Compute Average Price Per Core | AWS | Azure | GCP | Tencent |
---|---|---|---|---|
AMD EPYC v4 ("Genoa") | $0.07 | $0.18 | $0.05 | $0.03 |
AMD EPYC v4 ("Bergamo") | $0.05 | |||
AWS Graviton3 | $0.05 | |||
Intel Xeon v4 ("Sapphire Rapids") | $0.06 | $0.08 | $0.05 | |
Intel Xeon v4 ("Emerald Rapids") | $0.05 | $0.05 |
Azure
Accelerator Count | Aliyun | AWS | Azure | CoreWeave |
---|---|---|---|---|
AMD Instinct MI300X | 14 | |||
AWS Inferentia 2 | 176 | |||
NVIDIA Ampere A100 | 354 | 45 | 288 | 23 |
NVIDIA Ampere H100 | 25 | 197 | 16 | |
Qualcomm Cloud | 7 |
Azure
Liftr Insights, tracking over 75% of the public cloud in detail, has been
a trusted source of cloud data for over half a decade.
Included in the report:
- Snapshot of data for 9 cloud providers
- Latest compute & accelerated instances
- Top workloads (AI, Gaming, Databases, Data Mining)
- Volumes and quarterly growth by provider by instance type
- On-demand prices by provider by instance type
- 75% coverage across the globe
At Liftr Insights, we know integration consultants want to earn future cloud infrastructure projects. In order to impress their clients, they need reliable data to power their pricing and availability analyses and recommendations.
The problem is that obtaining and checking the data for accuracy and completeness across the cloud providers is a time-consuming process with potential for incorrect data, which is frustrating under short deadlines and limited budgets.
We believe that consultants should be able to focus on what they do best: analyses and recommendations instead of the data collection.
We understand that finding, cleaning, and standardizing the underlying data across providers is a difficult process, particularly since the sources change and standardizing the data takes extra expertise most firms may not have. That’s why we leveraged our subject matters experience with cloud providers and five+ years tracking exactly this type of data to create provide regular reliable reports for consultants.
Here’s how it works:
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