Deploy the substrate of Intelligence.
AetherFlow provides the high-performance distributed primitives required for the next generation of neural computing.
import aetherflow as af
# Initialize distributed cluster
cluster = af.Cluster(nodes=1024)
cluster.optimize_lattice("latency-priority")
# Execute zero-cost abstraction
result = cluster.compute(kernel=af.GhostThread)
print(f"Throughput: {result.ops_per_sec} PFLOPS")
# Initialize distributed cluster
cluster = af.Cluster(nodes=1024)
cluster.optimize_lattice("latency-priority")
# Execute zero-cost abstraction
result = cluster.compute(kernel=af.GhostThread)
print(f"Throughput: {result.ops_per_sec} PFLOPS")
Performance Coefficient
$$E = \frac{\sum_{i=1}^{n} (\psi_i \cdot \omega_i)}{\int_{t_0}^{t_1} \sigma(t) \, dt}$$