Specifications Compared
| Spec | A100 | TITAN-V |
|---|---|---|
| TDP | 400W | 250W |
| VRAM | 40-80 GB | 12 GB |
| CUDA Cores | 6,912 | 5,120 |
| Memory Type | HBM2e | HBM2 |
| Architecture | Ampere | Volta |
| Form Factors | SXM4, PCIe | PCIe |
| Interconnect | NVLink, PCIe 4.0, InfiniBand | |
| Tensor Cores | 432 | 640 |
| FP16 Performance | 312 TFLOPS | 13.8 TFLOPS |
| FP32 Performance | 19.5 TFLOPS | 13.8 TFLOPS |
| FP64 Performance | 9.7 TFLOPS | 6.9 TFLOPS |
| INT8 Performance | 624 TOPS | |
| Memory Bandwidth | 2,039 GB/s | 653 GB/s |
Performance Analysis
Peak FP16 performance reveals a stark contrast: the A100 SXM4 80GB reaches 312 TFLOPS, over 22 times the TITAN V's 13.8 TFLOPS. This delta accelerates deep learning training and inference, where half-precision computations dominate, enabling faster iterations on large models. FP32 rates show A100 at 19.5 TFLOPS versus TITAN V's 13.8 TFLOPS, a 41 percent advantage for general-purpose floating-point tasks. Memory bandwidth profoundly impacts real-world use: A100's 2039 GB/s supports massive batch sizes in training, reducing overhead compared to TITAN V's 653 GB/s limitation. The A100's 80 GB HBM2e VRAM handles models exceeding 12 GB, preventing out-of-memory errors common on TITAN V. Power draw differs too: A100 consumes 400W TDP against TITAN V's 250W, trading efficiency for throughput in datacenter environments. Interconnects favor A100 with NVLink, PCIe 4.0, and InfiniBand for multi-GPU scaling, absent on TITAN V.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A100 SXM4 80GB
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 256 vCPU 63GB RAM 2826GB Storage | Slovenia | $0.73/GPU/hr | Available | ||
Vast.ai | 2×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 256 vCPU 126GB RAM 794GB Storage | Slovenia | $0.73/GPU/hr $1.47/hr total (2×) | Available | ||
 LeaderGPU | 8×NVIDIA A100 PCIe 80GB 80GB VRAM | 80GB | 64 vCPU 384GB RAM 2000GB Storage | Netherlands | $0.90/GPU/hr $7.20/hr total (8×) | Available | ||
Vast.ai | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 64 vCPU 63GB RAM 557GB Storage | Czechia | $1.00/GPU/hr | Available | ||
 Denvr | 4×NVIDIA A100 PCIe 80GB 80GB VRAM | 80GB | 64 vCPU 512GB RAM 7600GB Storage | Virginia | $1.15/GPU/hr $4.60/hr total (4×) |
When to Choose the A100 SXM4 80GB
The A100 SXM4 80GB excels in large-scale AI training and inference requiring over 12 GB VRAM, such as LLMs with billions of parameters. Its 312 TFLOPS FP16 performance and 2039 GB/s bandwidth enable efficient handling of batch sizes that overwhelm TITAN V. Cloud availability from $0.45 per hour across 27 offers suits scalable deployments with NVLink interconnects.
When to Choose the TITAN V
The TITAN V fits low-budget, on-premises setups with PCIe form factor and 250W TDP for power-constrained environments. It suffices for small-scale tasks under 12 GB VRAM where 13.8 TFLOPS FP16 meets needs without cloud dependency. Legacy Volta-optimized code runs natively, avoiding A100's 400W demands.
Use Cases
A100's 80 GB VRAM and 312 TFLOPS FP16 handle massive models and large batches, far beyond TITAN V's 12 GB and 13.8 TFLOPS limits.
High FP16 throughput of 312 TFLOPS on A100 supports low-latency serving of large LLMs, unlike TITAN V's constrained 13.8 TFLOPS and memory.
A100's 2039 GB/s bandwidth and 80 GB capacity accelerate fine-tuning on datasets exceeding TITAN V's 653 GB/s and 12 GB thresholds.
A100 processes high-resolution generations faster with 312 TFLOPS FP16, while TITAN V struggles with memory-intensive prompts over 12 GB.
TITAN V's 13.8 TFLOPS FP32 suffices for modest simulations under 12 GB; A100's 19.5 TFLOPS scales to complex, memory-heavy computations.
Frequently Asked Questions
What is the VRAM difference between A100 SXM4 80GB and TITAN V?▾
The A100 SXM4 80GB offers 80 GB HBM2e VRAM, while TITAN V provides 12 GB HBM2. This six-fold increase allows A100 to load much larger models without swapping. Bandwidth follows suit at 2039 GB/s for A100 versus 653 GB/s on TITAN V.
Which GPU has higher FP16 performance?▾
A100 SXM4 80GB achieves 312 TFLOPS in FP16, over 22 times the TITAN V's 13.8 TFLOPS. This boosts ML training speed significantly. FP32 rates are 19.5 TFLOPS on A100 against 13.8 TFLOPS on TITAN V.
What are the power requirements?▾
A100 SXM4 80GB has a 400W TDP, higher than TITAN V's 250W. TITAN V suits lower-power setups. A100's draw supports its superior 312 TFLOPS FP16 output.
Is TITAN V available on cloud platforms?▾
TITAN V currently has no live cloud offers. A100 SXM4 80GB starts at $0.45 per hour, averaging $1.35 per hour across 27 providers. This makes A100 more accessible for rentals.
How do architectures compare?▾
A100 uses Ampere from 2020 with NVLink and PCIe 4.0 interconnects. TITAN V employs Volta from 2017 in PCIe form only. A100's advancements yield 2039 GB/s bandwidth over TITAN V's 653 GB/s.
Which is better for multi-GPU setups?▾
A100 SXM4 supports NVLink, PCIe 4.0, and InfiniBand for scaling. TITAN V lacks specified interconnects beyond PCIe. A100's options enable efficient clusters.
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.