ByteCompute Launches Higgs Audio V2.5 on Its Model-as-a-Service (MaaS) Platform

Expanding Real-Time AI Voice Capabilities Across a Scalable, High-Performance Inference Ecosystem

Palo Alto, California — March 22, 2026 — ByteCompute Inc., a leading AI computing resource provider and Model-as-a-Service (MaaS) platform, today officially announced the availability of Boson AI Higgs Audio V2.5 on its production-grade MaaS infrastructure, available at: https://bytecompute.ai/model/bytecompute/higgs-audio-v2-5. This launch further strengthens ByteCompute’s position as a comprehensive AI platform supporting state-of-the-art models across language, vision, and audio domains, enabling enterprises to deploy AI applications with unmatched efficiency and scalability.

Product Launch Overview
Through this integration, Boson AI Higgs Audio V2.5 is now fully accessible via ByteCompute MaaS platform, offering developers seamless API access, scalable inference endpoints, and enterprise-grade deployment options.
Developers can now integrate real-time, high-fidelity voice generation and conversational AI capabilities directly into their applications without managing model hosting or infrastructure.

About Higgs Audio V2.5
Developed by Boson AI, Higgs Audio V2.5 represents a major advancement in AI-driven speech synthesis and multimodal voice interaction. The model is engineered to deliver human-like expressiveness, ultra-low latency, and production-ready scalability.
Core Capabilities

Real-Time Streaming Voice Generation
• Sub-200ms latency optimized for live interaction
• Streaming output for conversational agents and voice interfaces
• Suitable for customer support, AI companions, and voice-enabled apps
High-Fidelity and Emotionally Expressive Speech
• Advanced prosody modeling for natural tone, rhythm, and emphasis
• Support for multiple speaking styles (professional, casual, narrative, character voices)
• Studio-quality output for media, entertainment, and content creation
Multilingual and Cross-Lingual Support
• Native support for multiple major languages. Boson AI Higgs Audio V2.5 supports eight major languages with production-grade quality, including English, Mandarin Chinese, Japanese, and Korean as its primary, fully optimized languages, along with Spanish, French, German, and Italian through advanced cross-lingual generalization. This multilingual capability enables enterprises to deliver consistent, high-fidelity voice experiences across global markets, while maintaining strong performance in both native and zero-shot language scenarios.
• Cross-language voice consistency and tone preservation
• Accent adaptation for localized user experiences
Voice Cloning and Personalization
• Rapid voice cloning with minimal sample input
• Fine-grained control over pitch, speed, and timbre
• Enterprise-ready voice identity management
Multimodal Interaction Integration
• Seamless integration with LLM-based reasoning systems
• Enables real-time conversational AI agents with natural turn-taking
• Supports text + audio unified interaction pipelines

Enterprise Use Cases
The combined capabilities of Higgs Audio V2.5 and ByteCompute MaaS enable:
• AI Voice Agents: Real-time conversational assistants with natural speech
• Content Generation: Automated narration, dubbing, and podcast production
• Gaming & Interactive Media: Dynamic character voice generation
• Education Technology: Multilingual voice tutors and adaptive learning systems
• Telecom & IVR Systems: Next-generation intelligent voice interfaces

**About Boson AI **https://www.boson.ai/
Boson AI is an artificial intelligence company specializing in advanced multimodal models, including speech, language, and agent systems. Its mission is to enable natural and scalable human-AI interaction through high-performance model innovation.

About ByteCompute https://bytecompute.ai/
ByteCompute delivers a unified Model-as-a-Service (MaaS) platform powered by distributed GPU infrastructure across multi-cloud and edge environments. The platform is designed to provide:
• High-performance inference at scale with optimized GPU utilization
• Access to abundant AI models, including LLMs, multimodal systems, and advanced audio models
• Flexible deployment options (public cloud, private cluster, hybrid edge-cloud)
• Token-based and usage-based pricing models for cost efficiency
• Low-latency global endpoints supporting real-time AI applications
By abstracting infrastructure complexity, ByteCompute enables developers and enterprises to focus on building AI-native products while leveraging best-in-class model performance and reliability.

Media Contact:
ByteCompute, Inc.
Public Relations Department: Yvonne Chen
Email: [email protected]