RTX A5000 vs V100

AmperevsVoltaUpdated 36 days ago

RTX A5000 emerges as the winner for most common cloud ML use cases like inference and fine-tuning. Its balanced 27.8 TFLOPS FP16 and FP32, combined with pricing from $0.03 per hour versus V100's $0.10, deliver superior cost-performance despite V100's FP16 edge.

RTX A5000 from $0.23/hrV100 from $0.19/hr

Specifications Compared

SpecRTX-A5000V100
TDP230W300W
VRAM24 GB16-32 GB
CUDA Cores8,1925,120
Memory TypeGDDR6HBM2
ArchitectureAmpereVolta
Form FactorsPCIeSXM2, PCIe
InterconnectNVLinkNVLink, PCIe 3.0
Tensor Cores256640
FP16 Performance27.8 TFLOPS125 TFLOPS
FP32 Performance27.8 TFLOPS15.7 TFLOPS
Memory Bandwidth768 GB/s900 GB/s

Performance Analysis

FP16 performance defines training suitability: V100 achieves 125 TFLOPS, enabling faster mixed-precision training for large models compared to RTX A5000's 27.8 TFLOPS. Inference often relies on FP32, where RTX A5000 matches its FP16 at 27.8 TFLOPS against V100's 15.7 TFLOPS, providing balanced throughput for deployment scenarios.

Memory bandwidth impacts batch sizes: V100's 900 GB/s HBM2 supports larger batches in memory-bound tasks like transformer training, exceeding RTX A5000's 768 GB/s GDDR6. VRAM capacity aids model loading, with V100 offering up to 32 GB versus RTX A5000's fixed 24 GB, though GDDR6's accessibility suits varied cloud instances.

Power efficiency favors RTX A5000 at 230W TDP over V100's 300W, allowing denser cloud packing and lower cooling demands. Ampere's 2021 architecture incorporates tensor cores optimized for modern sparsity, potentially offsetting V100's Volta-era FP16 peak in contemporary frameworks.

Live Cloud Pricing

Real-time prices from 25+ providers. Updated every 60 seconds.

RTX A5000

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
Vast.ai
Vast.ai
4×NVIDIA RTX A5000
24GB VRAM
$0.23/GPU/hr
$0.92/hr total (4×)
Available
Vast.ai
Vast.ai
NVIDIA RTX A5000
24GB VRAM
$0.24/GPU/hr
Available
RunPod
RunPod
NVIDIA RTX A5000
24GB VRAM
$0.27/GPU/hr
Cirrascale
Cirrascale
8×NVIDIA RTX A5000
24GB VRAM
$0.41/GPU/hr
$3.28/hr total (8×)
Cirrascale
Cirrascale
8×NVIDIA RTX A5000
24GB VRAM
$0.46/GPU/hr
$3.68/hr total (8×)

V100

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
TensorDock
TensorDock
NVIDIA Tesla V100 16GB
16GB VRAM
$0.19/GPU/hr
Available
TensorDock
TensorDock
NVIDIA Tesla V100 16GB
16GB VRAM
$0.19/GPU/hr
Available
TensorDock
TensorDock
NVIDIA Tesla V100 32GB
32GB VRAM
$0.29/GPU/hr
Available
TensorDock
TensorDock
NVIDIA Tesla V100 32GB
32GB VRAM
$0.29/GPU/hr
Available
Lambda Labs
Lambda Labs
8×NVIDIA Tesla V100 16GB
16GB VRAM
$0.79/GPU/hr
$6.32/hr total (8×)
Available

Compare real-time pricing across 25+ providers

When to Choose the RTX A5000

RTX A5000 suits cost-sensitive inference and fine-tuning where balanced FP32 performance at 27.8 TFLOPS excels over V100's 15.7 TFLOPS. Its lower pricing from $0.03 per hour and 230W TDP enable scalable deployments without excessive power costs.

Newer Ampere architecture benefits Stable Diffusion and graphics workloads, leveraging 24 GB GDDR6 for efficient rendering at 768 GB/s bandwidth.

When to Choose the V100

V100 dominates large-scale LLM training due to 125 TFLOPS FP16, accelerating mixed-precision forward passes beyond RTX A5000's 27.8 TFLOPS. Higher 900 GB/s bandwidth supports massive batch sizes in memory-intensive simulations.

Datacenter users with SXM2 form factors prefer V100's up to 32 GB HBM2 for scientific computing requiring peak half-precision throughput.

Use Cases

LLM Training
V100

V100's 125 TFLOPS FP16 significantly outperforms RTX A5000's 27.8 TFLOPS for mixed-precision training of large models. Higher 900 GB/s bandwidth handles extensive datasets efficiently.

LLM Inference
RTX A5000

RTX A5000's equal 27.8 TFLOPS FP16 and FP32 suits inference demands better than V100's imbalanced 15.7 TFLOPS FP32. Lower $0.03 per hour pricing supports high-volume serving.

Fine-tuning
RTX A5000

Balanced performance at 27.8 TFLOPS across precisions on RTX A5000 accelerates fine-tuning over V100's FP32 limitation. 24 GB VRAM accommodates most adapters cost-effectively.

Stable Diffusion
RTX A5000

Ampere architecture in RTX A5000 optimizes diffusion models with 27.8 TFLOPS tensor performance and 768 GB/s bandwidth. Cheaper cloud rates at average $0.45 per hour enhance accessibility.

Scientific Computing
V100

V100's 125 TFLOPS FP16 and up to 32 GB HBM2 excel in HPC simulations requiring high half-precision flops. 900 GB/s bandwidth sustains large-scale computations.

Frequently Asked Questions

Which GPU has higher FP16 performance?

V100 delivers 125 TFLOPS FP16, far exceeding RTX A5000's 27.8 TFLOPS. This makes V100 preferable for FP16-heavy training tasks. RTX A5000 balances with matching FP32 at 27.8 TFLOPS.

What are the VRAM differences?

RTX A5000 provides 24 GB GDDR6 VRAM, while V100 offers 16-32 GB HBM2. V100's higher ceiling suits massive models, but RTX A5000's fixed capacity fits most workloads. Bandwidth stands at 768 GB/s for A5000 versus 900 GB/s for V100.

How do cloud prices compare?

RTX A5000 starts at $0.03 per hour averaging $0.45 across 31 offers. V100 begins at $0.10 per hour averaging $0.94 across 72 offers. A5000 offers better value for budget-conscious users.

Which has lower power consumption?

RTX A5000 consumes 230W TDP, lower than V100's 300W. This efficiency aids dense cloud deployments. Both use NVLink for multi-GPU scaling.

Is RTX A5000 newer than V100?

RTX A5000 uses 2021 Ampere architecture, succeeding V100's 2017 Volta. Ampere includes modern tensor core improvements. V100 remains strong in raw FP16 at 125 TFLOPS.

What form factors are available?

RTX A5000 supports PCIe form factor with NVLink. V100 offers SXM2, PCIe, NVLink, and PCIe 3.0. V100 provides more datacenter flexibility.

Which is cheaper to rent, the RTX A5000 or the V100?

Cloud rental prices for both the RTX A5000 and V100 vary by provider, configuration, and availability. This page shows live pricing from 25+ providers updated every 60 seconds. Scroll to the Live Cloud Pricing section to compare current rates.

How much VRAM does the RTX A5000 have compared to the V100?

The RTX A5000 has 24 GB of GDDR6 memory. The V100 has 16 to 32 GB of HBM2 memory.

Can I find RTX A5000 and V100 GPUs available to rent right now?

Yes. This page shows real-time availability across 25+ cloud GPU providers. The Live Cloud Pricing section displays only in-stock offers with current pricing.

What is the main difference between the RTX A5000 and the V100?

The RTX A5000 uses the Ampere architecture (2021) while the V100 uses Volta (2017). The V100 delivers 4.5x the FP16 throughput and 1.2x the memory bandwidth of the RTX A5000.

RTX A5000 vs V100: 4.5x FP16 Gap, 32GB vs 24GB | GPUPerHour