Performance Rating
The Tesla M40 was a professional graphics card by NVIDIA, launched on November 10th, 2015. Built on the 28 nm process, and based on the GM200 graphics processor, in its GM200-895-A1 variant, the card supports DirectX 12. The GM200 graphics processor is a large chip with a die area of 601 mm² and 8,000 million transistors. It features 3072 shading units, 192 texture mapping units, and 96 ROPs. NVIDIA has paired 12 GB GDDR5 memory with the Tesla M40, which are connected using a 384-bit memory interface. The GPU is operating at a frequency of 948 MHz, which can be boosted up to 1112 MHz, memory is running at 1502 MHz (6 Gbps effective).
Contents:
Memory ML Performance Compute Power Architecture & Compatibility ML Software Support Clocks & Performance Power Consumption Rendering Benchmarks 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
TDP/TGP
Recommended PSU
Power Connector
Benchmarks
llama.cpp, gpt-oss 20B Q4_K - Medium
llama.cpp, llama 7B Q4_0
llama.cpp, llama-2-7b-Q4_0
llama.cpp, qwen3 32B Q4_K - Medium
llama.cpp, qwen3moe 30B.A3B Q4_K - Medium
Additional
Slots
Release Date
Display Outputs
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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.
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