PNY NVIDIA A30 - GPU computing processor

Productcode: TCSA30M-PB | EAN/UPC: 3536403384135

€ 5.438,15 excl.btw

NVIDIA A30 - GPU computing processor - A30 - 24 GB HBM2 - PCIe 4.0 x16 - fanless

Deep learning training
High-performance computing
High-performance data analytics
Enterprise-ready utilization

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PNY NVIDIA A30 - GPU computing processor

€ 6580,16 incl. 21% btw € 5438,15excl. 21% btw

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Omschrijving

NVIDIA A30 - GPU computing processor - A30 - 24 GB HBM2 - PCIe 4.0 x16 - fanless

Product features

Deep learning training
NVIDIA A30 leverages groundbreaking features to optimize inference workloads. It accelerates a full range of precisions, from FP64 to TF32 and INT4. Supporting up to four MIGs per GPY, A30 lets multiple networks operate simultaneously in secure hardware partitions with guaranteed quality of service (QoS). Structural sparsity support delivers up to 2x more performance on top of A30's other inference performance gains. NVIDIA's market-leading AI performance was demonstrated in MLPerf Inference. Combined with the NVIDIA Triton Inference Server, which easily deploys AI at scale, A30 brings this groundbreaking performance to every enterprise.
High-performance computing
NVIDIA A30 features FP64 NVIDIA Ampere architecture Tensor Cores that deliver the biggest leap in HPC performance since the introduction of GPUs. Combined with 24 gigabytes (GB) of GPU memory with a bandwidth of 933 gigabytes per second (GB/s), researchers can rapidly solve double-precision calculations. HPC applications can also leverage TF32 to achieve higher throughout for single-precision, dense matrix multiply operations. The combination pf FP64 Tensor Cores and MIG empowers research institutions to securely partition the GPU to allow multiple researchers access to compute resources with guaranteed QoS and maximum GPU utilization. Enterprises deploying AI can use A30's inference capabilities during peak demand periods and then repurpose the same compute servers for HPC and AI training workloads during off-peak periods.
High-performance data analytics
Data scientists need to be able to analyze, visualize, and turn massive datasets into insights. But scale-out solutions are often bogged down by datasets scattered across multiple servers. Accelerated servers with A30 provide the needed compute power - along with large HBM2 memory, 933 GB/s of memory bandwidth, and scalability with NVLink - to tackle these workloads. Combined with NVIDIA InfiniBand, NVIDIA Magnum IO and the RAPIDS site of open-source libraries, including the RAPIDS Accelerator for Apache Spark, the NVIDIA data center platform accelerates these huge workloads at unprecedented levels of performance and efficiency.
Enterprise-ready utilization
A30 with MIG maximizes the utilization of GPU accelerated infrastructure. With MIG, an A30 GPU can be partitioned into as many as four independent instances, giving multiple users access to GPU acceleration. MIG works with Kubernetes, containers, and hypervisor-based server virtualization. MIG lets infrastructure managers offer a right-sized GPU with guaranteed QoS for every job, extending the reach of accelerated computing resources to every user.

Specificaties

General

Device Type

GPU computing processor - fanless

Bus Type

PCI Express 4.0 x16

Graphics Engine

NVIDIA A30

CUDA Cores

3804

Features

NVIDIA Ampere GPU technology, NVIDIA Tensor Core, Multi-Instance GPU (MIG) technology, dual slot width, 5.2 Tflops peak double-precision floating point performance, 10.3 Tflops peak single-precision floating point performance

Memory

Size

24 GB

Technology

HBM2

Bus Width

3072-bit

Bandwidth

933 GBps

System Requirements

Additional Requirements

8-pin CPU power connector

Miscellaneous

Power Consumption Operational

165 Watt

Depth

26.77 cm

Height

11.115 cm

Weight

1.024 kg

Manufacturer Warranty

Service & Support

Limited warranty - 3 years

This data is supplied by 1WorldSync and matched through an automated process. Truedata is not responsible for errors in this data.

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PNY NVIDIA A30 - GPU computing processor

Omschrijving

Specificaties

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