NVIDIA Tesla M10 32GB GDDR5 PCIE 3.0 - Passive Cooling (vGPU VDI Solution) - GPU-NVTM10
BUS: PCI-E 3.0 16x Memory size: 32 GB Stream processors: 2560 Theoretical performance: TFLOP
All NVIDIA Ampere, NVIDIA Grace Hopper, NVIDIA Ada Lovelace GPU and NVIDIA Blackwell architectures are subject to a non-cancellable, non-returnable (NCNR) period of 52 weeks. Additionally, the product is subject to sanctions for certain countries and the end customer must be documented.
We can supply these GPU cards directly and with an individual B2B price. Contact us with your inquiry today.
Product code | 214.154227 |
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Part number | GPU-NVTM10 |
EAN | 672042241378 |
Manufacturer | NVIDIA |
Availability | ETA 4 weeks |
Warranty | 24 months |
Weight | 1 kg |
- Server system integrator & worldwide shipping
- Personal approach and tailor-made servers
- NBD warranties & cross-shipping
- Private cloud infrastructure
- Pre-sales & After-sales support
Detailed information
NVIDIA Tesla
Tesla products from the NVIDIA company introduce a line of computational graphics processors that are very similar to the NVIDIA Quadro series (they usually use the same chip). However, they have an isolated display interface. They're also available in passively-cooled form-factors, which are specifically appropriate for use in servers (rack-mounts).
CUDA Technology
Users of professional applications can, thanks to the CUDA architecture, use graphical CUDA stream processors. Thanks to this, it is possible to use the raw performance of a graphics card for specific calculations, which can significantly increase work speed compared to the use of a traditional processor, which are significantly limited by the lower number of cores.
Product Specifications
NVIDIA TESLA M10
Discover high-density graphics acceleration for enterprise virtualization.
The NVIDIA® Tesla® M10 GPU accelerator works with NVIDIA GRID™ software to deliver the industry's highest user density for virtualized desktops and applications. It supports 64 desktops per board and 128 desktops per Server, giving businesses the power to deliver great experiences to all of their employees at an affordable cost.
Virtualization Use Case | Density-Optimized |
Graphics | Virtualization |
GPU Architecture | NVIDIA Maxwell |
GPUs per Board | 4 |
Max User per Board | 64 (16 per GPU) |
NVIDIA CUDA Cores | 2560 NVIDIA CUDA Cores, (640 per GPU) |
GPU Memory | 32 GB of GDDR5 Memory, (8 per GPU) |
H.264 1080p30 Streams | 28 |
Max Power Consumption | 225 W |
Thermal Solution | Passive |
Form Factor: | PCIe 3.0 Dual Slot |
Parameters
Product line | Tesla |
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Architecture | Maxwell |
Gigabytes of memory | 32 |
Number of stream processors | 2560 |
Memory type | GDDR5 |
Slot count | 2 |
Monitor output | None |
Profile | FH |
Interface | PCI-E 3.0 16x |
Cooling type | Passive |
Power consumption (W) | 225 |