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NVIDIA ConnectX-8 SuperNIC C8180-DT0 800G High-Density AI Fabric for Large-Scale GPU Clusters
उत्पाद विवरण:
| ब्रांड नाम: | Mellanox |
| मॉडल संख्या: | C8180 (900-9X81E-00EX-DT0) |
| दस्तावेज़: | connectx-datasheet-connectx...1).pdf |
भुगतान & नौवहन नियमों:
| न्यूनतम आदेश मात्रा: | 1 टुकड़ा |
|---|---|
| मूल्य: | Negotiate |
| पैकेजिंग विवरण: | बाहरी डिब्बा |
| प्रसव के समय: | इन्वेंट्री के आधार पर |
| भुगतान शर्तें: | टी/टी |
| आपूर्ति की क्षमता: | परियोजना/बैच द्वारा आपूर्ति |
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विस्तार जानकारी |
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| प्रतिरूप संख्या।: | C8180 (900-9X81E-00EX-DT0) | MOQ: | 400GBE |
|---|---|---|---|
| बंदरगाहों: | दोहरे पोर्ट | समारोह: | LACP, Stackable, VLAN समर्थन |
| तकनीकी: | अनिद्रा | होस्ट इंटरफ़ेस: | Gen6 X16 |
| इंटरफ़ेस प्रकार: | QSFP112 | ट्रेडमार्क: | मेलानाक्स |
| प्रमुखता देना: | NVIDIA ConnectX-8 SuperNIC 800G,High-Density AI Fabric network card,GPU cluster network card with warranty |
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उत्पाद विवरण
NVIDIA ConnectX-8 SuperNIC C8180-DT0 800G High-Density AI Fabric
Model: 900-9X81E-00EX-DT0 | Multi-Host | High Density | AI Factory Optimized
The DT0 (Density / Hyperscale) variant is engineered for AI factories operating 10,000+ GPUs. Features NVIDIA Multi-Host technology (up to 4 hosts per adapter), advanced power management (under 28W typical), and telemetry-based congestion control for predictable large-scale performance.
Product Overview - Hyperscale Edition
NVIDIA ConnectX-8 SuperNIC C8180-DT (900-9X81E-00EX-DT0) is purpose-built for hyperscale AI operators. Unlike standard enterprise SKUs, the DT0 variant includes Multi-Host PCIe capabilities allowing a single adapter to serve up to four independent host processors — reducing NIC count per rack and lowering total cost of ownership. Enhanced telemetry and programmable congestion control ensure consistent tail latency across thousands of GPU nodes.
Hyperscale Advantages
- 4:1 Multi-Host consolidation (4 hosts per NIC)
- <28W typical power at full 800G load
- Advanced telemetry: per-flow latency, queue depth, ECN marking
- Adaptive routing support for load-balanced fabrics
- SHARPv3 in-network reduction for collective operations
Scalability Metrics
- Supports AI clusters of 100,000+ GPUs
- 16 million I/O channels per adapter
- Up to 8 logical ports via splitter cables
- Zero packet loss at line rate (PFC + ECN)
- RDMA over Converged Ethernet v2 (RoCEv2)
Multi-Host Architecture
| Configuration | Hosts Supported | Total Bandwidth per Host | Use Case |
|---|---|---|---|
| 1 Host | 1 | 800Gb/s | Maximum single-host throughput |
| 2 Hosts | 2 | 400Gb/s each | Balanced dual-node density |
| 4 Hosts | 4 | 200Gb/s each | Maximum rack density |
Target Deployments - Hyperscale AI Factories
- Large language model training clusters (GPT-5 scale)
- Autonomous vehicle training infrastructure
- Cloud provider GPU-as-a-service platforms
- National supercomputing centers
- AI semiconductor design simulation farms
Power & Thermal Optimization
The DT0 variant features enhanced power gating and dynamic voltage scaling, achieving 25-28W typical at 800Gb/s line rate — 15% more efficient than previous generation. Passive cooling sufficient for 1U servers with adequate front-to-back airflow.
Hong Kong Starsurge Group Co., Limited
As a specialized networking hardware provider since 2008, Starsurge serves hyperscale clients across APAC, North America, and Europe. For C8180-DT bulk procurement (500+ units), contact our hyperscale team for custom pricing and logistics.
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