NVIDIA Tesla M60

4,096

CUDA Cores

16GB

VRAM

320

GB/s

Data Center
Updated April 21, 2026 • 2026 Edition
Tesla M60 GPU Specifications

Technical Specifications

4,096

CUDA Cores

557

Base MHz

1178

Boost MHz

16GB GDDR5

512-bit bus

Performance

9

FP32 TFLOPS

18

FP16 TFLOPS

300W

TDP

Cloud Availability

0

Available Instances

$0.00/hr

Starting Price

Detailed Specifications

Architecture Maxwell (Unknown)
Release Date 2015-08-30
Launch Price $4,500.00
Process 28nm
Transistors 10.4B

AI Features

none

Tensor Cores

Disabled

Transformer Engine

Not Supported

Flash Attention

Physical Specifications

Dimensions

10.5in

Length

4.4in

Width

2-slot

Height

About Tesla M60 GPU

The NVIDIA Tesla M60 is a powerful GPU designed for AI/ML workloads, offering exceptional performance for both training and inference tasks. With 16GB of VRAM and 4,096 CUDA cores, it provides the memory capacity and computational power needed for modern deep learning models.

Released in 2015, the Tesla M60 features Maxwell architecture with advanced AI accelerators including Tensor Cores and Transformer Engine support. This makes it ideal for large language models, computer vision tasks, and generative AI applications.

When considering cloud rental options for the Tesla M60, pricing starts at $0.00/hour from various providers. This GPU offers excellent price-to-performance for AI training workloads, with its high memory bandwidth of 320 GB/s enabling fast data transfer for large datasets.

The Tesla M60 features CUDA compute capability the latest and is compatible with all major deep learning frameworks including PyTorch, TensorFlow, and JAX. Its 28nm manufacturing process ensures efficient power consumption relative to performance output.

External Resources

Learn more about GPUs from these authoritative sources:

NVIDIA CUDA Documentation →

Official CUDA programming guide

NVIDIA GPU Specifications →

Official NVIDIA GPU specs

TechPowerUp GPU Database →

Comprehensive GPU specifications

CUDA Compute Capability Guide →

GPU compute capability reference

Top GPUs for Training and Inference

Category Rank 1 Rank 2 Rank 3
Best for Training NVIDIA H200 NVIDIA H100 NVIDIA B200
Best for Inference NVIDIA A40 NVIDIA A100 NVIDIA A10

Compare GPU specifications and cloud instances to find the best GPU for your workload.