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--- cluster:184 [2019/09/27 12:45]
hmeij07 [AWS deploys T4]
+++ cluster:184 [2019/10/04 17:20]
hmeij07 [2019 GPU Expansion]
@@ Line 6: / Line 6: @@
   * https://www.hpcwire.com/2019/09/20/aws-makes-t4-gpu-instances-broadly-available-for-inferencing-graphics/
-Look at this, the smallest Elastic Cloud Compute Instances are **g4dn.xlarge** yielding access to 4 vCPUs and 1x T4 GPU. The largest is **g4dn.16xlarge** yielding access to 64 vCPUs and 1x T4 GPUs. Now the smallest is priced at $0.526/hr, and running that card 24/7 for a year is a cost of $4,607.76 ... meaning ... option #7 below with 26 GPUs would cost you a whopping $119,802. Annually! That's the low tide water mark.
+Look at this, the smallest Elastic Cloud Compute Instances are **g4dn.xlarge** yielding access to 4 vCPUs, 16GiB memory and 1x T4 GPU. The largest is **g4dn.16xlarge** yielding access to 64 vCPUs 256 GiB memory and 1x T4 GPUs. Now the smallest is priced at $0.526/hr, and running that card 24/7 for a year is a cost of $4,607.76 ... meaning ... option #7 below with 26 GPUs would cost you a whopping $119,802. Annually! That's the low tide water mark.
 The high tide water mark? The largest instance is priced at $4.352 and would cost you near one million dollars to run per year if you matched option #7.
@@ Line 46: / Line 46: @@
 |  Gpus  |  48  |  16  |  36  |  28  |  20  |  34  |  26  |  16  |  28  |  60  | total|
 |  Cores  |  209  |  74  |  157  |  72  |  92  |  75  |  67  |  74  |  72  |  138  | cuda K|
-|  Cores  |  26  |  9  |  20  |  16  |  11.5  |  10  |  8  |  9  |  9  |  17  | tensor K|
+|  Cores  |  26  |  9  |  20  |  8.9  |  11.5  |  10  |  8  |  9  |  9  |  17  | tensor K|
 |  Tflops  |  21  |  13  |  16  |  7  |  10  |  7.5  |  6.5  |  13  |  7  |  13  | gpu dpfp|
 |  Tflops  |  682  |  261  |  511  |  227  |  326  |  241  |  211  |  261  |  227  |  426  | gpu spfp|

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