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Product Details
NVIDIA A100 80GB
Unprecedented Acceleration for World’s Highest-Performing Elastic Data Centers
The Nvidia A100 80GB Tensor Core GPU delivers unprecedented acceleration—at every scale—to power the world’s highest performing elastic data centers for AI, data analytics, and high-performance computing (HPC) applications. As the engine of the Nvidia data center platform, A100 provides up to 20x higher performance over the prior Nvidia Volta generation. A100 can efficiently scale up or be partitioned into seven isolated GPU instances, With Multi-Instance GPU (MIG) providing a unified platform that enables elastic data centers to dynamically adjust to shifting workload demands.
A100 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 deliver real-world results and deploy solutions into production at scale, while allowing IT to optimize the utilization of every available A100 GPU.
Highlights
| CUDA Cores | 6912 |
| Streaming Multiprocessors | 108 |
| Tensor Cores | Gen 3 | 432 |
| GPU Memory | 80GB HBM2e ECC on by Default |
| Memory Interface | 5120-bit |
| Memory Bandwidth | 1555 GB/s |
| NVLink | 2-Way, 2-Slot, 600 GB/s Bidirectional |
| MIG (Multi-Instance GPU) Support | Yes, up to 7 GPU Instances |
| FP64 | 9.7 TFLOPS |
| FP64 Tensor Core | 19.5 TFLOPS |
| FP32 | 19.5 TFLOPS |
| TF32 Tensor Core | 156 TFLOPS | 312 TFLOPS* |
| BFLOAT16 Tensor Core | 312 TFLOPS | 624 TFLOPS* |
| FP16 Tensor Core | 312 TFLOPS | 624 TFLOPS* |
| INT8 Tensor Core | 624 TOPS | 1248 TOPS* |
| INT4 Tensor Core | 1248 TOPS | 2496 TOPS* |
| Thermal Solutions | Passive |
| vGPU Support | NVIDIA Virtual Compute Server (vCS) |
| System Interface | PCIE 4.0 x16 |
| Maximum Power Consumption | 300 W |
*With Sparsity
NVIDIA Ampere-Based Architecture
- A100 accelerates workloads big and small. Whether using MIG to partition an A100 GPU into smaller instances, or NVLink to connect multiple GPUs to accelerate large-scale workloads, the A100 easily handles different-sized application needs, from the smallest job to the biggest multi-node workload.
Third-Generation Tensor Cores
- First introduced in the Nvidia Volta architecture, Nvidia Tensor Core technology has brought dramatic speedups to AI training and inference operations, bringing down training times from weeks to hours and providing massive acceleration to inference. The Nvidia Ampere architecture builds upon these innovations by providing up to 20x higher FLOPS for AI. It does so by improving the performance of existing precisions and bringing new precisions—TF32, INT8, and FP64—that accelerate and simplify AI adoption and extend the power of Nvidia Tensor Cores to HPC.
TF32 for AI: 20x Higher Performance, Zero Code Change
- As AI networks and datasets continue to expand exponentially, their computing appetite is similarly growing. Lower precision math has brought huge performance speedups, but they’ve historically required some code changes. A100 brings a new precision, TF32, which works just like FP32 while providing 20x higher FLOPS for AI without requiring any code change. And NVIDIA’s automatic mixed precision feature enables a further 2x boost to performance With just one additional line of code using FP16 precision. A100 Tensor Cores also include support for BFLOAT16, INT8, and INT4 precision, making A100 an incredibly versatile accelerator for both AI training and inference.
Double-Precision Tensor Cores: The Biggest Milestone Since FP64 for HPC
- A100 brings the power of Tensor Cores to HPC, providing the biggest milestone since the introduction of double-precision GPU computing for HPC. The third generation of Tensor Cores in A100 enables matrix operations in full, IEEE-compliant, FP64 precision. Through enhancements in Nvidia CUDA-X math libraries, a range of HPC applications that need double-precision math can now see a boost of up to 2.5x in performance and efficiency compared to prior generations of GPUs.
Multi-Instance GPU (MIG)
- Every AI and HPC application can benefit from acceleration, but not every application needs the performance of a full A100. With Multi-Instance GPU (MIG), each A100 can be partitioned into as many as seven GPU instances, fully isolated at the hardware level With their own high-bandwidth memory, cache, and compute cores. Now, developers can access breakthrough acceleration for all their applications, big and small, and get guaranteed quality of service. And IT administrators can offer right-sized GPU acceleration for optimal utilization and expand access to every user and application.
MIG is available across both bare metal and virtualized environments and is supported by Nvidia Container Runtime which supports all major runtimes such as LXC, Docker, CRI-O, Containerd, Podman, and Singularity. Each MIG instance is a new GPU type in Kubernetes and will be available across all Kubernetes distributions such as Red Hat OpenShift, VMware Project Pacific, and others on-premises and on public clouds via Nvidia Device Plugin for Kubernetes. Administrators can also benefit from hypervisor-based virtualization, including KVM based hypervisors such as Red Hat RHEL/RHV, and VMware ESXi, on MIG instances through Nvidia vComputeServer.
HBM2e
- With 80 gigabytes (GB) of high-bandwidth memory (HBM2e), A100 delivers improved raw bandwidth of 1.6TB/sec, as well as higher dynamic random access memory (DRAM) utilization efficiency at 95 percent. A100 delivers 1.7x higher memory bandwidth over the previous generation.
Structural Sparsity
- AI networks are big, having millions to billions of parameters. Not all of these parameters are needed for accurate predictions, and some can be converted to zeros to make the models “sparse” without compromising accuracy. Tensor Cores in A100 can provide up to 2x higher performance for sparse models. While the sparsity feature more readily benefits AI inference, it can also improve the performance of model training.
Next Generation NVLink
- NVIDIA NVLink in A100 delivers 2x higher throughput compared to the previous generation, at up to 600 GB/s to unleash the highest application performance possible on a single server. Two Nvidia A100 Pcie boards can be bridged via NVLink, and multiple pairs of NVLink connected boards can reside in a single server (number varies based on server enclose, thermals, and power supply capacity).
Every Deep Learning Framework, 700+ GPU-Accelerated Applications
- The Nvidia A100 Tensor Core GPU is the flagship product of the Nvidia data center platform for deep learning, HPC, and data analytics. It accelerates every major deep learning framework and accelerates over 700 HPC applications. It’s available everywhere, from desktops to servers to cloud services, delivering both dramatic performance gains and cost-saving opportunities.
Virtualization Capabilities
- Virtualized compute workloads such as AI, Deep learning, and high-performance computing (HPC) With Nvidia Virtual Compute Server (vCS). The Nvidia A100 Pcie is an ideal upgrade path for existing V100/V100S Tensor Core GPU infrastructure.
Structural Sparsity: 2X Higher Performance for AI
- Modern AI networks are big, having millions and in some cases billions of parameters. Not all of these parameters are needed for accurate predictions, and some can be converted to zeros to make the models “sparse” without compromising accuracy. Tensor Cores in A100 can provide up to 2x higher performance for sparse models. While the sparsity feature more readily benefits AI inference, it can also improve the performance of model training.
Shipping & Return
Return Policy
You need to have a Return Authorization (RA) number before returning any products to HSSL Technologies.
For a hard copy of this form and a shipping label, please include your request in the form below.
You can also request an RA online by submitting an RA Request via email. Once you have provided HSSL Technologies with the appropriate information, we will contact you with an assigned RA number.
Defective or DOA Products
DOA or defective products are returned for REPLACEMENT ONLY with the same product/model. Deviations from this policy may result in a 20% Returns Processing Service Charge.
- Defective products must be in the original factory carton with all original packing materials.
- The Return Authorization number must be on the shipping label, not the carton. Please do not write on the carton.
- Returns must be shipped freight prepaid. Products received freight collect, without an RA number, or not approved for return will be refused.
- Return Authorization numbers are valid for fourteen (14) days only. Products returned after expiration will be refused.
- HSSL credits are based on the purchase price or current price, whichever is lower.
General Return Terms
You may return most new, unopened items within 30 days of delivery for a full refund. We will also pay return shipping costs if the return is a result of our error (e.g., you received an incorrect or defective item).
You should expect to receive your refund within approximately six weeks of giving your package to the return shipper. This period includes:
- 5–10 business days for us to receive your return from the shipper
- 3–5 business days for us to process your return
- 5–10 business days for your bank to process the refund
If you need to return an item, please Contact Us with your order number and product details. We will respond quickly with instructions for returning items from your order.
Shipping Policy
We can ship to virtually any address in the world. Note that there are restrictions on some products, and certain products cannot be shipped to international destinations.
When you place an order, we will estimate shipping and delivery dates based on the availability of your items and the shipping options you select. Depending on the provider, estimated shipping dates may appear on the shipping quotes page.
Please also note that shipping rates for many items are weight-based. The weight of each item can be found on its product detail page. To reflect the policies of the shipping companies we use, all weights will be rounded up to the next full pound.
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My product is missing parts.
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When will my backorder arrive?
Backordered items are those which our suppliers are unable to predict when they will have more in stock, but as soon as they do, we will be able to ship the item to you.
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