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Updated minutes ago
nvidia

RTX A5000

nvidia · ampere · 24 GB GDDR6 · 230W TDP

VRAM

24 GB

BF16 TFLOPS

27.8

Bandwidth

768 GB/s

From

$0.25/hr

Calculate ROI with this GPU →

Spec Sheet

VRAM24 GB GDDR6
Memory Bandwidth768 GB/s
BF16 TFLOPS27.8
FP16 TFLOPS27.8
FP8 TFLOPS27.8
INT8 TOPS55.6
TDP230W
InterconnectPCIE
Max per Node8
PCIe Gen4
CUDA Compute Capability8.6
Tensor CoresYes

Pricing by Provider

ProviderOn-DemandReservedSpotBadge
vast_ai$0.39/hr-$0.25/hrCheapest
tensordock$0.35/hr-$0.25/hr
runpod$0.59/hr-$0.39/hr

Compatible Models (255)

Training Capabilities

Estimated GPU count for full fine-tuning (AdamW, BF16) and QLoRA

Model SizeFull Fine-TuneQLoRA
7B model6 GPUs1 GPU
13B model11 GPUs1 GPU
70B model55 GPUs2 GPUs

Energy Efficiency

Estimated tokens/second per Watt for popular models

Mistral 7B
0.46 t/s/WFP8
Qwen 2.5 7B
0.44 t/s/WFP8
Llama 3.1 8B
0.42 t/s/WFP8
Llama 3.1 70B
0.05 t/s/WFP8
Qwen 2.5 72B
0.05 t/s/WFP8

Similar GPUs

GPUVRAMBF16 TFLOPSBW (GB/s)From
A10G24 GB35600$0.30/hr
A3024 GB165933$0.35/hr
RTX 309024 GB35.6936$0.19/hr
A400016 GB76448$0.17/hr
A216 GB18200$0.15/hr

Methodology Note

Performance estimates for the RTX A5000are based on InferenceBench's roofline performance model with CUDA kernel-level optimization including FlashAttention v2 and PagedAttention. Memory calculations account for model weights (24 GB GDDR6 available), KV-cache allocation, and activation memory. Throughput predictions use the RTX A5000's rated 768 GB/s memory bandwidth and 27.8 BF16 TFLOPS compute capacity as roofline ceilings, with empirical correction factors per GPU architecture (ampere). See our full methodology.

Frequently Asked Questions

How many AI models can run on RTX A5000?

The RTX A5000 can run 255 AI models from our database within a single node. Compatible models range across various parameter sizes depending on the quantization precision (BF16, FP8, INT4). Smaller models fit on a single GPU while larger models may require multi-GPU setups up to 8x RTX A5000.

What is the RTX A5000 inference throughput?

The RTX A5000 delivers 27.8 BF16 TFLOPS and 27.8 FP8 TFLOPS with 768 GB/s memory bandwidth. Actual inference throughput (tokens/sec) depends on the model size, precision, and batch size. Use our calculator for model-specific throughput estimates.

How much does RTX A5000 cost per hour?

The RTX A5000 is available starting from $0.25/hour via vast_ai. Prices vary by provider and pricing tier (on-demand, reserved, spot). Compare pricing across all providers in the table above.