AkashML Launches, Promising 70-85% Cost Reduction for AI Inference on Decentralized Cloud

Greg Osuri, co-founder of Akash Network, announced today the live launch of AkashML, a new fully managed AI inference service operating on Akash Network's decentralized cloud. The service aims to simplify and significantly reduce the cost of deploying open-source AI models, offering a compelling alternative to traditional centralized cloud solutions.

AkashML is designed to make AI inference "simple, affordable, and automatic," enabling developers to run AI workloads on decentralized GPUs with unprecedented ease. According to a related announcement from Akash Network, "Deploying open models like DeepSeek shouldn’t cost $50K/month or require complex setup." The new platform addresses these challenges by providing an API-first approach to managed inference.

The service leverages the Akash Network, which bills itself as the "Premier Decentralized Cloud," to offer access to a global network of GPU resources. AkashML promises a substantial cost reduction, projecting savings of 70-85% compared to the high costs associated with centralized cloud providers for similar AI inference tasks. It supports popular open models such as Llama 3.3-70B, DeepSeek V3, and Qwen3-30B-A3B, available for immediate deployment across more than 65 datacenters worldwide.

Traditional cloud solutions often involve significant operational overhead, requiring weeks of engineering time for model packaging, server configuration, and shard management. AkashML simplifies this process with OpenAI-compatible APIs, allowing developers to migrate existing AI workloads in minutes without extensive code changes. This integration is expected to accelerate development and deployment cycles for AI-powered applications.

Akash Network, developed by Overclock Labs, utilizes its native utility token, AKT, to power transactions for GPU resources on its decentralized cloud. The launch of AkashML represents a strategic expansion of Akash Network's offerings, positioning it as a key player in providing accessible and cost-effective infrastructure for the burgeoning field of artificial intelligence.