NVIDIA A100 80GB PCIe
GPUsFeatured

NVIDIA A100 80GB PCIe

5/5

$12,000 – $15,000

Enterprise-grade AI accelerator for large-scale training and inference. 80GB HBM2e memory runs the largest open-source models without quantization.

Affiliate links — We earn a commission on qualifying purchases at no cost to you.

Specifications

VRAM80GB HBM2e
Tensor Cores432 (3rd Gen)
Memory Bandwidth2,039 GB/s
TDP300W
InterfacePCIe 4.0 x16

Pros

  • Industry-leading AI performance
  • 80GB HBM2e for massive models
  • Multi-instance GPU (MIG) support

Cons

  • Very expensive upfront cost
  • Requires enterprise cooling
  • Overkill for small-scale operations

Related Articles

Comparison14 min read

RTX PRO 5000 72GB vs RTX 5090: Which GPU for Local AI in 2026?

The NVIDIA RTX PRO 5000 72GB is now available — 72GB GDDR7 in a single desktop card. But at $7,000 vs the RTX 5090's $2,000, which makes more sense for local LLMs, agentic AI, and image generation? We break down VRAM math, inference benchmarks, and the real decision tree.

Guide15 min read

NVIDIA RTX PRO 6000 96GB — Is It Worth It for Local AI in 2026?

The RTX PRO 6000 Blackwell packs 96GB GDDR7 ECC into a single desktop GPU at $4,599. We break down what models you can actually run, how it compares to the RTX 5090, RTX PRO 5000 72GB, A100 80GB, and Mac Studio M4 Max — and whether the price makes sense for local AI inference.

Guide19 min read

GLM-5.2 Local Hardware Guide (2026) — What It Actually Takes to Run the Best Open Coding Model at Home

Z.ai's GLM-5.2 is a 743B-parameter MoE (≈39B active) that tops the open-source coding leaderboards — and it's free to download. Here's the honest hardware answer: the 2-bit GGUF needs ~239GB of memory, which means a 256GB-class Mac Studio, a 4× RTX 3090 rig with 192GB RAM, or an 8×H200 server for FP8 — plus the off-ramp for everyone who can't hit 240GB.

Guide18 min read

Thinking Machines Inkling Local Hardware Guide (2026) — What It Takes to Run the 975B / 276B Open-Weight MoE

Thinking Machines Lab shipped Inkling on July 15, 2026 — its first open model, Apache 2.0, with weights on Hugging Face at launch. It comes in two sizes: the 975B-A41B flagship (datacenter/multi-GPU only) and Inkling-Small 276B-A12B, which fits a single 192GB Mac Studio at Q4. Here's the honest memory-math answer for every budget.

Disclosure: Some links on this page are affiliate links. We may earn a commission if you make a purchase — at no extra cost to you. This helps support our independent reviews.