AWS In stock
USA 4 configs 1x-4x
Dual-GPU Maxwell card for legacy virtual desktop deployments.
You can start using a M60 for $0.75/hr per GPU (on-demand). It's a low-risk price point for smaller workloads compared to the market high of $1.14/hr.
USA 4 configs 1x-4x
Heads up: We do our best to keep these specs & prices accurate. However, cloud costs may fluctuate based on region, usage, and other factors not listed here. These are estimates based on common setups and are for informational purposes only. Always verify current rates & exact specs with the provider before provisioning.
Dual-GPU card with 16GB total (8GB per die). Designed for virtual GPU (vGPU) and VDI workloads.
Maxwell architecture. Best kept to legacy VDI deployments rather than AI or modern compute.
The median on-demand price has held steady around $1.14/hr per GPU across providers.
With 8GB of VRAM, the M60 is mainly limited to small quantized models and lightweight GPU workloads.
The M60 has 8GB of VRAM. Multi-GPU setups increase total memory, but that memory is not automatically pooled across GPUs.
The M60 has 160 GB/s of memory bandwidth. Higher bandwidth helps with faster data transfer between GPU memory and compute cores.
The M60 supports 1 precision formats. Training: FP32.
No. The M60 is a PCIe-only GPU with no NVLink, so it is better suited to single-GPU inference and smaller-scale workloads than large distributed training jobs.
M60 pricing currently ranges from $0.75/hr to $1.14/hr per GPU, depending on the provider, instance type, and billing model.
At 720 hours per month, one M60 can cost between $540.00 to $820.80 per month, depending on the provider. Reserved and spot pricing can lower that further.
The M60 is available from 1 cloud provider: Amazon Web Services.
Yes. We currently track 4 M60 listings across 1 cloud providers:
| Billing type | Listings | Avg $/GPU/hr |
|---|---|---|
| On-demand | 4 | $1.04/hr |
| GPU Architecture | NVIDIA Maxwell™ |
| GPUs per Board | 2 |
| Max Users per Board | 32 (16 per GPU) |
| NVIDIA CUDA® Cores | 4096 NVIDIA CUDA Cores (2048 per GPU) |
| GPU Memory | 16 GB of GDDR5 Memory (8 per GPU) |
| H.264 1080p30 streams | 36 |
| Max Power Consumption | 300 W |
| Thermal Solution | Active/Passive |
| Form Factor | PCIe 3.0 Dual Slot |
Source: official Nvidia M60 datasheet.
Turing data center card for cloud graphics and low-power inference. From $0.06/hr per GPU across 9 providers.
Ampere data center card built for high-density virtual desktops. From $0.47/hr per GPU across 3 providers.
Ampere data center card for virtual desktops and inference. From $0.18/hr per GPU across 10 providers.
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