Nvidia Tesla A100 80GB HBM2e Ampere Accelarator Graphics Card Deeplearning AI

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Location: ShenZhen
Ships to: US,
Item: 395513907125

Restocking Fee:No
Return shipping will be paid by:Seller
All returns accepted:Returns Accepted
Item must be returned within:30 Days
Refund will be given as:Money back or replacement (buyer’s choice)
APIs:CUDA,DIRECTCOMPUTE,OPENACC,OPENCL,TENSOR CORES
NVIDIA:NVIDIA
Chipsatz/GPU-Hersteller:NVIDIA
Chipsatz/GPU-Modell:NVIDIA Tesla A100
Chipset Manufacturer:NVIDIA
Chipset/GPU Model:NVIDIA Tesla A100
Compatible Slot:PCI Express 4.0 x16
Kompatibler Anschluss/Steckplatz:PCI Express 4.0 x16
Marke:NVIDIA
Memory Size:80GB

NVIDIA A100 Tensor Core GPUUnprecedented acceleration at every scaleAccelerating the Most Important Work of Our TimeNVIDIA A100 Tensor Core GPU delivers unprecedented acceleration at every scale to power the world’s highest-performing elastic data centers for AI, data analytics, and HPC. Powered by the NVIDIA Ampere Architecture, A100 is the engine of the NVIDIA data center platform. A100 provides up to 20X higher performance over the prior generation and can be partitioned into seven GPU instances to dynamically adjust to shifting demands. The A100 80GB debuts the world’s fastest memory bandwidth at over 2 terabytes per second (TB/s) to run the largest models and datasets.Read NVIDIA A100 Datasheet (PDF 640 KB)Read NVIDIA A100 80GB PCIe Product Brief (PDF 380 KB)Enterprise-Ready Software for AIThe NVIDIA EGX™ platform includes optimized software that delivers accelerated computing across the infrastructure. With NVIDIA AI Enterprise, businesses can access an end-to-end, cloud-native suite of  AI and data analytics software that’s  optimized, certified, and supported by NVIDIA to run on VMware vSphere  with  NVIDIA-Certified  Systems. NVIDIA AI Enterprise includes key enabling technologies  from NVIDIA for  rapid deployment, management, and scaling of AI workloads  in the modern hybrid cloud. Learn MoreThe Most Powerful End-to-End AI and HPC Data Center PlatformA100 is part of the complete NVIDIA data center solution that incorporates building blocks across hardware, networking, software, libraries, and optimized AI models and applications from NGC™. Representing the most powerful end-to-end AI and HPC platform for data centers, it allows researchers to rapidly deliver real-world results and deploy solutions into production at scale.Deep Learning TrainingUp to 3X Higher AI Training on Largest ModelsDLRM TrainingDLRM on HugeCTR framework, precision = FP16 | NVIDIA A100 80GB batch size = 48 | NVIDIA A100 40GB batch size = 32 | NVIDIA V100 32GB batch size = 32.AI models are exploding in complexity as they take on next-level challenges such as conversational AI. Training them requires massive compute power and scalability.NVIDIA A100 Tensor Cores with Tensor Float (TF32) provide up to 20X higher performance over the NVIDIA Volta with zero code changes and an additional 2X boost with automatic mixed precision and FP16. When combined with NVIDIA® NVLink®, NVIDIA NVSwitch™, PCI Gen4, NVIDIA® InfiniBand®, and the NVIDIA Magnum IO™ SDK, it’s possible to scale to thousands of A100 GPUs.A training workload like BERT can be solved at scale in under a minute by 2,048 A100 GPUs, a world record for time to solution.For the largest models with massive data tables like deep learning recommendation models (DLRM), A100 80GB reaches up to 1.3 TB of unified memory per node and delivers up to a 3X throughput increase over A100 40GB.NVIDIA’s leadership in MLPerf, setting multiple performance records in the industry-wide benchmark for AI training.Learn More About A100 for TrainingDeep Learning InferenceA100 introduces groundbreaking features to optimize inference workloads. It accelerates a full range of precision, from FP32 to INT4. Multi-Instance GPU (MIG) technology lets multiple networks operate simultaneously on a single A100 for optimal utilization of compute resources. And structural sparsity support delivers up to 2X more performance on top of A100’s other inference performance gains.On state-of-the-art conversational AI models like BERT, A100 accelerates inference throughput up to 249X over CPUs.On the most complex models that are batch-size constrained like RNN-T for automatic speech recognition, A100 80GB’s increased memory capacity doubles the size of each MIG and delivers up to 1.25X higher throughput over A100 40GB.NVIDIA’s market-leading performance was demonstrated in MLPerf Inference. A100 brings 20X more performance to further extend that leadership.Learn More About A100 for InferenceUp to 249X Higher AI Inference PerformanceOver CPUsBERT-LARGE InferenceBERT-Large Inference | CPU only: Xeon Gold 6240 @ 2.60 GHz, precision = FP32, batch size = 128 | V100: NVIDIA TensorRT™ (TRT) 7.2, precision = INT8, batch size = 256 | A100 40GB and 80GB, batch size = 256, precision = INT8 with sparsity.Up to 1.25X Higher AI Inference PerformanceOver A100 40GBRNN-T Inference: Single StreamMLPerf 0.7 RNN-T measured with (1/7) MIG slices. Framework: TensorRT 7.2, dataset = LibriSpeech, precision = FP16.High-Performance ComputingTo unlock next-generation discoveries, scientists look to simulations to better understand the world around us.NVIDIA A100 introduces double precision Tensor Cores to deliver the biggest leap in HPC performance since the introduction of GPUs. Combined with 80GB of the fastest GPU memory, researchers can reduce a 10-hour, double-precision simulation to under four hours on A100. HPC applications can also leverage TF32 to achieve up to 11X higher throughput for single-precision, dense matrix-multiply operations.For the HPC applications with the largest datasets, A100 80GB’s additional memory delivers up to a 2X throughput increase with Quantum Espresso, a materials simulation. This massive memory and unprecedented memory bandwidth makes the A100 80GB the ideal platform for next-generation workloads.Review Latest GPU Performance on HPC Applications11X More HPC Performance in Four YearsTop HPC AppsGeometric mean of application speedups vs. P100: Benchmark application: Amber [PME-Cellulose_NVE], Chroma [szscl21_24_128], GROMACS [ADH Dodec], MILC [Apex Medium], NAMD [stmv_nve_cuda], PyTorch (BERT-Large Fine Tuner], Quantum Espresso [AUSURF112-jR]; Random Forest FP32 [make_blobs (160000 x 64 : 10)], TensorFlow [ResNet-50], VASP 6 [Si Huge] | GPU node with dual-socket CPUs with 4x NVIDIA P100, V100, or A100 GPUs.Up to 1.8X Higher Performance for HPC ApplicationsQuantum EspressoQuantum Espresso measured using CNT10POR8 dataset, precision = FP64.High-Performance Data Analytics2X Faster than A100 40GB on Big Data Analytics BenchmarkBig data analytics benchmark | 30 analytical retail queries, ETL, ML, NLP on 10TB dataset | V100 32GB, RAPIDS/Dask | A100 40GB and A100 80GB, RAPIDS/Dask/BlazingSQLData 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 A100 provide the needed compute power—along with massive memory, over 2 TB/sec of memory bandwidth, and scalability with NVIDIA® NVLink® and NVSwitch™, —to tackle these workloads. Combined with InfiniBand, NVIDIA Magnum IO™ and the RAPIDS™ suite of open-source libraries, including the RAPIDS Accelerator for Apache Spark for GPU-accelerated data analytics, the NVIDIA data center platform accelerates these huge workloads at unprecedented levels of performance and efficiency.On a big data analytics benchmark, A100 80GB delivered insights with a 2X increase over A100 40GB, making it ideally suited for emerging workloads with exploding dataset sizes.Learn More About Data AnalyticsEnterprise-Ready Utilization7X Higher Inference Throughput with Multi-Instance GPU (MIG)BERT Large InferenceBERT Large Inference | NVIDIA TensorRT™ (TRT) 7.1 | NVIDIA T4 Tensor Core GPU: TRT 7.1, precision = INT8, batch size = 256 | V100: TRT 7.1, precision = FP16, batch size = 256 | A100 with 1 or 7 MIG instances of 1g.5gb: batch size = 94, precision = INT8 with sparsity.A100 with MIG maximizes the utilization of GPU-accelerated infrastructure. With MIG, an A100 GPU can be partitioned into as many as seven independent instances, giving multiple users access to GPU acceleration. With A100 40GB, each MIG instance can be allocated up to 5GB, and with A100 80GB’s increased memory capacity, that size is doubled to 10GB.MIG works with Kubernetes, containers, and hypervisor-based server virtualization. MIG lets infrastructure managers offer a right-sized GPU with guaranteed quality of service (QoS) for every job, extending the reach of accelerated computing resources to every user.Learn More About MigData Center GPUsNVIDIA A100 for HGXUltimate performance for all workloads.NVIDIA A100 for PCIeHighest versatility for all workloads.Specifications A100 80GB PCIeA100 80GB SXMFP649.7 TFLOPSFP64 Tensor Core19.5 TFLOPSFP3219.5 TFLOPSTensor Float 32 (TF32)156 TFLOPS | 312 TFLOPS*BFLOAT16 Tensor Core312 TFLOPS | 624 TFLOPS*FP16 Tensor Core312 TFLOPS | 624 TFLOPS*INT8 Tensor Core624 TOPS | 1248 TOPS*GPU Memory80GB HBM2e80GB HBM2eGPU Memory Bandwidth1,935 GB/s2,039 GB/sMax Thermal Design Power (TDP)300W400W ***Multi-Instance GPUUp to 7 MIGs @ 10GBUp to 7 MIGs @ 10GBForm FactorPCIeDual-slot air-cooled or single-slot liquid-cooledSXMInterconnectNVIDIA® NVLink® Bridgefor 2 GPUs: 600 GB/s **PCIe Gen4: 64 GB/sNVLink: 600 GB/sPCIe Gen4: 64 GB/sServer OptionsPartner and NVIDIA-Certified Systems™ with 1-8 GPUsNVIDIA HGX™ A100-Partner and NVIDIA-Certified Systems with 4,8, or 16 GPUs NVIDIA DGX™ A100 with 8 GPUs You may also likeGUNNIR Intel Arc A750 Photon 8G OC W GDDR6 Graphics card335.0 USDFree shippingYESTON AMD RX7800XT-16GD6 SAKURA 2124-2430MHz overclocking 2213-2520MHz835.0 USDFree shippingASUS DUAL-RX6750GRE-12G-V2-GAMING Card 12GB GDDR6 Game Mode Up to 2581MHz GPU494.0 USDFree shippingGigabyte RTX 3080 10GB Turbo GPU NVIDIA GDDR6X PCIe 4.0 x16 Graphics Card785.0 USDFree shippingNVIDIA Quadro GV100 32GB HBM2 PCIe GPU CUDA Tensor AI Accelerator Rendering Card3900.0 USDFree shippingZOTAC GeForce RTX 4060-8GB X-GAMING OC TWIN Graphics card514.8 USDFree shippingNvidia A100 64GB PCI-E 4.0 SXM4 Graphics Card Part9699.0 USDFree shippingColorful iGame GeForce RTX 4090 D 24GB Neptune Graphics card3080.0 USDFree shippingColorful iGame GeForce RTX 4070 Ti SUPER Ultra W OC 16GB DLSS3 Gaming Optical1499.0 USDFree shippingNVIDIA YESTON RTX4070 Ti SUPER – Sakura 16G/256bit/GDDR6X Ray Tracing DLSS 31400.0 USDFree shippingYESTON AMD RX7900XTX-24GD6 SAKURA SUGAR 384bit GDDR6 DP(2.1) *3 + HDMI(2.1)1425.0 USDFree shippingColorful iGame GeForce RTX 4090 D Vulcan W 24GB 384bit 16pin 425W3199.0 USDFree shipping

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