Lenovo ThinkSystem SR670V2 Server

Brand: Lenovo | Category: Servers

SKU: LEN-SR670V2 | Part #: LEN-SR670V2 | MPN: LEN-SR670V2

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Omnixon Global stocks the Lenovo ThinkSystem SR670V2 (LEN-SR670V2), a purpose-built 2U rack-mount server engineered for AI, machine learning, and high-performance computing workloads across data centres and enterprise labs in the UAE, GCC, and Asia-Pacific. This platform supports up to 4 Intel Xeon Scalable processors (Sapphire Rapids or Ice Lake generation), delivering exceptional multi-socket performance for compute-intensive applications. The SR670V2 accommodates up to 4TB of DDR4 ECC registered memory at 3200 MHz and provides 8 PCIe 4.0 expansion slots, enabling seamless integration of GPU accelerators, storage controllers, and high-speed networking adapters. Its flexible drive architecture—supporting up to 8×2.5-inch or 4×3.5-inch hot-swappable bays with SATA, SAS, and NVMe protocols—makes it equally suited to performance-critical analytics clusters, virtualised infrastructure, and dense AI inference deployments requiring fast local I/O.

Key Features

• Multi-Socket Processor Support: Up to 4 Intel Xeon Scalable processors (Sapphire Rapids or Ice Lake) for extreme multi-threaded performance and scale-out workload distribution.
• Massive Memory Capacity: Up to 4TB of DDR4 ECC Registered DIMMs running at 3200 MHz, enabling in-memory analytics, large model training, and virtualised workload consolidation.
• AI-Optimised Architecture: Integrated design for GPU accelerator mounting and native support for NVIDIA and AMD parallel processing frameworks, ideal for deep learning and real-time inference.
• PCIe 4.0 Expansion: 8 full-height/half-length PCIe 4.0 slots providing high-bandwidth connectivity for GPUs, FPGA boards, and storage adapters without I/O bottlenecks.
• Flexible Storage Options: 8×2.5-inch or 4×3.5-inch hot-swappable drive bays with SATA, SAS, and NVMe support; supports mixed configurations for tiered performance and capacity.
• High-Speed Networking: Integrated 10GbE or 25GbE Ethernet ports with optional mezzanine card slots for additional network interfaces or in-band management traffic separation.
• Redundant Power: Dual hot-swappable 750W or 1100W power supplies ensure uninterrupted operation in critical data-centre environments without manual downtime.
• Integrated Management: Lenovo XClarity Controller enables remote power, firmware, event logging, and hardware diagnostics across geographically distributed server clusters.

Typical Use Cases

• GPU-Accelerated AI Inference: Real-time serving of large language models, computer vision pipelines, and recommendation systems at scale with multiple GPU accelerators per node.
• Machine Learning Model Training: Multi-socket, multi-GPU configurations for distributed deep learning, supporting frameworks like PyTorch, TensorFlow, and Horovod across enterprise AI labs.
• High-Performance Computing Clusters: Scientific simulation, computational fluid dynamics (CFD), and financial modelling workloads requiring massive memory pools and inter-node connectivity.
• Virtualised Data Centre Infrastructure: Hypervisor-based consolidation of virtual machines using VMware vSphere or KVM, leveraging 4-socket density and hot-swap storage for operational flexibility.
• In-Memory Analytics and Databases: SAP HANA, Oracle Exadata, and Teradata deployments storing and querying terabytes of data in DRAM for sub-second response times.
• Hybrid Cloud and Edge Compute: On-premises AI model serving and batch processing gateways supporting federated learning and low-latency inference at regional hubs.

The SR670V2 delivers exceptional compute density and upgradeability in a standard 2U form factor, balancing multi-socket scalability with flexible storage and networking for demanding workloads. Omnixon Global supplies the Lenovo ThinkSystem SR670V2 to data centres, AI research groups, and enterprises throughout the UAE, GCC region, and Asia, backed by local support and configuration expertise. Contact our team to discuss your infrastructure requirements and request a detailed quote tailored to your deployment scenario.

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