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What is nexa.ai?
Nexa AI provides an advanced platform designed for building and deploying high-performance generative AI applications directly on devices. It addresses the challenges of model compression and edge deployment, enabling developers to run sophisticated AI models efficiently on resource-constrained hardware. The platform supports a wide range of state-of-the-art multimodal models, including text, audio, visual understanding, image generation, and function calling, from leading providers like DeepSeek, Llama, Gemma, Qwen, as well as Nexa's proprietary models like Octopus.
By leveraging proprietary model compression techniques such as quantization, pruning, and distillation, Nexa AI significantly reduces model size (by up to 4x) without sacrificing accuracy, saving storage and memory while speeding up inference. Its inference framework ensures optimized performance across diverse hardware (CPU, GPU, NPU) and operating systems, supporting chipsets from Qualcomm, AMD, Intel, NVIDIA, Apple, and custom hardware. This allows for rapid deployment (days instead of months), enhanced privacy, cost efficiency, and consistent low-latency performance independent of network connectivity.
Features
- On-Device Gen AI Development Platform: Build and deploy optimized, local AI applications.
- SOTA Multimodal Model Support: Run models like DeepSeek, Llama, Gemma, Qwen, Octopus for text, audio, vision, image generation, and function calling tasks on-device.
- Advanced Model Compression: Utilizes proprietary quantization, pruning, and distillation to reduce model size and memory usage by 4x without sacrificing accuracy.
- Fast Local On-Device Inference: Deploy models locally with up to 10x faster inference speeds using an optimized framework.
- Cross-Platform Deployment: Supports deployment across any hardware (CPU, GPU, NPU) and operating system, including chipsets from Qualcomm, AMD, NVIDIA, Intel, Apple.
- Accelerated Time-To-Market: Reduces model optimization and deployment time from months to days.
- Enterprise-Grade Support: Provides secure, stable, and optimized AI deployment at scale with comprehensive support.
Use Cases
- Developing On-Device Voice Assistants with real-time ASR, TTS, and STS.
- Implementing Visual Understanding capabilities directly on edge devices.
- Creating AI Chatbots with Local RAG for enhanced privacy and context awareness.
- Building On-Device AI Agents for automated tasks.
- Enabling local AI Image Generation on various hardware.
- Deploying AI in environments with limited or no network connectivity.
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