Akash Network unveils Confidential Computing with TEEs to secure AI and financial workloads, strengthening its decentralized cloud.
Author: Chirag Sharma
September 4, 2025, Akash Network, announced plans to roll out Confidential Computing, a feature outlined in its 2025 roadmap (AEP-65). Using Trusted Execution Environments (TEEs) from Intel (TDX/SGX) and AMD (SEV), the upgrade will secure AI and privacy-sensitive workloads at the processor level. By embedding hardware-based protections, Akash ensures data confidentiality even from node operators. It is strengthening its position as a decentralized alternative to centralized cloud giants like AWS.
Confidential Computing enables workloads to run in isolated environments, protecting both data and code during execution. For Akash, this opens the door to high-security use cases such as AI training, healthcare data processing, and financial services.
According to roadmap AEP-65, Akash will integrate with NVIDIA’s NVTRUST SDK to extend these protections to GPU-based AI tasks. This builds on Akash’s strong demand for GPUs, with 91% of A100 units already dedicated to AI and newer H100 GPUs in use.
By pairing TEEs with its permissionless, decentralized model, Akash can offer enterprises a secure yet cost-effective alternative to hyperscaler. This strengthens adoption within its 350+ contributor ecosystem and supports expansion into DeFi, gaming, and enterprise applications.
Decentralized networks have faced persistent challenges in safeguarding sensitive data, as workloads are executed across independent nodes. Without hardware-level protections, node operators could potentially access unencrypted data.
Confidential Computing addresses this by embedding encryption directly at the processor level, reducing reliance on intermediaries and mitigating risks. These includes risks such as Akash’s 2024 vulnerability, which allowed unauthorized command execution. TEEs further align with Akash’s open-source ethos, ensuring transparency through auditable smart contracts and governance processes.
As demand for decentralized AI and finance grows, the addition of Confidential Computing strengthens trust in Akash’s platform, making it more attractive to developers and enterprises requiring secure, verifiable infrastructure.
With a market cap of $272 million and a tenfold revenue increase in 2024, Akash is already a key player in decentralized cloud services. The introduction of Confidential Computing elevates its ability to compete with centralized providers by offering secure, scalable, and verifiable solutions for AI and Web3 workloads.
As Akash continues to expand its network capacity and partnerships, Confidential Computing could prove pivotal in onboarding enterprises seeking decentralized solutions with enterprise-grade security.
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