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'''NVIDIA Tesla A10 Server''' is a versatile data center GPU cloud server available from [https://en.immers.cloud/signup/r/20241007-8310688-334/ 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 ==
{| class="wikitable"
|-
! 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 [https://en.immers.cloud/signup/r/20241007-8310688-334/ 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]].

== See Also ==
* [[NVIDIA Tesla T4 Server]]
* [[NVIDIA Tesla A2 Server]]
* [[NVIDIA A100 Server]]
* [[NVIDIA RTX A5000 Server]]
* [[NVIDIA RTX 3090 Server]]

[[Category:GPU Servers]]
[[Category:Data Center GPU]]
[[Category:Professional GPU]]

NVIDIA Tesla A10 Server - Revision history

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