Is Microsoft Azure's T4 good for Scientific Computing?

AIMC's fit-scoring methodology rates the T4 as good fit for Scientific Computing (score 60/100). Reference pricing at Microsoft Azure: $0.92/hr. AIMC has no commercial relationship with Microsoft Azure.

What does Scientific Computing on Microsoft Azure's T4 cost?

At the median reference price of $0.92/hr: 1 day costs $22.08, 1 week costs $154.56, 1 month costs $662.40 per GPU. Pricing sourced from publicly listed catalogs.

Hyperscaler Reference/Azure/T4/for Scientific Computing

Datacenter GPUs · Workload Fit · Reference Pricing

Azure T4
for Scientific Computing

Fit analysis and reference pricing for the T4 at Microsoft Azure, evaluated for Scientific Computing.

Workload Fit

60/100

Good Fit

Reference Price

$0.92/hr

4 publicly listed offers

Why This Fit?

AIMC's fit-scoring methodology evaluates the T4's suitability for Scientific Computing based on published specifications.

·Datacenter class is well-suited for Scientific Computing
·16 GB VRAM meets the floor but limits batch size and model scaling
·Compute benchmarks pending — fit is estimated from VRAM and GPU class

Estimated Cost for Scientific Computing

Per-GPU cost at the median reference price ($0.92/hr). Actual costs may vary based on region, commitment terms, and additional services not reflected in baseline pricing.

1 hour

$0.92

per GPU

1 day (24h)

$22.08

per GPU

1 week (168h)

$154.56

per GPU

1 month (720h)

$662.40

per GPU

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Legal Notice — Independent Market Intelligence

AIMC has no commercial relationship or data-sharing agreement with Microsoft Azure. Pricing data is sourced from publicly listed catalogs. "Microsoft Azure", "Azure", and related marks are trademarks of their respective owners. Fit-scoring is AIMC's independent analysis based on published GPU specifications.

Hyperscaler Reference/Azure/T4/for Scientific Computing

Datacenter GPUs · Workload Fit · Reference Pricing

Azure T4
for Scientific Computing

Fit analysis and reference pricing for the T4 at Microsoft Azure, evaluated for Scientific Computing.

Workload Fit

60/100

Good Fit

Reference Price

$0.92/hr

4 publicly listed offers

Why This Fit?

AIMC's fit-scoring methodology evaluates the T4's suitability for Scientific Computing based on published specifications.

·Datacenter class is well-suited for Scientific Computing
·16 GB VRAM meets the floor but limits batch size and model scaling
·Compute benchmarks pending — fit is estimated from VRAM and GPU class

Estimated Cost for Scientific Computing

Per-GPU cost at the median reference price ($0.92/hr). Actual costs may vary based on region, commitment terms, and additional services not reflected in baseline pricing.

1 hour

$0.92

per GPU

1 day (24h)

$22.08

per GPU

1 week (168h)

$154.56

per GPU

1 month (720h)

$662.40

per GPU