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NVIDIA Tesla M10 32GB GDDR5 PCI Express accelerator card

NVIDIA

NVIDIA Tesla M10 32GB GDDR5 graphics card

SKU CH-Q79M-7QW38

Multi-GPU accelerator with 32 GB GDDR5 memory on a PCI Express 3.0 x16 interface for dense virtual desktop and compute workloads

  • InterfacePCI Express 2.0 x16
  • Chipset ManufacturerNVIDIA
  • Memory Size32
  • Memory TypeGDDR5
  • 32 GB GDDR5 memory enables large dataset processing
  • PCI Express 3.0 x16 interface provides high-bandwidth host connectivity
  • PCI Express 2.0 x16 electrical compatibility fits existing server slots
  • Accelerator architecture reduces parallel workload completion time
  • NVIDIA Tesla M10 chipset delivers GPU compute for virtualised environments

Multi-GPU Virtualisation Accelerator

The NVIDIA Tesla M10 packs four Maxwell GPUs and 32 GB of GDDR5 memory onto a single full-height card. It targets data-centre workloads such as virtual desktop infrastructure and remote rendering where many users share one physical server. The board plugs into a PCI Express slot and requires no external display cables.

PCI Express 2.0 x16 Bandwidth Limit

The card communicates over a PCI Express 2.0 x16 link, capping host-to-device throughput at the 2.0 generation rate. System builders must ensure the motherboard slot negotiates at x16 width to avoid further reduction. Workloads that stream large textures or frame buffers across the bus will hit this ceiling before the compute engines saturate.

Passive Dual-Slot Server Build

A passive heatsink covers all four GPUs and occupies two expansion slots, relying on directed server airflow rather than onboard fans. The bracket carries no video outputs, so the card cannot drive a monitor directly. Installation is limited to chassis with sufficient front-to-back cooling and dual-slot clearance.

Priekšrocības

  • 32 GB GDDR5 memory enables large dataset processing
  • PCI Express 3.0 x16 interface provides high-bandwidth host connectivity
  • PCI Express 2.0 x16 electrical compatibility fits existing server slots
  • Accelerator architecture reduces parallel workload completion time
  • NVIDIA Tesla M10 chipset delivers GPU compute for virtualised environments

Specifikācijas

BrandNVIDIA
Part NumberNVIDIA Tesla M10
InterfacePCI Express 2.0 x16
Chipset ManufacturerNVIDIA
Memory Size32
Memory TypeGDDR5

Jautājumi par šo preci

Which Tesla M10 model should I pick if I need 32 GB of memory?

The listed card already provides 32 GB of GDDR5 memory, so no additional capacity variant is required for that amount.

What does the 32 GB GDDR5 figure mean when the card is installed in a server?

It gives each of the four onboard GPUs 8 GB of dedicated frame buffer for virtual desktop or compute workloads.

Will the PCI Express 2.0 x16 interface limit bandwidth in a PCIe 3.0 slot?

The card negotiates at PCIe 2.0 speeds, capping throughput to the 2.0 x16 maximum even in a 3.0 slot.

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