Why choose the RTX 5880 Ada?

48GB GDDR6 with Ada Lovelace FP8 Tensor Cores. Professional workstation GPU with ECC memory. Good balance of AI and visualization capabilities.

When is the RTX 5880 Ada not a good fit?

Workstation pricing. For pure AI workloads in the cloud, the L40S is more cost-effective with equivalent specs.

Are RTX 5880 Ada prices going up or down?

On-demand pricing has increased by about 48% since January 2026, from $0.41 to $0.60/hr per GPU.

What size AI models can the RTX 5880 Ada run?

With 48GB of VRAM, the RTX 5880 Ada can typically run models up to about 30B parameters in FP16, or 70B-class models in 4-bit quantized form for inference.

How much VRAM does the RTX 5880 Ada have?

The RTX 5880 Ada has 48GB of VRAM. Multi-GPU setups increase total memory, but that memory is not automatically pooled across GPUs.

What is the RTX 5880 Ada's memory bandwidth?

The RTX 5880 Ada has 960 GB/s of memory bandwidth. Higher bandwidth helps with faster data transfer between GPU memory and compute cores.

What data types does the RTX 5880 Ada support?

The RTX 5880 Ada supports 6 precision formats. Training: BF16, FP16, TF32, FP32. Inference: FP8, INT8.

Does the RTX 5880 Ada support NVLink?

No. The RTX 5880 Ada 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.

Nvidia RTX 5880 Ada

Professional Ada Lovelace GPU for AI rendering and visualization.

Compare vs other GPUs →

Key Specifications

Architecture

Ada Lovelace

Memory

48GB GDDR6

Memory Bandwidth

960 GB/s

Release date

Early 2024

We couldn't find any available RTX 5880 Ada GPUs. Search for alternative GPUs.

Frequently Asked Questions

Why choose the RTX 5880 Ada?: 48GB GDDR6 with Ada Lovelace FP8 Tensor Cores. Professional workstation GPU with ECC memory. Good balance of AI and visualization capabilities.
When is the RTX 5880 Ada not a good fit?: Workstation pricing. For pure AI workloads in the cloud, the L40S is more cost-effective with equivalent specs.
Are RTX 5880 Ada prices going up or down?: On-demand pricing has increased by about 48% since January 2026, from $0.41 to $0.60/hr per GPU.
What size AI models can the RTX 5880 Ada run?: With 48GB of VRAM, the RTX 5880 Ada can typically run models up to about 30B parameters in FP16, or 70B-class models in 4-bit quantized form for inference.
How much VRAM does the RTX 5880 Ada have?: The RTX 5880 Ada has 48GB of VRAM. Multi-GPU setups increase total memory, but that memory is not automatically pooled across GPUs.
What is the RTX 5880 Ada's memory bandwidth?: The RTX 5880 Ada has 960 GB/s of memory bandwidth. Higher bandwidth helps with faster data transfer between GPU memory and compute cores.
What data types does the RTX 5880 Ada support?: The RTX 5880 Ada supports 6 precision formats. Training: BF16, FP16, TF32, FP32. Inference: FP8, INT8.
Does the RTX 5880 Ada support NVLink?: No. The RTX 5880 Ada 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.

Technical Specifications


GPU Memory	48GB GDDR6
Memory Interface	384-bit
Memory Bandwidth	960 GB/s
NVIDIA Ada Lovelace Architecture-based CUDA Cores	14,080
NVIDIA Fourth-generation Tensor Cores	440
NVIDIA Third-generation RT Cores	110
Single-Precision Performance	69.3 TFLOPS
RT Core Performance	160.2 TFLOPS
Tensor Performance	1108.4 TFLOPS
System Interface	PCIe 4.0 x16
Power Consumption	Total board power: 285 W
Thermal Solution	Active
Form Factor	4.4" H x 10.5" L, dual slot
Display Connectors	4x DisplayPort 1.4a
Encode/Decode Engines	3x encode, 3x decode (with AV1 support)
VR Ready	Yes
vGPU Software Support	NVIDIA vPC/vApps, NVIDIA RTX Virtual Workstation
Graphics APIs	DirectX 12, Shader Model 6.6, OpenGL 4.6, Vulkan 1.3
Compute APIs	CUDA 11.6, OpenCL 3.0, DirectCompute
NVIDIA NVLink	No