Specifications Compared
| Spec | A16 | RTX-A4000 |
|---|---|---|
| TDP | 250W | 140W |
| VRAM | 16 GB | 16 GB |
| CUDA Cores | 2,560 | 6,144 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Ampere | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 80 | 192 |
| FP16 Performance | 4.5 TFLOPS | 19.2 TFLOPS |
| FP32 Performance | 4.5 TFLOPS | 19.2 TFLOPS |
| Memory Bandwidth | 231 GB/s | 448 GB/s |
Performance Analysis
Compute performance favors the RTX A4000 decisively: its 19.2 TFLOPS FP16 and FP32 ratings dwarf the A16's 4.5 TFLOPS, enabling four times faster matrix multiplications critical for deep learning training. In practice, this accelerates model convergence during LLM training by reducing per-epoch times significantly.
Memory bandwidth doubles on the RTX A4000 at 448 GB/s compared to 231 GB/s on the A16, supporting larger batch sizes in inference workloads without saturation. For example, Stable Diffusion runs process bigger image batches, boosting throughput by minimizing data transfer stalls.
Power efficiency tilts toward the RTX A4000 with 140W TDP versus 250W, allowing cloud providers to pack more instances per rack. This lowers effective per-TFLOPS costs, especially at $0.31 average hourly rates, making it superior for sustained AI compute.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A16
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vultr | 8×NVIDIA A16 64GB VRAM | 64GB | 48 vCPU 496GB RAM 1500GB Storage | Singapore | $0.47/GPU/hr $3.77/hr total (8×) | Available | ||
Vultr | 8×NVIDIA A16 64GB VRAM | 64GB | 48 vCPU 496GB RAM 1500GB Storage | Atlanta | $0.47/GPU/hr $3.77/hr total (8×) | Available | ||
Vultr | 8×NVIDIA A16 64GB VRAM | 64GB | 48 vCPU 496GB RAM 1500GB Storage | Bangalore | $0.47/GPU/hr $3.77/hr total (8×) | Available | ||
Vultr | 2×NVIDIA A16 64GB VRAM | 64GB | 12 vCPU 128GB RAM 700GB Storage | Bangalore | $0.47/GPU/hr $0.94/hr total (2×) | Available | ||
Vultr | 4×NVIDIA A16 64GB VRAM | 64GB | 24 vCPU 256GB RAM 1200GB Storage | Atlanta | $0.47/GPU/hr $1.88/hr total (4×) | Available |
RTX A4000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA RTX A4000 16GB VRAM | 16GB | 0 vCPU 0GB RAM | Tallinn, Harjumaa | $0.08/GPU/hr | Available | ||
 Vast.ai | 8×NVIDIA RTX A4000 16GB VRAM | 16GB | 80 vCPU 201GB RAM 1698GB Storage | United Kingdom | $0.15/GPU/hr $1.17/hr total (8×) | Available | ||
 Hyperstack | 4×NVIDIA RTX A4000 16GB VRAM | 16GB | 16 vCPU 86GB RAM 500GB Storage | Norway | $0.15/GPU/hr $0.60/hr total (4×) | Available | ||
Hyperstack | 2×NVIDIA RTX A4000 16GB VRAM | 16GB | 8 vCPU 43GB RAM 200GB Storage | Norway | $0.15/GPU/hr $0.30/hr total (2×) | Available | ||
Hyperstack | NVIDIA RTX A4000 16GB VRAM | 16GB | 4 vCPU 21GB RAM 100GB Storage | Norway | $0.15/GPU/hr | Available |
When to Choose the A16
The A16 suits multi-user virtualization environments where one GPU supports numerous lightweight sessions. With 74 live cloud offers averaging $0.48 per hour, it provides high availability for VDI or shared graphics inference serving up to dozens of users simultaneously. Its 16 GB VRAM handles concurrent low-intensity tasks effectively despite lower 4.5 TFLOPS performance.
When to Choose the RTX A4000
Opt for the RTX A4000 in performance-driven single-user or high-throughput AI scenarios. Its 19.2 TFLOPS FP16/FP32 and 448 GB/s bandwidth excel in training and large-batch inference, while 140W TDP ensures efficiency. At averages of $0.31 per hour from $0.08 lows across 28 offers, it delivers superior value for demanding workloads.
Use Cases
The RTX A4000's 19.2 TFLOPS FP16/FP32 crushes the A16's 4.5 TFLOPS, slashing training times for large models. Higher 448 GB/s bandwidth supports bigger batches.
RTX A4000 handles higher request volumes with 19.2 TFLOPS and 448 GB/s bandwidth versus A16's limits. Lower $0.31/hr pricing enhances scalability.
Superior 19.2 TFLOPS on RTX A4000 accelerates parameter updates over A16's 4.5 TFLOPS. Efficient 140W TDP suits prolonged sessions.
RTX A4000's doubled 448 GB/s bandwidth enables larger image batches than A16's 231 GB/s. 19.2 TFLOPS boosts generation speeds.
High 19.2 TFLOPS FP32 on RTX A4000 outperforms A16's 4.5 TFLOPS for simulations. 140W efficiency reduces costs in long runs.
Frequently Asked Questions
Which has better performance, A16 or RTX A4000?▾
The RTX A4000 leads with 19.2 TFLOPS FP16/FP32 versus the A16's 4.5 TFLOPS. Its 448 GB/s bandwidth also doubles the A16's 231 GB/s for faster workloads.
What is the price difference between A16 and RTX A4000 in the cloud?▾
A16 starts at $0.47/hr averaging $0.48 across 74 offers. RTX A4000 begins at $0.08/hr averaging $0.31 over 28 offers, offering better value.
Does the A16 or RTX A4000 use less power?▾
RTX A4000 consumes 140W TDP compared to A16's 250W. This efficiency supports higher density in cloud servers.
Are A16 and RTX A4000 good for AI training?▾
RTX A4000 excels with 19.2 TFLOPS for training, far beyond A16's 4.5 TFLOPS. Both share 16 GB VRAM but A4000 handles larger models faster.
Can I use either for Stable Diffusion?▾
RTX A4000 is preferable due to 448 GB/s bandwidth for batch processing. A16's 231 GB/s limits throughput despite matching 16 GB VRAM.
What architecture do A16 and RTX A4000 share?▾
Both employ NVIDIA's Ampere architecture from 2021. This ensures compatibility but highlights RTX A4000's superior specs.
Which is cheaper to rent, the A16 or the RTX A4000?▾
Cloud rental prices for both the A16 and RTX A4000 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 A16 have compared to the RTX A4000?▾
The A16 has 16 GB of GDDR6 memory. The RTX A4000 has 16 GB of GDDR6 memory.
Can I find A16 and RTX A4000 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 A16 and the RTX A4000?▾
The A16 uses the Ampere architecture (2021) while the RTX A4000 uses Ampere (2021). The RTX A4000 delivers 4.3x the FP16 throughput and 1.9x the memory bandwidth of the A16.