GPU Platform Hub

Your companion for the entire GPU platform lifecycle.

One vendor-agnostic workspace for GPU, infrastructure, developer, and management teams — from choosing silicon to designing, deploying, operating, and reporting on it in production. Pick your role and the portal tailors your tools; the switcher up top changes it anytime.

Your workspaceGPU / Platform Engineer

Choose the silicon and design the cluster.

Compare accelerators on the metrics that matter, get a workload-based recommendation, and turn it into a costed cluster design — single-vendor or heterogeneous.

Design a cluster
Your toolkit
Common tasks
Featured acceleratorsView all →
NVIDIA

GB200 Grace Blackwell

Blackwell + Grace · Superchip (2× B200) · 2024

FP16

4.50 PFLOPS

Memory
384 GB
Bandwidth
16 TB/s
TDP
2700 W
LLM trainingLLM inferenceMultimodal
EstimatedDetails →
NVIDIA

B300 (Blackwell Ultra)

Blackwell · SXM · 2025

FP16

2.50 PFLOPS

Memory
288 GB
Bandwidth
8 TB/s
TDP
1400 W
LLM trainingLLM inferenceMultimodal
EstimatedDetails →
AMD

Instinct MI350X

CDNA 4 · OAM · 2025

FP16

2.30 PFLOPS

Memory
288 GB
Bandwidth
8 TB/s
TDP
1400 W
LLM trainingLLM inferenceMultimodal
Requires validationDetails →
NVIDIA

B200

Blackwell · SXM · 2024

FP16

2.25 PFLOPS

Memory
192 GB
Bandwidth
8 TB/s
TDP
1000 W
LLM trainingLLM inferenceMultimodal
EstimatedDetails →
NVIDIA

B100

Blackwell · SXM · 2024

FP16

1.75 PFLOPS

Memory
192 GB
Bandwidth
8 TB/s
TDP
700 W
LLM trainingLLM inferenceMultimodal
EstimatedDetails →
AMD

Instinct MI300X

CDNA 3 · OAM · 2023

FP16

1.31 PFLOPS

Memory
192 GB
Bandwidth
5.3 TB/s
TDP
750 W
LLM trainingLLM inferenceFine-tuning
Vendor documentedDetails →
Catalog at a glance
Accelerators

28

20 NVIDIA · 8 AMD

Max memory

384 GB

single GPU

Max bandwidth

16 TB/s

peak HBM

Architectures

10

families covered