A100 SXM4 40GB vs TITAN V

AmperevsVoltaUpdated 35 days ago

The NVIDIA A100 SXM4 40GB emerges as the clear winner for most modern use cases, particularly machine learning training and inference. Its 312 TFLOPS FP16, 40 GB VRAM, and 2039 GB/s bandwidth deliver over 20 times the half-precision throughput of the TITAN V, enabling larger models and faster iterations unavailable on the older 12 GB, 13.8 TFLOPS card.

A100 SXM4 40GB from $0.73/hr

Specifications Compared

SpecA100TITAN-V
TDP400W250W
VRAM40-80 GB12 GB
CUDA Cores6,9125,120
Memory TypeHBM2eHBM2
ArchitectureAmpereVolta
Form FactorsSXM4, PCIePCIe
InterconnectNVLink, PCIe 4.0, InfiniBand
Tensor Cores432640
FP16 Performance312 TFLOPS13.8 TFLOPS
FP32 Performance19.5 TFLOPS13.8 TFLOPS
FP64 Performance9.7 TFLOPS6.9 TFLOPS
INT8 Performance624 TOPS
Memory Bandwidth2,039 GB/s653 GB/s

Performance Analysis

The A100's FP16 performance of 312 TFLOPS vastly outpaces the TITAN V's 13.8 TFLOPS, a 22-fold increase that accelerates deep learning training where half-precision computations dominate. This delta means training large neural networks completes far quicker on the A100, often reducing epochs from days to hours. In contrast, FP32 performance favors the A100 at 19.5 TFLOPS over 13.8 TFLOPS, benefiting traditional simulations requiring single-precision accuracy.

Memory specifications define real-world usability: the A100's 40 GB HBM2e VRAM supports batch sizes up to three times larger than the TITAN V's 12 GB limit, minimizing out-of-memory errors in model inference. Bandwidth at 2039 GB/s versus 653 GB/s ensures the A100 sustains higher throughput, cutting latency in data-heavy inference pipelines by enabling quicker weight loading and activations.

Higher TDP on the A100 at 400W versus 250W correlates with its superior scaling in multi-GPU setups via NVLink, while the TITAN V suits single-node legacy tasks but bottlenecks modern distributed training.

Live Cloud Pricing

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

A100 SXM4 40GB

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
Vast.ai
Vast.ai
NVIDIA A100 SXM4 80GB
80GB VRAM
$0.73/GPU/hr
Available
LeaderGPU
LeaderGPU
8×NVIDIA A100 PCIe 80GB
80GB VRAM
$0.90/GPU/hr
$7.20/hr total (8×)
Available
Vast.ai
Vast.ai
2×NVIDIA A100 SXM4 80GB
80GB VRAM
$1.00/GPU/hr
$2.00/hr total (2×)
Available
Denvr
Denvr
4×NVIDIA A100 PCIe 80GB
80GB VRAM
$1.15/GPU/hr
$4.60/hr total (4×)
Denvr
Denvr
8×NVIDIA A100 SXM4 80GB
80GB VRAM
$1.15/GPU/hr
$9.20/hr total (8×)

Compare real-time pricing across 25+ providers

When to Choose the A100 SXM4 40GB

Opt for the A100 SXM4 40GB in demanding machine learning workflows requiring over 12 GB VRAM, such as training transformer models with billions of parameters. Its 312 TFLOPS FP16 performance and 2039 GB/s bandwidth excel in cloud environments, available from $1.00 per hour. Datacenter interconnects like NVLink make it ideal for multi-GPU clusters handling large-scale inference.

Scientific computing with high memory needs also favors the A100, where 40 GB capacity prevents data spills during complex simulations.

When to Choose the TITAN V

The TITAN V suits budget-conscious users with existing PCIe hardware for lighter workloads fitting within 12 GB HBM2. Its 250W TDP enables efficient single-GPU desktop setups without advanced cooling. Legacy Volta-optimized software benefits from its 13.8 TFLOPS across FP16 and FP32, avoiding cloud costs since no live offers exist.

Small-scale prototyping or educational tasks where 653 GB/s bandwidth suffices make it a viable local alternative.

Use Cases

LLM Training
A100 SXM4 40GB

The A100's 40 GB VRAM and 312 TFLOPS FP16 handle massive language models without memory constraints, unlike the TITAN V's 12 GB limit. Bandwidth of 2039 GB/s supports large batch sizes essential for efficient training.

LLM Inference
A100 SXM4 40GB

Inference benefits from the A100's 19.5 TFLOPS FP32 and high bandwidth for low-latency serving of large models. The TITAN V's 13.8 TFLOPS and 12 GB VRAM restrict deployment scale.

Fine-tuning
A100 SXM4 40GB

Fine-tuning large models requires the A100's 40 GB capacity to avoid gradient checkpointing overheads. Its FP16 performance accelerates iterations over the TITAN V's capabilities.

Stable Diffusion
A100 SXM4 40GB

Stable Diffusion pipelines leverage the A100's 2039 GB/s bandwidth for rapid image generation at high resolutions. The TITAN V's 653 GB/s causes bottlenecks in diffusion steps.

Scientific Computing
Either

Small simulations fit the TITAN V's 12 GB and 13.8 TFLOPS FP32, suiting local runs. Larger datasets demand the A100's 40 GB and 19.5 TFLOPS.

Frequently Asked Questions

What is the VRAM difference between A100 SXM4 40GB and TITAN V?

The A100 provides 40 GB HBM2e VRAM, while the TITAN V offers 12 GB HBM2. This allows the A100 to manage models three times larger without system memory reliance.

How does FP16 performance compare?

A100 achieves 312 TFLOPS in FP16, compared to TITAN V's 13.8 TFLOPS. This results in approximately 22 times faster half-precision computations for AI training.

What are the power requirements?

The A100 has a 400W TDP, higher than the TITAN V's 250W. Datacenter cooling handles the A100, while TITAN V fits standard desktops.

Is TITAN V available on cloud platforms?

No live cloud offers exist for TITAN V. A100 SXM4 40GB starts at $1.00 per hour across five providers, averaging $2.63 per hour.

Which has higher memory bandwidth?

A100 delivers 2039 GB/s, over three times the TITAN V's 653 GB/s. This boosts data transfer speeds for memory-bound workloads.

What architectures do they use?

A100 uses Ampere from 2020 with NVLink support. TITAN V employs Volta from 2017 in PCIe form only.

Which is cheaper to rent, the A100 or the TITAN V?

Cloud rental prices for both the A100 and TITAN V 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 A100 have compared to the TITAN V?

The A100 has 40 to 80 GB of HBM2e memory. The TITAN V has 12 GB of HBM2 memory.

Can I find A100 and TITAN V 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 A100 and the TITAN V?

The A100 uses the Ampere architecture (2020) while the TITAN V uses Volta (2017). The A100 delivers 22.6x the FP16 throughput and 3.1x the memory bandwidth of the TITAN V.

A100 SXM4 40GB vs TITAN V: 22.6x FP16 Gap, 80GB vs 12GB | GPUPerHour