GPU comparison

RTX A6000 vs V100

Specifications and current cloud pricing, side by side.

AmperevsVoltaUpdated 16 days ago

The RTX A6000 wins for the most common use case of large model training because its 48 GB memory capacity and 38.7 TFLOPS FP32 rating exceed the V100 specifications by clear margins while both GPUs share identical 300W TDP.

RTX A6000 from $0.44/GPU/hrV100 from $0.83/GPU/hr

Right now, from live stock

  • Cheapest right now: RTX A6000 at $0.44/hr on LeaderGPU

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  • Most providers in stock: RTX A6000 (6)

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  • Best $ per TFLOPS FP16 dense right now: RTX A6000 ($0.0029 per TFLOPS-hour at 154.8 TFLOPS)

    Deploy

Specifications Compared

SpecRTX A6000V100
TDP300W300W
VRAM48 GB16-32 GB
CUDA Cores10,7525,120
Memory TypeGDDR6HBM2
ArchitectureAmpereVolta
FP16 (dense)154.8 TFLOPS125 TFLOPS
Form FactorsPCIeSXM2, PCIe
INT8 (dense)309.7 TOPSNot published
InterconnectNVLink, PCIe 4.0NVLink, PCIe 3.0
Tensor Cores336640
FP32 Performance38.7 TFLOPS15.7 TFLOPS
FP64 PerformanceNot published7.8 TFLOPS
Memory Bandwidth768 GB/s900 GB/s
FP16 (with sparsity)309.6 TFLOPSNot published
INT8 (with sparsity)619.4 TOPSNot published

Performance Analysis

The RTX A6000 delivers 154.8 TFLOPS dense FP16 while the V100 delivers 125 TFLOPS dense FP16. This ratio indicates the RTX A6000 processes dense FP16 operations 1.24 times faster than the V100 for training and inference steps that rely on dense FP16 arithmetic. The RTX A6000 also supplies 38.7 TFLOPS FP32 compared with the V100 at 15.7 TFLOPS FP32 so FP32 heavy workloads complete in fewer cycles on the RTX A6000. Memory bandwidth influences batch size selection because the V100 at 900 GB/s exceeds the RTX A6000 at 768 GB/s yet the RTX A6000 memory capacity of 48 GB exceeds the V100 maximum of 32 GB. The RTX A6000 further provides 309.6 TFLOPS FP16 with sparsity against the V100 figure that remains limited to dense FP16 only.

Current On-Demand Offers

Cheapest secure on-demand offer per provider that is reported in stock right now, per GPU per hour; multi-GPU instances show the whole-instance price alongside. Deploy opens the DeployGPU console for providers on the platform, otherwise the provider's own site. Stock is rechecked every minute.

RTX A6000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
LeaderGPUThe Netherlands8$0.44$3.54Deploy
QuantaCloudus-midwest-12$0.48$0.96Deploy
HyperstackCANADA-12$0.50$1.00Deploy
RunPodglobal1$0.53—Deploy
Massed Computeus-central-24$0.55$2.20Deploy

6 providers in stock, 53 offers (cheapest per provider shown). All RTX A6000 offers, price history and alerts

V100

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Orilille-12$0.83$1.66Deploy
Paperspaceny21$2.30—Deploy

2 providers in stock, 70 offers (cheapest per provider shown). All V100 offers, price history and alerts

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When to Choose the RTX A6000

The RTX A6000 suits workloads that require 48 GB GDDR6 memory capacity for larger model states. Its 38.7 TFLOPS FP32 rating exceeds the V100 by a factor of 2.46 so FP32 dominant scientific kernels finish faster. PCIe 4.0 interconnect support further aligns the RTX A6000 with newer host platforms.

When to Choose the V100

Its SXM2 form factor option provides direct integration paths unavailable on the RTX A6000 PCIe only configuration.

Use Cases

LLM Training
RTX A6000

The RTX A6000 supplies 48 GB GDDR6 memory against the V100 maximum of 32 GB HBM2.

LLM Inference
RTX A6000

The RTX A6000 reaches 154.8 TFLOPS dense FP16 while the V100 reaches 125 TFLOPS dense FP16.

Fine-tuning
RTX A6000

The RTX A6000 provides 48 GB memory capacity and 309.7 TOPS INT8 dense for parameter updates.

Stable Diffusion
RTX A6000

The RTX A6000 memory capacity of 48 GB exceeds the V100 maximum of 32 GB for image generation buffers.

Scientific Computing
RTX A6000

The RTX A6000 delivers 38.7 TFLOPS FP32 compared with the V100 at 15.7 TFLOPS FP32.

Frequently Asked Questions

How much more FP32 performance does the RTX A6000 provide than the V100?▾

The RTX A6000 reaches 38.7 TFLOPS FP32 while the V100 reaches 15.7 TFLOPS FP32. This difference equals a factor of 2.46 in favor of the RTX A6000.

Which GPU offers higher dense FP16 throughput?▾

The RTX A6000 offers 154.8 TFLOPS dense FP16. The V100 offers 125 TFLOPS dense FP16.

Do both GPUs support the same interconnect technologies?▾

Both GPUs include NVLink support. The RTX A6000 adds PCIe 4.0 while the V100 uses PCIe 3.0.

How does memory bandwidth compare between these two GPUs?▾

The V100 provides 900 GB/s memory bandwidth. The RTX A6000 provides 768 GB/s memory bandwidth.

What are the TDP ratings for the RTX A6000 and V100?▾

Both the RTX A6000 and V100 list a TDP of 300W.

Which is cheaper to rent, the RTX A6000 or the V100?▾

Cloud rental prices for both the RTX A6000 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 A6000 have compared to the V100?▾

The RTX A6000 has 48 GB of GDDR6 memory. The V100 has 16 to 32 GB of HBM2 memory.

Can I find RTX A6000 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 A6000 and the V100?▾

The RTX A6000 uses the Ampere architecture (2020) while the V100 uses Volta (2017). The RTX A6000 delivers 1.2x the dense FP16 throughput (154.8 vs 125 TFLOPS, both without sparsity) while the V100 has 1.2x the memory bandwidth of the RTX A6000.

Rent these GPUs

Each GPU page lists every current on-demand offer by provider, per GPU-hour, updated every minute.

Related comparisons

How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the RTX A6000 and the V100. Dense and sparse throughput are listed separately.
  • Prices and availability are live: every offer shown is an in-stock, on-demand listing from a provider we track, rechecked every minute.
  • The written comparison (overview, performance notes, when to choose each card, verdict, use cases and FAQ) was drafted with an AI model from the specification table above and passed an automated check that rejects any figure not in that table. It was last generated on . It contains no prices; those are always read live.
  • Read how we collect the data, or report an error on this page.

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