THE FASTEST ARM64 INTERCONNECT
The PCIe4x16-based HyperLink1.0 reaches speeds of up to 100GB+/s for super-cluster ARM64 production deployments.
The PCIe4x16-based HyperLink1.0 reaches speeds of up to 100GB+/s for super-cluster ARM64 production deployments.
Qualcomm's 3nm Snapdragon X2 Elite Extreme ARM64 APU with 18-core Oryon CPU, integrated Adreno X2-90 GPU, and dedicated Hexagon NPU for AI/ML workloads.
18-core Oryon v3 CPU with 12 Prime cores (4.4-5.0 GHz) and 6 Performance cores (3.6 GHz), featuring 53MB cache, ARM Neon SIMD, and hardware cryptography acceleration.
128GB LPDDR5X-9523 unified memory with 192-bit interface delivering 228 GB/s peak throughput with ECC support for data integrity.
80+ AI TOPS from the dedicated Hexagon NPU with dual AI accelerators delivering industry-leading inference performance for INT8/INT4 quantized neural networks.
Superior AI compute efficiency at 3.1 TOPS per watt, maximizing performance within thermal and power constraints.
PCIe 4.0 NVMe slots with 7GB/s sequential read or Mini SAS HD 12Gbps connectivity for enterprise storage arrays.
Reimagined IPMI 2.0 dashboard and REST API for standards-compliant BMC with endpoints for automated provisioning, monitoring, and lifecycle management.
Redundant 100W USB-C PD 3.1 inputs with automatic failover and remote power cycling capabilities via BMC control.
Easy Docker and Kubernetes clustering with 24/7 remote support through C1-OS, with an offline AI app development playground, and production-level hardened security.
Seamless failover to Everest's cloud native solution in 286ms at the top 10% latency and under 96ms 50% of the time, ensuring zero-downtime operations.
Automatic code recognition, clusterization on Kubernetes, and secure on-prem one-click deployment for frictionless DevOps workflows.
Standard 1U form factor and modular cooling solution with up to 18x C1 boards in a single 1U server chassis.
Limited price for the first 100,000 pre-orders, when buying 8 or more boards. Single unit price is $1,299. Terms and Conditions apply.