900-1G500-2500-000 NVIDIA Titan V 12GB HBM2 1455MHz GPU

High-Performance PCIe GPU Accelerator for Volta Tensor Core Compute with the 900-1G500-2500-000

The 900-1G500-2500-000 is a full-height, dual-slot NVIDIA Titan V PCIe add-in accelerator designed for workstation-class compute, technical visualization, and CUDA development where Volta Tensor Cores accelerate mixed-precision pipelines. It integrates efficiently into x86 server and workstation platforms that provide PCIe 3.0 x16 lanes, enabling predictable host-to-device connectivity for single-node prototyping and domain-specific acceleration.

Architecturally, the 900-1G500-2500-000 combines Volta SM resources with Tensor Cores and a 12GB HBM2 subsystem on a 3072-bit interface to sustain bandwidth-sensitive kernels and dense linear algebra. The PCIe Gen3 topology supports broad chassis compatibility and straightforward expansion planning, while the dual-slot axial cooling design targets controlled thermals in tower workstations and select rackmount GPU-capable enclosures. For storage and data staging, the card aligns well with NVMe-based local datasets and high-throughput scratch, minimizing idle cycles during iterative model development and simulation workloads.

Why Choose the 900-1G500-2500-000?

The 900-1G500-2500-000 delivers an enterprise-relevant density-to-performance ratio for teams that need Volta Tensor Core capability without redesigning the host platform around newer PCIe generations. It supports repeatable scaling through standard PCIe slots, maintains operational stability with dedicated auxiliary power connectors, and fits deployment patterns where a single high-end GPU per node accelerates targeted pipelines, validation runs, or visualization-driven workflows.

NVIDIA engineering emphasizes a consistent CUDA software ecosystem, deterministic driver support, and hardware-level acceleration features that map cleanly to modern data centre and engineering workstation standards. The 900-1G500-2500-000 benefits from this platform maturity, reducing integration risk across heterogeneous development and compute environments.

Key Applications:

• FP64/FP32 simulation and compute acceleration
• AI training and inference prototyping with Tensor Cores
• CUDA/OpenCL workstation offload
• Technical visualization and multi-display workflows

At Happyware - Server Hardware you benefit from non-binding offers tailored to your 900-1G500-2500-000 deployment requirements and from bulk order discount options when standardizing multiple nodes for labs, engineering teams, or departmental GPU capacity.