atlas
dl Deep learning
2 Generation 2
q Qualcomm
.
24xlarge 96 vCPU · 768 GiB

$3,657/mo

3-yr reserved in Frankfurt

96 vCPU

Xeon Cascade Lake, 2.5 GHz

768 GiB

8 GiB per vCPU

EBS only

Local storage

100 Gbps

Network bandwidth

19 Gbps

EBS bandwidth

x86_64

Architecture

Every way to pay

Prices in Frankfurt. Bars are relative to on-demand.

PlanMonthlyYearlySaves

On-demand

Pay by the second, no commitment

$8,464$101,574

Reserved, 1 yr

No upfront, this size and region

$5,333$63,992−37%

Reserved, 3 yr

No upfront, this size and region

$3,657$43,880−57%

What will it cost me?

Enter how you plan to run it.

× dl2q.24xlarge, on-demand

/mo

a year

You run these most of the time. A 1-year reservation bills every hour, and would still cost /mo.

Same usage on each planMonthlyYearly
On-demand
Reserved 1 yr
Reserved 3 yr

Reservations bill every hour of the month, whether the instance runs or not.

Other sizes in this family

Price roughly doubles with each step. Pick a size to open it.

Price in every region

Cheapest in US West (Oregon). Moving from Frankfurt would save $10,126 a year per instance.

Not offered in N. Virginia , Ohio , N. California , Central , Calgary , Central , São Paulo , US-East , US-West , Ireland , London , Paris , Zurich , Stockholm , Milan , Spain , Mumbai , Hyderabad , Singapore , Sydney , Jakarta , Melbourne , Malaysia , New Zealand , Thailand , Tokyo , Seoul , Osaka , Hong Kong , Taipei , UAE , Bahrain , Tel Aviv , Cape Town .

Specifications

API name
dl2q.24xlarge
Processor
Intel Xeon Platinum 8259 (Cascade Lake)
Local storage
EBS only
Family
Machine Learning ASIC Instances
Clock speed
2.5 GHz
Network
100 Gbps
Generation
Gen 2
Architecture
x86_64
EBS bandwidth
19 Gbps
vCPUs
96
Memory
768 GiB
GPUs
8 · 128 GiB