Performance Rating
The Tesla M10 was a professional graphics card by NVIDIA, launched on May 18th, 2016. Built on the 28 nm process, and based on the GM107 graphics processor, in its GM107-570-A2 variant, the card supports DirectX 12. The GM107 graphics processor is an average sized chip with a die area of 148 mm² and 1,870 million transistors. Tesla M10 combines four graphics processors to increase performance. It features 640 shading units, 40 texture mapping units, and 16 ROPs, per GPU. NVIDIA has paired 32 GB GDDR5 memory with the Tesla M10, which are connected using a 128-bit memory interface per GPU (each GPU manages 8,192 MB). The GPU is operating at a frequency of 1033 MHz, which can be boosted up to 1306 MHz, memory is running at 1300 MHz (5.2 Gbps effective).
Contents:
Memory ML Performance Compute Power Architecture & Compatibility ML Software Support Clocks & Performance Power Consumption Rendering AdditionalMemory
Memory Size
Memory Type
Memory Bandwidth
Memory Bus Width
ML Performance
FP16 (Half Precision)
BF16 (Brain Float)
TF32 (TensorFloat)
Compute Power
FP32 (Single Precision)
FP64 (Double Precision)
CUDA Cores
RT Cores
Architecture & Compatibility
GPU Architecture
SM (Streaming Multiprocessor)
PCIe Version
ML Software Support
CUDA Version
Clocks & Performance
Base Clock
Boost Clock
Memory Clock
Power Consumption
Recommended PSU
Power Connector
TDP/TGP
Rendering
Texture Units (TMU)
ROP
L2 Cache
Additional
Slots
Release Date
Display Outputs
Recommendations
Эта видеокарта NVIDIA Tesla M10 предназначена для вычислительных задач, включая машинное обучение (ML), искусственный интеллект (AI) и научные вычисления. Она не подходит для гейминга из-за низкой производительности в играх, но отлично справляется с рендерингом и другими вычислительно интенсивными задачами.
Renting is cheaper than buying
H100 80Gb SXM (80GB)
NVIDIA
Флагманская GPU на архитектуре Hopper с 80 ГБ памяти HBM3 в форм-факторе SXM. Создана для обучения и инференса больших языковых моделей, HPC задач. Поддерживает FP64, FP32, TF32, FP16, BF16, FP8 и INT8 вычисления с Tensor Cores 4-го поколения.
from 299.11 RUB/hour
