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NVIDIA Tesla A10 Server
NVIDIA Tesla A10 Server is a versatile data center GPU cloud server available from Immers Cloud. The A10 combines Ampere architecture with 24 GB GDDR6, professional features, and a mid-range price point, making it one of the most flexible GPU options for mixed workloads.
Specifications
| Component | Specification |
|---|---|
| GPU | NVIDIA Tesla A10 (Ampere architecture) |
| VRAM | 24 GB GDDR6 |
| CUDA Cores | 9,216 |
| Memory Bandwidth | 600 GB/s |
| Tensor Cores | 3rd Generation (FP16, BF16, TF32, INT8) |
| TDP | 150W |
| Starting Price | From $0.41/hr |
Performance
The Tesla A10 is NVIDIA's versatile data center GPU, sitting between the inference-focused T4/A2 and the training-focused A100:
- 9,216 CUDA cores — more than T4 (2,560) and A2 (1,280) combined
- 24 GB GDDR6 — matches consumer RTX 3090/4090 in VRAM
- 3rd-gen Tensor Cores — full Ampere tensor operations (FP16, BF16, TF32, INT8)
- 150W TDP — moderate power consumption
- Hardware video encoding — NVENC for streaming and transcoding
The A10 can both train and serve models, unlike the T4 and A2 which are inference-only. Compared to the NVIDIA RTX 3090 Server ($0.75/hr):
- Similar CUDA core count (9,216 vs 10,496)
- Same 24 GB VRAM
- ECC memory for data integrity
- 45% cheaper per hour
- Data center-grade reliability
This makes the A10 one of the best value propositions when you need both training capability and production reliability.
Best Use Cases
- Mixed training + inference workloads
- Production inference with 24 GB VRAM
- Video transcoding with hardware NVENC
- Virtual desktop infrastructure (VDI)
- Cloud gaming backend
- Computer vision training and deployment
- Small-to-medium LLM fine-tuning
- AI-powered content generation
Pros and Cons
Advantages
- $0.41/hr — excellent price for 24 GB data center GPU
- ECC GDDR6 memory for production reliability
- Versatile: handles both training and inference
- 9,216 CUDA cores — capable of real training
- Hardware video encoding (NVENC)
- 150W TDP — power efficient for the capability
- Data center-grade reliability and support
Limitations
- GDDR6 (not HBM) limits memory bandwidth to 600 GB/s
- Not as fast for training as A100 or H100
- No NVLink for multi-GPU configurations
- 24 GB VRAM limits largest model sizes
- Lower bandwidth than consumer RTX 3090 (600 vs 936 GB/s)
Pricing
Available from Immers Cloud starting at $0.41/hr. Monthly cost for 24/7: approximately $295. Outstanding value for a data center GPU with 24 GB VRAM.
Recommendation
The NVIDIA Tesla A10 Server is the best all-rounder in the GPU lineup. At $0.41/hr with 24 GB ECC VRAM, data center reliability, and enough CUDA cores for both training and inference, it suits a remarkably wide range of workloads. Choose the A10 when you need a production-grade GPU that can do it all without breaking the budget. For pure inference, the NVIDIA Tesla T4 Server is cheaper. For maximum training speed, upgrade to the NVIDIA A100 Server.