Product Spotlight – NVIDIA A100 PCIe 80GB GPU

The NVIDIA A100 PCIe 80GB GPU is engineered for enterprise AI, machine learning, and HPC workloads that demand high memory capacity and parallel performance. With 80GB of high-bandwidth memory, support for Multi-Instance GPU (MIG) partitioning, and PCIe 4.0 connectivity, the A100 accelerates training, inference, and analytics at scale, enabling IT teams to support more users and larger models without bottlenecks.

In this spotlight, we break down the A100’s key features, where it fits in modern infrastructure, and how its strong resale value makes it a smart investment for lifecycle planning.

Why the NVIDIA A100 Matters Today

AI, machine learning, and HPC drive critical business workloads like forecasting, detection, and automation. According to Weka’s 2024 report, 80% of IT leaders expect data volumes to grow every year.

The HPC and AI infrastructure market reflects this trend. It reached $60 billion in 2024, growing 23.5% year over year. Analysts at Hyperion Research project it will surpass $100 billion by 2028.

This rapid growth challenges IT teams to deliver optimized, scalable infrastructure for AI data centers. Systems must handle larger models, move data faster, and support multiple users without performance drops.

The A100 Solves Performance & Scalability Bottlenecks

IT teams need hardware that supports multi-user demand, processes large models smoothly, and keeps iteration cycles short. The A100 addresses these needs with:

• Large memory capacity for full-model training
• Multi-instance partitioning for simultaneous workloads
• Compatibility with standard enterprise tools and racks

These capabilities help IT leaders meet workload demands, control costs, and support more users on existing infrastructure.

High Resale Value of A100 Supports Smart Infrastructure Planning

The A100 holds strong resale value, enabling cost-efficient refresh cycles and more predictable infrastructure planning.

Recent listings on public resale platforms show:

• Single A100 40GB modules priced as low as $2,400
• Multi-GPU assemblies with A100s listed above $200,000

This strong resale demand supports predictable lifecycle planning. You can budget with confidence, refresh on schedule, and recover value from existing hardware.

These capabilities make the A100 a smart investment for IT leaders managing AI data centers and HPC infrastructure.

Inside the A100: Key Specs That Drive AI and HPC Performance

As one of the most advanced HPC GPUs for enterprise IT, the NVIDIA  A100 PCIe 80GB delivers targeted capabilities for large-scale AI and compute workloads. 

Let’s take a look at its features in detail: 

High Memory Bandwidth

The A100 PCIe 80 GB uses HBM2e memory with up to 2 TB/s throughput. This supports full model loads into memory and direct on-GPU data processing. It reduces delays from repeated I/O operations and keeps workflows on pace.

Runpod highlights this advantage, noting the A100’s “memory bandwidth is the highest of any GPU at its release.” This enables teams to train large neural networks and run intensive HPC tasks without splitting workloads across cards.

MIG Support

The A100 supports NVIDIA MIG, enabling one GPU to run up to seven isolated workloads simultaneously. Each instance has dedicated memory and compute resources, allowing multiple teams to share a single card without interference.

By isolating workloads, MIG improves resource utilization, supports multi-user environments, and reduces the need to overprovision hardware. It enables teams to scale AI projects independently while maintaining a simple, consolidated infrastructure.

Jason Janofsky, VP of Engineering and CTO at Betterview, shared:

“The multi-instance GPU architecture with A100s evolves working with GPUs in Kubernetes/GKE. Alongside reduced configuration complexity, NVIDIA’s sheer GPU inference performance with the A100 is blazing fast.”

This reflects how MIG helps organizations deploy more AI workloads with less configuration overhead and fewer infrastructure constraints.

A100 with PCIe 4.0 and NVLink Supports Scalable Multi-GPU Performance

The A100 uses PCIe Gen 4.0, delivering up to 64 GB/s of interconnect speed. It also supports NVLink, which enables direct GPU-to-GPU bandwidth up to 600 GB/s.

This combination supports systems that require fast communication between GPUs. You can scale across multiple cards without relying on the CPU or main system memory.

A100 Delivers Significant AI and HPC Performance Gains

The A100 delivers up to 20× more performance than previous-generation GPUs and up to 3× more throughput than the 40 GB model. It supports 312 TFLOPS of mixed-precision compute and runs TF32, FP16, and sparsity workloads natively.

These capabilities shorten training cycles, reduce latency, and accelerate iteration. Leading enterprises are already using A100 systems to scale real-time workloads and accelerate AI delivery:

• VNPT, Vietnam’s telecom provider, used DGX A100 systems to power real-time video analytics across thousands of traffic cameras. The deployment processed hundreds of thousands of inference requests at scale.
• LILT, a translation company, used A100s with NVIDIA NeMo to deliver more than 150,000 words per minute for law enforcement use cases.

These examples show how A100 performance enables faster outcomes, broader AI deployment, and greater control over infrastructure resources.

Lifecycle Value of the A100 and Why It’s a Smart Investment

The A100 supports predictable planning through a clear, staged lifecycle. It’s built for long-term enterprise use, with a hardware lifespan of five to seven years under proper conditions.

Although NVIDIA announced its end-of-life in January 2024, the A100 remains widely available through cloud providers and secondary markets. This continued availability supports structured refresh strategies that help maintain performance, control costs, and maximize hardware value.

Its consistent performance and strong resale demand make the A100 a practical fit for phased infrastructure planning.

When you’re planning for an IT upgrade, Inteleca can help you recover value from your A100s through HPC lifecycle services. We also provide IT asset disposition (ITAD) services to keep your HPC lifecycle efficient, cost-effective, and compliant.

How Inteleca Helps You Get and Manage A100 GPUs

Inteleca helps you source certified, pre-owned NVIDIA A100 80GB PCIe GPUs through the secondary market — giving your team enterprise-grade performance at a fraction of the cost.

When you’re ready to upgrade, we also handle secure resale and disposition, so you can recover value from your legacy hardware.

Ready to scale your AI and HPC workloads? Explore the NVIDIA A100 GPUs and other high-performance solutions.