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NVIDIA Tesla A30 Tensor Core GPU

**NVIDIA Tesla A30 Tensor Core GPU – Professional AI Accelerator**

The NVIDIA Tesla A30 delivers exceptional AI training and inference performance with 24GB of high-bandwidth memory and third-generation Tensor Cores. Built on NVIDIA Ampere architecture, it provides up to 165 teraFLOPS of AI performance while consuming only 165W power.

**Key Features:**
– 24GB HBM2 memory with 1.5TB/s bandwidth
– 3,584 CUDA cores and 224 third-generation Tensor Cores
– PCIe Gen4 interface with NVLink support
– Multi-Instance GPU (MIG) technology for workload isolation

**Primary Benefits:**
– Accelerates AI training workloads up to 20x versus CPUs
– Enables real-time inference for large language models and computer vision
– Reduces data center costs through superior performance-per-watt efficiency
– Supports simultaneous multi-tenant AI applications via MIG partitioning

**Unique Advantages:**
– Optimized balance of memory capacity and computational power for mid-range deployments
– Native support for sparse neural networks with 2:4 structured sparsity
– Enterprise-grade reliability with ECC memory protection
– Seamless integration with NVIDIA AI software ecosystem including CUDA, cuDNN, and TensorRT

Ideal for organizations requiring powerful AI acceleration without the premium cost of flagship models.

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BrandNVIDIA
Products StatusNew
ApplicationAI
ModelTesla A30
InterfacePCIe 4.0x16
Brand

NVIDIA

Products Status

New

Application

AI

Model

Tesla A30

Interface

PCIe 4.0×16

CUDA

21760

Memory Type

24GB HBM2e

Architecture

Blackwell

TDP

575W

Memory bandwidth

933GB/s

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