gpu
NVIDIA Tesla M10
128-bit · 640 cores
Released
May 18, 2016
GPUDatacenterReleased Aug 30, 2015
NVIDIA Tesla M60
8 GB GDDR5 · 256-bit · 2,048 cores
The Tesla M60 was the rack-server flagship of NVIDIA GRID 2.0, pairing two GM204 Maxwell GPUs on one dual-slot PCIe card for a total of 4,096 CUDA cores and 16 GB of GDDR5. Each GPU has its own 8 GB on a 256-bit bus, and a single board serves up to 32 concurrent virtual-desktop or virtual-workstation users running applications such as CATIA, Creo, Maya and SolidWorks. Doubled H.264 encoder capacity and added H.265 encode made it the standard choice for high-density graphics virtualization. Board power is configurable between 225 W and 300 W, with a 240 W actively cooled variant. Announced in August 2015.
General
- Manufacturer
- NVIDIA
- Model
- Tesla M60
- Segment
- Datacenter
- GPU chip
- GM204
- Architecture
- Maxwell
- Release date
- Aug 30, 2015
- Price
Memory
- Memory size
- 8 GB
- Memory type
- GDDR5
- Bus width
- 256-bit
- Bandwidth
- 160 GB/s
- Memory clock
- 1,253 MHz
Clocks & silicon
- GPU clock
- 899 MHz
- Boost clock
- 1,178 MHz
- Shader units
- 2,048 CUDA Cores
- Tensor / AI cores
- —
- RT cores
- —
- Transistors
- 5.2 billion
- Technology (nm)
- 28 nmTSMC 28 nm
- TDP / TBP
- 300 W
Interface & APIs
- Bus interface
- PCIe 3.0 x16
- SLI / multi-GPU
- Dual GPU (2x)
- DirectX
- 12 (12_1)
- OpenGL
- 4.5
- Vulkan
- —
- Other APIs
- OpenCL 3.0, CUDA 5.2
AI support
- Precisions
- FP8FP16BF16INT8INT4TF32FP64
- AI accelerator
- None (no matrix units)
- Peak AI TOPS
- —
- Notes
- No matrix or tensor hardware. Machine-learning work runs on the CUDA cores in single precision, 2,048 per GPU and 4,096 across the board; half precision is supported for storage only, without the doubled arithmetic rate Pascal later introduced.
Related NVIDIA GPUs
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