Secure multi-cloud compute orchestration with TEE and GPU CC support
Project description
Anansi Compute
Secure multi-cloud compute orchestration with CPU TEE and GPU Confidential Computing support.
Quick Start (30 seconds)
# 1) Install
%pip install anansi-compute==0.1.0
# 2) Configure
import anansi
anansi.configure(
endpoint="https://api.rewsr.com",
api_key="your_api_key_here"
)
# 3) Run secure computation
result = anansi.compute(
fn="vec_add",
args=([1, 2, 3], [10, 20, 30]),
policy={"min_trust": "GPU_CC", "allowed_clouds": ["azure", "gcp"]}
)
print(result["result"]) # [11, 22, 33]
Features
- CPU TEE Support: AMD SEV-SNP, Intel TDX protection
- GPU Confidential Computing: NVIDIA H100 with attestation
- Multi-cloud: Auto-route across AWS, Azure, GCP based on policy
- Cost Control: Built-in budget limits and optimization
- Verifiable: Cryptographic attestation and audit trails
Supported Platforms
- Databricks: Drop-in replacement for compute workloads
- Snowflake: External functions for SQL integration
- Jupyter/Python: Direct API access
- REST: Universal HTTP interface
Documentation
License
MIT License - see LICENSE file.
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