A5000 vs A10
Explore a head to head comparison of specifications, performance, and pricing.
A5000
The NVIDIA A5000 delivers high-performance computing capabilities for AI, machine learning, and data science applications.
A10
The NVIDIA A10 delivers high-performance computing capabilities for AI, machine learning, and data science applications.
A5000 vs A10: Which Should You Choose?
Both the A5000 and A10 offer 24 GB of VRAM, putting them on equal footing for memory-bound workloads. On FP16 throughput, the A10 delivers 31.24 TFLOPS versus 27.77 TFLOPS on the A5000 — 1.1× faster for mixed-precision training and inference. Memory bandwidth favors the A5000 at 0.77 TB/s compared to 0.60 TB/s on the A10, which directly impacts inference latency for memory-bandwidth-bound models. On Shadeform, the A5000 starts from $0.44/hr versus $1.29/hr for the A10 — 193% more expensive — reflecting the performance premium. The A5000 is available across 2 cloud providers on Shadeform compared to 1 for the A10, giving more options for region and pricing flexibility.
A5000 — Best Use Cases
- •General-purpose deep learning training
- •Fine-tuning models up to 13B parameters
- •AI inference at moderate throughput
- •Computer vision and NLP workloads
Choose A5000 when:
- ✓Cost efficiency is your primary concern
- ✓Your workload does not require peak FP16 throughput
- ✓You need flexibility across multiple cloud providers or regions
A10 — Best Use Cases
- •General-purpose deep learning training
- •Fine-tuning models up to 13B parameters
- •AI inference at moderate throughput
- •Computer vision and NLP workloads
Choose A10 when:
- ✓Maximum performance justifies the higher cost
- ✓You are training large models or running high-throughput inference
- ✓Your preferred provider already has availability
See how the A5000 & A10 compare
Compare detailed hardware specifications and average pricing for the A5000 and A10.
Compare Hardware Specifications
| A5000 | A10 | |
|---|---|---|
| GPU Type | A5000 | A10 |
| VRAM per GPU | 24 GB | 24 GB |
| Manufacturer | NVIDIA | NVIDIA |
| Architecture | Ampere | Ampere |
| Interconnect | PCIe Gen4 | PCIe Gen4 |
| Memory Bandwidth | 768 GB/s | 600 GB/s |
| FP16 TFLOPS | 27.77 TFLOPS (1:1) | 31.24 TFLOPS (1:1) |
| CUDA Cores | 8192 | 9216 |
| Tensor Cores | 256 (3rd Gen) | 288 (3rd Gen) |
| RT Cores | 64 (2nd Gen) | 72 (2nd Gen) |
| Base Clock | 1170 MHz | 885 MHz |
| Boost Clock | 1695 MHz | 1695 MHz |
| TDP | 230W | 150W |
| Process Node | TSMC 8nm | TSMC 8nm |
| Data Formats | INT8, BF16, FP16, TF32, FP32 | INT4, INT8, BF16, FP16, TF32, FP32 |
Compare Average On-Demand Pricing
| A5000 | A10 | |
|---|---|---|
| 1 GPU | $0.93 /hr | $1.29 /hr |
| 2 GPUs | $1.86 /hr | N/A |
| 4 GPUs | $3.72 /hr | N/A |
| 8 GPUs | $3.52 /hr | N/A |
Frequently Asked Questions: A5000 vs A10
The main differences are FP16 throughput (27.77 vs 31.24 TFLOPS).
The A10 is generally better for large language model training due to its higher throughput and 24 GB of VRAM, which allows fitting larger models or larger batch sizes in a single pass. For smaller models or fine-tuning tasks where cost matters more, both GPUs can be effective.
On Shadeform, the A5000 is available from $0.44/hr. The A10 starts from $1.29/hr. Prices vary by provider, region, and contract length. Reserved commitments can reduce hourly costs significantly compared to on-demand pricing.
Based on TFLOPS per dollar, the A5000 offers better raw compute value at current Shadeform on-demand rates. However, the best choice depends on your specific workload — if you need the extra VRAM or throughput of the A10, paying the premium may be justified by faster job completion and lower total cost.
The A5000 is currently available across 2 cloud providers on Shadeform's network, compared to 1 for the A10. Shadeform lets you deploy either GPU across all available providers from a single platform, so you can always find available capacity without manually checking each cloud.
Mixing different GPU types in a single training cluster is generally not recommended, as it creates performance bottlenecks where faster GPUs wait for slower ones. For best results, use a homogeneous cluster of either A5000 or A10. Shadeform supports on-demand clusters of up to 64 GPUs of the same type with no commitment required.
Explore A5000 & A10 Instances
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