RTX A6000 vs Tesla V100 32GB

AmperevsVoltaUpdated 35 days ago

The RTX A6000 emerges as the winner for most common AI use cases today, thanks to 48 GB VRAM enabling larger models and balanced 38.7 TFLOPS across FP16 and FP32. Newer Ampere architecture and cheaper $0.17 per hour starting price outperform the aging V100's FP16 edge in practical, memory-bound workloads.

RTX A6000 from $0.40/hrTesla V100 32GB from $0.19/hr

Specifications Compared

SpecRTX-A6000V100
TDP300W300W
VRAM48 GB16-32 GB
CUDA Cores10,7525,120
Memory TypeGDDR6HBM2
ArchitectureAmpereVolta
Form FactorsPCIeSXM2, PCIe
InterconnectNVLinkNVLink, PCIe 3.0
Tensor Cores336640
FP16 Performance38.7 TFLOPS125 TFLOPS
FP32 Performance38.7 TFLOPS15.7 TFLOPS
FP64 Performance0.6 TFLOPS7.8 TFLOPS
Memory Bandwidth768 GB/s900 GB/s

Performance Analysis

The V100 excels in FP16 performance at 125 TFLOPS, far surpassing the A6000's 38.7 TFLOPS, which benefits mixed-precision training where speedups occur without accuracy loss. However, the A6000 matches its FP16 with 38.7 TFLOPS FP32, doubling the V100's 15.7 TFLOPS FP32 and suiting FP32-dominant inference or simulations. This balance means the A6000 handles diverse workloads more evenly, while the V100 risks bottlenecks in FP32-heavy tasks.

Memory differences impact batch sizes directly: the A6000's 48 GB GDDR6 supports larger batches in memory-constrained models like LLMs, compared to the V100's 32 GB HBM2. Despite the V100's 900 GB/s bandwidth edging out 768 GB/s, GDDR6 on A6000 sustains high throughput for modern applications. Both at 300W TDP, real-world efficiency favors A6000 for VRAM-intensive scenarios, enabling bigger models without multi-GPU reliance.

Live Cloud Pricing

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

RTX A6000

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
TensorDock
TensorDock
NVIDIA RTX A6000
48GB VRAM
$0.40/GPU/hr
Available
RunPod
RunPod
NVIDIA RTX A6000
48GB VRAM
$0.49/GPU/hr
Hyperstack
Hyperstack
NVIDIA RTX A6000
48GB VRAM
$0.50/GPU/hr
Available
Hyperstack
Hyperstack
2×NVIDIA RTX A6000
48GB VRAM
$0.50/GPU/hr
$1.00/hr total (2×)
Available
Massed Compute
Massed Compute
NVIDIA RTX A6000
48GB VRAM
$0.55/GPU/hr
Available

Tesla V100 32GB

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 A6000

The RTX A6000 suits workloads needing extensive VRAM, such as fine-tuning large language models where 48 GB GDDR6 handles bigger batch sizes than the V100's 32 GB HBM2. Its equal 38.7 TFLOPS FP16 and FP32 performance excels in balanced inference tasks, and lower starting cloud price at $0.17 per hour across 62 offers provides cost savings over V100's $0.29 per hour.

When to Choose the Tesla V100 32GB

The V100 32GB fits high-FP16 training scenarios, leveraging 125 TFLOPS to accelerate mixed-precision workflows far beyond the A6000's 38.7 TFLOPS. Its 900 GB/s HBM2 bandwidth supports data-heavy HPC tasks with rapid memory access, despite less VRAM, and NVLink with PCIe 3.0 aids legacy datacenter scaling.

Use Cases

LLM Training
RTX A6000

RTX A6000's 48 GB VRAM supports larger batch sizes for LLMs compared to V100's 32 GB. Balanced FP32 at 38.7 TFLOPS aids stable training.

LLM Inference
RTX A6000

A6000's 48 GB capacity and 38.7 TFLOPS FP32 handle high-throughput inference better than V100's FP32 limit of 15.7 TFLOPS.

Fine-tuning
RTX A6000

More VRAM on A6000 at 48 GB fits fine-tuning larger models without splitting batches, unlike V100's 32 GB.

Stable Diffusion
Either

Both GPUs manage image generation well, but A6000's VRAM edge helps higher resolutions while V100's FP16 shines in diffusion steps.

Scientific Computing
Tesla V100 32GB

V100's 125 TFLOPS FP16 and 900 GB/s bandwidth accelerate simulations faster than A6000's 38.7 TFLOPS and 768 GB/s.

Frequently Asked Questions

Which has more VRAM: RTX A6000 or V100 32GB?

The RTX A6000 provides 48 GB GDDR6 VRAM, exceeding the V100 32GB's 32 GB HBM2. This allows larger models or batches on A6000. Bandwidth favors V100 at 900 GB/s over 768 GB/s.

How do FP32 performances compare between A6000 and V100?

RTX A6000 delivers 38.7 TFLOPS FP32, more than double the V100's 15.7 TFLOPS. A6000 suits FP32 tasks like inference. V100 leads in FP16 at 125 TFLOPS versus 38.7 TFLOPS.

What are the cloud rental prices for these GPUs?

RTX A6000 starts at $0.17 per hour average $1.02 across 62 offers. V100 32GB starts at $0.29 per hour average $1.01 across 44 offers. A6000 offers better entry pricing.

Do both support NVLink?

Both RTX A6000 and V100 support NVLink for multi-GPU setups. V100 adds PCIe 3.0, while A6000 uses PCIe form factor. This enables scaling in cloud environments.

Which is newer: A6000 or V100?

RTX A6000 uses 2020 Ampere architecture, newer than V100's 2017 Volta. A6000 provides modern features like balanced compute. Both share 300W TDP.

Is V100 better for training?

V100's 125 TFLOPS FP16 accelerates mixed-precision training over A6000's 38.7 TFLOPS. However, A6000's 48 GB VRAM supports larger models. Choice depends on precision needs.

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 V100 delivers 3.2x the FP16 throughput and 1.2x the memory bandwidth of the RTX A6000.