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Compare Enterprise Chips

Search and compare NVIDIA, AMD, and Intel server chips side-by-side - pick up to 8 chips at a time and the smart table auto-highlights the best value in every row

Step 1

Pick chips

Brand
101 chips - showing 24 of 101
Step 2

Comparing 3/8 chips

NVIDIA B200 Tensor Core GPUNVIDIA H200 Tensor Core GPUNVIDIA H100 Tensor Core GPU
Specification
NVIDIA B200 Tensor Core GPU — Data Center GPUs
Pre-Order

NVIDIA B200 Tensor Core GPU

Blackwell

NVIDIA H200 Tensor Core GPU — Data Center GPUs
In Stock

NVIDIA H200 Tensor Core GPU

Hopper

NVIDIA H100 Tensor Core GPU — Data Center GPUs
In Stock

NVIDIA H100 Tensor Core GPU

Hopper

Memory
Memory
384GB HBM3e
141GB HBM3e
80GB HBM3
Memory Bandwidth
10 TB/s
4.8 TB/s
3.35 TB/s
Compute
Tensor Corestie
-
528
528
CUDA Corestie
-
18432
18432
FP8 TFLOPS
4500
1979
1979
FP16 TFLOPS
2250
989
989
TF32 TFLOPS
1125
494.5
494.5
FP64 TFLOPStie
-
60
60
Connectivity
Interconnect
NVLink 5.0, 1.8TB/s
NVLink 4.0, 900GB/s
NVLink 4.0, 900GB/s
Physical
TDP
1000W
700W
700W
Form Factor
SXM6
SXM5
SXM5
Cooling
Liquid Cooled
Liquid Cooled
Liquid Cooled
Launch Date
H2 2024
Q2 2024
Q1 2024
Manufacturing Process
4nm
4nm
4nm

Category Leaders

Memory
NVIDIA B200 Tensor Core GPU
Leads on Memory Bandwidth
Compute
NVIDIA B200 Tensor Core GPU
Leads on FP8 TFLOPS
Step 3

Visual Comparison

Memorybest 384Bandwidthbest 10FP8best 4,500FP16best 2,250TF32best 1,125CUDA Coresbest 18,432higher = better

Each corner is a spec — the bigger the shape, the more powerful the chip. A shape hugging the center means no data for that spec. Hover a chip to focus its outline.

What this tells you

  • Wider shape = strong across more specs — a balanced pick.
  • Long spike in one direction = specialized for that workload.
  • Trophy in bars view = the best value for that specific metric.

Tip: pair this with the table below to see exact numbers — the visuals show relative strength, the table shows the raw specs.

Chip Configurator

Not sure which chip fits your workload?

Answer 3 quick questions and our AI-powered configurator will recommend the optimal NVIDIA, AMD or Intel chip for your AI training, inference, HPC or professional workload.

Try the Configurator
  • Workload-matched picks
  • Budget & performance aware
  • Backed by certified engineers
How it works
  1. 1Pick your workload
  2. 2Set budget & performance
  3. 3Get matched chips + quote