NVIDIA A30 24GB GDDR6 Server GPU
The
NVIDIA A30 24GB GDDR6 Server GPU delivers exceptional performance with its 10752 CUDA cores and 24GB GDDR6 memory. Designed on the powerful NVIDIA Ampere architecture, it achieves up to 10.3 TFLOPS in FP32 performance. This GPU is ideal for demanding workloads, offering high-speed memory bandwidth of 933 GB/s and 3rd Gen Tensor Cores for accelerated AI tasks.
✅ NVIDIA A30 Specification Table
| Specification |
Details |
| GPU Architecture |
NVIDIA Ampere |
| CUDA Cores |
10752 |
| Memory |
24 GB GDDR6 with ECC |
| Memory Bandwidth |
933 GB/s |
| Tensor Cores |
3rd Gen Tensor Cores |
| RT Cores |
Not supported |
| FP32 Performance |
Up to 10.3 TFLOPS |
| Tensor Performance (TF32) |
Up to 165 TFLOPS (with sparsity) |
| NVLink |
2-way NVLink, 600 GB/s |
| TDP (Thermal Design Power) |
165 Watts |
| Form Factor |
Dual-slot, full-height PCIe card |
| Interface |
PCIe Gen4 |
| ECC Support |
Yes |
| Target Workloads |
AI Inference, HPC, Data Analytics |
| Virtualization |
NVIDIA Virtual GPU (vGPU) supported |
? NVIDIA A30 Server GPU Description
The NVIDIA A30 24GB GDDR6 Server GPU is a powerful, versatile accelerator designed for modern data center workloads such as AI inference, high-performance computing (HPC), and data analytics. Built on the Ampere architecture, it features 10,752 CUDA cores and 24 GB of high-speed GDDR6 memory with ECC, ensuring precision and reliability in enterprise-level tasks. With support for 3rd generation Tensor Cores, the A30 delivers exceptional AI performance, enabling up to 165 TFLOPS of throughput for Tensor Float 32 (TF32) operations with sparsity, making it highly efficient for AI inference and training.
Optimized for both multi-instance GPU (MIG) partitioning and virtualization via NVIDIA vGPU software, the A30 excels in shared environments. Its PCIe Gen4 interface and NVLink interconnect offer high-speed communication, critical for distributed computing and scalability. With a modest 165W power consumption, the A30 delivers an excellent performance-per-watt ratio, ideal for servers prioritizing energy efficiency without sacrificing compute capability.
Unlike GPUs geared toward rendering or gaming, the
A30 lacks RT cores, focusing entirely on compute-intensive operations. It’s a top-tier choice for organizations building or scaling AI infrastructure, enabling faster insights and improved productivity across industries like healthcare, finance, and research.
? Key Features
- GPU Architecture: NVIDIA Ampere Architecture
- Memory: 24GB GDDR6 ECC memory
- Tensor Cores: 3rd Gen, optimized for AI workloads
- CUDA Cores: 10752
- Multi-Instance GPU (MIG): Partition the GPU into up to 4 secure, hardware-isolated instances
- NVLink: High-bandwidth interconnect for multi-GPU scaling
- Form Factor: Dual-slot, passive cooling (ideal for server environments)
- Power: ~165W TDP
- PCIe Gen 4: Faster data throughput for modern servers
? Where It Can Be Used?
The NVIDIA A30 is designed for data centers and enterprise-grade applications:
- ✅ AI inference and training workloads (medium-scale)
- ✅ High-performance computing (HPC)
- ✅ Virtual desktop infrastructure (VDI)
- ✅ Data analytics (e.g., Spark, RAPIDS)
- ✅ Medical imaging, natural language processing, and simulation workloads
?️ Installation Steps
- Verify Compatibility: Ensure your server chassis supports dual-slot, passive-cooled GPUs and PCIe Gen 4.
- Power Off the System: Completely shut down and unplug the server.
- Insert the GPU: Locate an appropriate PCIe x16 slot. Carefully insert the GPU into the slot and secure it.
- Connect Auxiliary Power (if required by the server configuration).
- Close the Chassis and Reboot.
- Install Drivers: Download latest NVIDIA Data Center drivers from the official NVIDIA site. Install via CLI or package manager (e.g., apt, yum).
- Verify Installation: Use to confirm proper detection and status.
? User Experience
- Performance: Excellent for parallel workloads, AI model deployment, and compute-intensive services.
- Scalability: MIG enables multiple users or services to share a single GPU with guaranteed performance.
- Efficiency: Low power draw relative to performance output.
- Ecosystem: Seamless integration with CUDA, TensorRT, RAPIDS, VMware, and other NVIDIA AI software stacks.
❓ Why Choose the NVIDIA A30 24GB?
- ? High-value balance between AI training and inference.
- ? Enterprise-grade reliability with ECC memory and MIG.
- ? Optimized for modern AI and HPC workloads without the power and cost overhead of larger A100 GPUs.
- ? Cost-effective choice for businesses scaling their AI operations on a budget.
Buy NVIDIA A30 24GB GDDR6 Server GPU at the Best Price from Datacom BD Online
In Bangladesh, you can get
NVIDIA A30 24GB GDDR6 Server GPU From
Datacom. We have a large collection of latest
Server Graphics Card to purchase. Order Online Or Visit our Office to get yours at lowest price. The NVIDIA A30 24GB GDDR6 GPU comes with 1 Year warranty.
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What is the price of NVIDIA A30 24GB GDDR6 Server GPU in Bangladesh?
The estimated price of
NVIDIA A30 24GB GDDR6 Server GPU in Bangladesh is 460,500৳. You can buy the
NVIDIA A30 24GB GDDR6 GPU at best price from our website or visit our Office.
For the most accurate pricing, stock availability, and warranty details, we recommend contacting us before placing your order.
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