centers but in the palm
