Step-by-step guide to access, pricing models, and cost optimization
Sign up (5-10 min). Enable GPU instances (verification needed).
NVIDIA V100/T4/A100 or AMD MI300X. See GPU comparison.
Full control. Rent raw GPUs.
Example: Train AI model on 8x A100 GPUs.
No GPU management. Focus on code.
Example: Deploy AutoML pipelines without DevOps.
Ready-to-use AI apps. No infra knowledge needed.
Example: Detect objects in images via API call.
GPU Model | FLOPS (TFLOPS) | Memory (GB) | Amazon | Azure | Google Cloud |
---|---|---|---|---|---|
NVIDIA V100 | 14 TFLOPS | 16 GB HBM2 | P3 (8xV100) | NCv2 | N/A |
NVIDIA T4 | 8.1 TFLOPS | 16 GB GDDR6 | G4dn | (T4) | N1 (T4) |
NVIDIA A100 | 312 TFLOPS | 40 GB HBM2e | P4 (8xA100) | NC A100 v4 | A3 (8xA100) |
AMD MI300X | 163 TFLOPS | 128 GB HBM3 | Coming Soon | ND MI300 v5 | N/A |
Google TPU v3 | 420 TFLOPS | 32 GB HBM | N/A | N/A | TPU v3 Pods |
Source: NVIDIA, Google Cloud TPU
Pay per hour. No commitment.
Commit upfront. Up to 60% off.
Unused capacity. Up to 90% off.
Unlock the full power of accelerated computing and take your AI projects to the next level. Our experts can help you design, optimize, and scale your infrastructure.
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