GOOGLE QUANTUM A1 COMPUTERS

                 GOOGLE UPCOMIMG COMPUTERS


Google is a most Populer multinational company. google was founded on September 04,1998,by Larry Page and Sergey Brin while they were Ph.D students at Stanford university in California. 


it's very Usefull for people all over the world. Google I/O 2021 :-google aims to build a new commercial quantum computer by 2029.


According to blog post, Google aims to offer its quantum-computing service over the cloud.


Google may finally complete building an "error-corrected quantum computer" by the end of this a decade or by 2029. It also Unvieled its quantum A1 campus that will aim for a large-scale business, error-free Scintific calculation and employment of hundreds of people.


As per a blog post, the Pampus, expansion of its experimental lab space, includes a quantum-data centre,research labs and the companies home - quantum processor chip Manufacturing facilities.

"To continue this journey towards the Usefull error-corrected quantum computer and provide humanity a new tool turned to the a nature works, we're assembling an amazing to invent the future of computing together right here, right now at Google's quantum A1 Campus", the blogs read.

 

KEY FEATURES:


Choosing the right virtual machine type:-

scale-out workloads(T 2 D):- T 2 D offers the best price-performance compared to general-purpose VMs from any of the leading public cloud vendors.It is the first instance type in the Tau VM family and  comes in predefined shapes, with up to 60vCPUs per VM and 4 GB of memory per vCPU. T2D is ideal for scale out workloads like web services, containerized Microservices,media Transcoding and large scale JAVA applications.


General purpose workloads(E 2, N 2, N 2 D, N 1):-

E 2, N 2, N 2 D, and N 1 are General-Purpose Machines offering Good balance of price and performance, and are suitable for a wide variety of common workloads including databases, development and testing environments, web support up to 224 VCPUs and 896 GB of Memory.

Ultra-high memory(M 2,M 1)"-

Memory-Optimized machines offer the highest memory Congurations with up to 12 TB for a single instance. They are well suited to memory-intensive workloads such as large in-memory databases like SAP HANA, and in-memory data analytics workloads.




Compute-Intensive workloads(C 2):-

Compute-Optimized machines provide the highest Performance per core on Compute Engine and are optimized for workloads such as high Performance computing(HPC). Game servers and latency-Senstive API serving.


Most Demanding applications and workloads(A 2):-

Accelerator-optimized machines are based on the NVIDIA A100 Tensor Core GPU. Each A100 GPU offers up to 20x the compute Performance compared to the previous generation GPU. These VMs are Desinged for your most demanding workloads such as machine learning and high Performance computing.

  

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