Core Capabilities
Single-Hop Architecture
8192 GPUs connected in one hop. Zero network overhead, zero congestion, zero unpredictability.
1.7 PB/s Non-blocking Bandwidth
Everyone speaks at once. No queues, no waiting, no oversubscription.
Deterministic Latency
Direct communication eliminates network variability. Predictable, repeatable, reliable.
Zero Coordination Overhead
No CPUs, NICs, or switches in the data path. 100% of energy goes to computation.
Massive Scale Efficiency
Train frontier models without network bottlenecks. Real-time inference at microsecond latency.
Confidential AI Ready
Secure enclaves at massive scale. Built for regulated, high-responsibility environments.
Architecture Comparison
Traditional Cluster
- ×Multiple hops
- ×Network congestion
- ×Unpredictable latency
- ×Coordination overhead
GRIFO ENSEMBLE
- ✓Single hop (8192 GPUs)
- ✓Zero network overhead
- ✓Deterministic latency
- ✓Direct communication
What We Removed
What We Gained
Real Power
100% of energy goes to computation
Efficiency
No overhead. No waste.
Determinism
Predictable. Repeatable. Reliable.
Technical Specifications
Why GRIFO ENSEMBLE
Not a Cluster. A Coherent System.
GRIFO ENSEMBLE eliminates the network layer entirely. 8192 GPUs communicate in a single hop—impossible for any other architecture. No distributed coordination, no network congestion, no unpredictable latency.
Scale Without Complexity
Traditional clusters add complexity with scale: more hops, more switches, more failure domains. GRIFO ENSEMBLE scales by eliminating complexity. The architecture remains deterministic regardless of size.
Built for Mission-Critical AI
Designed for environments where reliability, determinism, and governance matter as much as performance. Regulated industries, confidential computing, and high-responsibility deployments.
Beyond Frontier Models
GRIFO ENSEMBLE doesn't just train larger models faster—it enables entirely new classes of AI that require massive coherent computation: real-time multi-model ensembles, continuous learning systems, and confidential AI at scale.
Built For
LLM Training
Train frontier models without network bottlenecks. Direct GPU communication eliminates distributed training overhead.
Real-time Inference
Microsecond latency for production workloads. Deterministic performance for time-sensitive applications.
Confidential AI
Secure enclaves at massive scale. Built for regulated environments where data sovereignty is non-negotiable.