A100 SXM4 40GB vs TITAN Xp

AmperevsPascalUpdated 35 days ago

The A100 SXM4 40GB emerges as the clear winner for most modern use cases: its 312 TFLOPS FP16, 40 GB VRAM, and 2039 GB/s bandwidth deliver over 25 times the half-precision performance of TITAN Xp's 12.1 TFLOPS, enabling efficient large-model training and inference unavailable on the 2017 Pascal GPU.

A100 SXM4 40GB from $0.73/hr

Specifications Compared

SpecA100TITAN-XP
TDP400W250W
VRAM40-80 GB12 GB
CUDA Cores6,9123,840
Memory TypeHBM2eGDDR5X
ArchitectureAmperePascal
Form FactorsSXM4, PCIePCIe
InterconnectNVLink, PCIe 4.0, InfiniBand
Tensor Cores432
FP16 Performance312 TFLOPS12.1 TFLOPS
FP32 Performance19.5 TFLOPS12.1 TFLOPS
FP64 Performance9.7 TFLOPS
INT8 Performance624 TOPS
Memory Bandwidth2,039 GB/s548 GB/s

Performance Analysis

A100's FP16 performance of 312 TFLOPS vastly outpaces TITAN Xp's 12.1 TFLOPS: this enables dramatically faster training of deep learning models using half-precision arithmetic, which reduces memory usage and accelerates convergence in large-scale neural networks. In FP32, A100 delivers 19.5 TFLOPS compared to TITAN Xp's 12.1 TFLOPS, providing superior throughput for inference tasks and scientific simulations requiring single-precision compute.

Memory bandwidth represents another critical divide: A100's 2039 GB/s allows for much larger batch sizes in training runs, minimizing overhead from data transfers and enabling efficient handling of datasets that would bottleneck on TITAN Xp's 548 GB/s. The 40 GB HBM2e VRAM on A100 supports massive models without gradient checkpointing, whereas TITAN Xp's 12 GB GDDR5X limits it to smaller workloads, often necessitating model parallelism.

Power and interconnect differences further the gap: A100's 400W TDP and NVLink sustain multi-GPU scaling, ideal for distributed training, while TITAN Xp's 250W PCIe setup suits single-node consumer tasks but falters in enterprise environments.

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
Vast.ai
Vast.ai
2×NVIDIA A100 SXM4 80GB
80GB VRAM
$0.73/GPU/hr
$1.47/hr total (2×)
Available
LeaderGPU
LeaderGPU
8×NVIDIA A100 PCIe 80GB
80GB VRAM
$0.90/GPU/hr
$7.20/hr total (8×)
Available
Vast.ai
Vast.ai
NVIDIA A100 SXM4 80GB
80GB VRAM
$1.07/GPU/hr
Available
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

Choose the A100 SXM4 40GB for demanding AI workloads: its 312 TFLOPS FP16 and 40 GB VRAM excel in training large language models or fine-tuning transformers, where TITAN Xp's 12.1 TFLOPS and 12 GB limit scalability. Cloud availability from $1.00 per hour facilitates rapid prototyping and production deployment with NVLink interconnects for multi-GPU clusters.

Scientific computing and high-throughput inference also favor A100: 2039 GB/s bandwidth handles large batch sizes efficiently, reducing latency in real-time applications.

When to Choose the TITAN Xp

The TITAN Xp suits budget-constrained, local setups: its 250W TDP and PCIe form factor integrate easily into consumer workstations for small-scale tasks, avoiding A100's 400W demands and cloud costs starting at $1.00 per hour. Legacy Pascal codebases or light gaming benefit from its 12.1 TFLOPS FP32 without needing HBM2e.

Users with existing TITAN Xp hardware choose it for quick prototyping of modest models under 12 GB VRAM, where bandwidth of 548 GB/s suffices and no cloud migration is planned.

Use Cases

LLM Training
A100 SXM4 40GB

A100's 312 TFLOPS FP16 and 40 GB VRAM handle massive parameter counts essential for LLM training, far beyond TITAN Xp's 12.1 TFLOPS and 12 GB limits.

LLM Inference
A100 SXM4 40GB

A100's 2039 GB/s bandwidth supports high-throughput inference with large batches; TITAN Xp's 548 GB/s causes bottlenecks for models exceeding 12 GB.

Fine-tuning
A100 SXM4 40GB

Fine-tuning benefits from A100's 19.5 TFLOPS FP32 and HBM2e memory, allowing full-model loading unlike TITAN Xp's GDDR5X constraints.

Stable Diffusion
A100 SXM4 40GB

A100 accelerates diffusion model generation via 312 TFLOPS FP16; TITAN Xp struggles with VRAM limits during high-resolution image synthesis.

Scientific Computing
A100 SXM4 40GB

A100's NVLink and PCIe 4.0 enable scalable simulations with 19.5 TFLOPS FP32; TITAN Xp lacks interconnects for distributed scientific workloads.

Frequently Asked Questions

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

A100 SXM4 40GB provides 40 GB HBM2e VRAM, while TITAN Xp offers 12 GB GDDR5X. This allows A100 to load much larger models without partitioning.

How does FP16 performance compare?

A100 achieves 312 TFLOPS in FP16, over 25 times higher than TITAN Xp's 12.1 TFLOPS. This accelerates AI training significantly.

Is TITAN Xp available on cloud platforms?

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

Which has higher memory bandwidth?

A100's 2039 GB/s dwarfs TITAN Xp's 548 GB/s. Higher bandwidth supports larger batch sizes in deep learning.

What are the power requirements?

A100 requires 400W TDP in SXM4 or PCIe forms; TITAN Xp uses 250W in PCIe only. A100 suits data centers, TITAN Xp consumer builds.

When was each GPU released?

A100 launched in 2020 on Ampere architecture; TITAN Xp in 2017 on Pascal. The three-year gap explains spec disparities.

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

Cloud rental prices for both the A100 and TITAN Xp 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 Xp?

The A100 has 40 to 80 GB of HBM2e memory. The TITAN Xp has 12 GB of GDDR5X memory.

Can I find A100 and TITAN Xp 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 Xp?

The A100 uses the Ampere architecture (2020) while the TITAN Xp uses Pascal (2017). The A100 delivers 25.8x the FP16 throughput and 3.7x the memory bandwidth of the TITAN Xp.

A100 SXM4 40GB vs TITAN Xp: 25.8x FP16 Gap, 80GB vs 12GB | GPUPerHour