NVIDIA

RTX A5000

RTX A5000 — illustration of the card's form factor
VRAM
24GB
FP32 TFLOPS
27.8 TFLOPS
CUDA Cores
8,192
TDP
230 W

Provider Marketplace

Cheapest
$0.16/hour
Starting from
Best Value
$1.22/hour
Starting from
Enterprise Choice
$1.56/hour
Starting from

All Cloud Providers

4 Options available
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RunPodCheapest
On-Demand
$0.16/ hour
Estimated Cost
Provision
$0.44/ hour
Estimated Cost
Provision
Paperspace logo
Reserved · commitment
$1.22/ hour
Estimated Cost
Provision
Runcrate logo
On-Demand
$1.56/ hour
Estimated Cost
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Estimates onlyrates are collected automatically from public provider pages and may be out of date. Prices vary by region, commitment term, and availability, and typically exclude storage, egress, and tax. Confirm current pricing with the provider before purchasing. Last collected .

Compute Performance

FP3227.8 TFLOPS

Architecture

MicroarchitectureAmpere
CUDA Cores8192
Tensor CoresThird-Generation, 256 Tensor Cores
RT CoresSecond-Generation, 64 RT Cores
Sparse AccelerationSupported (structural sparsity)

Memory & VRAM

Memory TypeGDDR6
Total Capacity24GB
Bandwidth768 GB/s
Bus Width384-bit
ECC SupportYes (ECC)
Memory PoolingNVLink (scale memory across GPUs)

Connectivity & Scaling

InterconnectNVLink
GenerationThird-Generation NVIDIA NVLink
IB Bandwidth112.5 GB/s (bidirectional)
PCIe InterfacePCIe 4.0 xx16
Topology2-way low profile NVLink (2-slot and 3-slot bridges)
Max GPUs/Node2
P2P MemoryYes (via NVIDIA NVLink)

Virtualization

vGPU ReadinessSupported (NVIDIA Virtual PC (vPC) and Virtual Applications (vApps), NVIDIA RTX vWS, NVIDIA Virtual Compute Server)
GPU SharingNVIDIA virtual GPU (vGPU) software support

Power & Efficiency

TDP230 W
Peak Power230
Connectors1x 8-pin PCIe
Thermal LimitsActive

Physical Design

Form FactorPCIe
FHFLYes
Slot WidthDual-slot
Dimensions4.4” H x 10.5” L
CoolingActive

Software Ecosystem

CUDACUDA 11.6

System Compatibility

Required PCIePCIe 4.0
MotherboardPCI Express Gen 4 x16 slot
Rack Power230 W (total board power)
OS CompatWindows 10, Windows 11, Linux

Benchmarks & Throughput

Structured Sparsity

Hardware support for structural sparsity; claimed performance improvement versus previous generation

Training Benchmarks

Up to 10X faster training performance compared to the previous generation (per NVIDIA)

Scaling Efficiency

NVLink: connect two RTX A5000 GPUs to scale memory and performance; NVLink bandwidth 112.5 GB/s (bidirectional)

Multi-GPU Scalability

Scaling Efficiency

Single GPU27.8 TFLOPS

Scaling Characteristics

ParallelismSupports NVLink for multi-GPU memory/performance scaling and is virtualization-ready (NVIDIA RTX vWS / vGPU software).

Workload Readiness

Market Authority

Key Strengths

Limitations

Expert Insight

The RTX A5000 represents a strategic leap in AI compute. When comparing cloud providers, consider not just the hourly rate, but also the interconnect bandwidth (InfiniBand/NVLink) and regional availability which can significantly impact total cost of ownership for large-scale training.

Glossary Terms

FP32 TFLOPS
VRAM
TDP
Cores
Information updated daily. Cloud pricing subject to vendor availability.