Nvidia GeForce NOW SA launch

I think there are a lot more changes.

The links on Geforce now are redirecting to : https://www.rain.co.za/nvidia/manage

and it asks me to login. Yesterday they were not going to that url but some other. And I saw this link come up as well:


so I think they prepping hopefully for public.
 
So yeah update again. The GeForce Now options are back up on the Rain website. I also received an in-website notification to join.
The notification says the beta will be for up to 4 weeks. After that maybe they give it to everyone or the beta fails and we all lose it.
 
So yeah update again. The GeForce Now options are back up on the Rain website. I also received an in-website notification to join.
The notification says the beta will be for up to 4 weeks. After that maybe they give it to everyone or the beta fails and we all lose it.
I don't think they will abandon a server like that, lets just hope the beta succeeds. And again thanks for all the updates, it stops us from wondering 24/7.
 
Am I correct in assuming rain customers with a active subscription are at the top of the list on getting these invites before everyone else
 
Am I correct in assuming rain customers with a active subscription are at the top of the list on getting these invites before everyone else
No, im a rain customer and ive been since they came out and i didnt recieve any emails.
 
Yeah my friends on Rain who signed up for the beta on day one also haven’t received invites.
 
The whole test feels so limited, first they were internal testing 5 months, now there is a closed beta with a “first come first serve” basis like they should ask that for everyone that signed up and cap it at a specific number so that they know how much interest there is even after they killed the hype themselves.
 
I've been selected...got notification on app to join
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Must say, played a little Cyberpunk and with graphics set to high feels like the hardware is right in my living room, no input lag. Very decent @ R1 p/m. Will try some Game Pass titles eg. Starfield over the weekend and report back.

Just some extra info..I showed interest with two email addresses. Only one got selected. And when I accessed the link and tried to login with the other account it would not allow me to subscribe. Subscribed with the one selected no problem.

This is the notification received:
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I'm starting to think that they are giving Rain customers a first go.

Maybe non-Rain customers will be the next wave to see how it performs off net.
 
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Yeah, looks like it. Although, it did say R1 for rain customers and R3 for non rain customers on the join now page
Congrats on getting in, even though it does say “non rain customers” it does make me feel rain customers have been prioritized in this as we dont know anyone yet who has been email without a sub to rain one or what not. :/
 
I'm pretty sure I expressed interest while back but can't find any email or anything where it was confirmed. Also dropped a support request, never hurts to ask.

Let's see, keen to give this a go.

Same. I'm keen to actually subscriber to ultimate. It's $20 in the US so I doubt the ultimate tier in SA will be more than R300-R350.
 
Been with them since they came out and I'm still on their legacy 4g package, but alas, no invite.
Who do i have to shake hand withs so i can get an email or something? lol
 
Same. I'm keen to actually subscriber to ultimate. It's $20 in the US so I doubt the ultimate tier in SA will be more than R300-R350.
Well, my rough guess on how this all works, using Azure Databricks for comparison.

For those who don't know Databricks ( with whomeever ) is a big data processing platform that you "rent" computational power in hour type increments but can scale very large clusters to process big jobs. One of my jobs for example uses between 8 to 16 "workers" of which each is a xeon 8 core with about 8Gb which it streams together and processes my data the way I like.

My point is, there is a computation tier that is GPU based which I assume is a similar foundation to what the Geforce Now process would use, makes sense. Some rough ideas of what the "bare metal" consists of. These are for the larger cloud datacenters but I assume Rain and Hetzner(?) would be buying similar kit and licensing with Geforce Now. Keen to hear what kit they use @Jan

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GPU​

Specialized virtual machines targeted for heavy graphic rendering and video editing available with single or multiple GPUs.

NC-series​

N-series virtual machines are ideal for compute and graphics-intensive workloads, helping customers to fuel innovation through scenarios like high-end remote visualization, deep learning, and predictive analytics. NC-series virtual machines feature the NVIDIA Tesla accelerated platform and these virtual machines do not support the NVIDIA RTX Enterprise technology for graphics and visualization applications. In addition, N-series offers a NC24r configuration that provides a low latency, high-throughput network interface optimized for tightly coupled parallel computing workloads.
InstancevCPU(s)RAMTemporary
storage
GPUPay as you go1 year savings plan3 year savings planSpotAdd to
estimate
NC6656 GiB340 GiB1X K80$851.1800/month$601.3594/month
~29% savings
$443.5480/month
~47% savings
$89.4593/month
~89% savings
NC1212112 GiB680 GiB2X K80$1,703.0900/month$1,203.2298/month
~29% savings
$887.4829/month
~47% savings
$178.9945/month
~89% savings
NC24r24224 GiB1,440 GiB4X K80$3,746.3600/month$2,646.8048/month
~29% savings
$1,952.2317/month
~47% savings
$393.7423/month
~89% savings
NC2424224 GiB1,440 GiB4X K80$3,406.1800/month$2,406.4669/month
~29% savings
$1,774.9585/month
~47% savings
$357.9898/month
~89% savings
Reserved Virtual Machine Instances are currently not available for the NC-series.
The Azure NC-series Virtual Machine sizes will be retired on 31 August 2023. Refer to our migration guide for help on next steps.

NCsv2-series​

NCsv2 series virtual machines is a new addition to the GPU product family offering the next generation of our popular NC-series machines, powered by NVIDIA Tesla P100 GPUs. Customers can take advantage of these updated GPUs for traditional HPC workloads that will benefit from a performance boost, powering scenarios like reservoir modeling, DNA sequencing, protein analysis, Monte Carlo simulations, and others. These new GPUs can provide more than 2 times the computational performance of the current NC-series. And like our NC series, we offer a configuration with InfiniBand networking for workloads that require fast interconnect, like Oil and Gas, Automotive, and Genomics to also accelerate scaleout capability as well as improved single instance performance. In addition, N-series offers an NC24r configuration that provides a low latency, high-throughput network interface optimized for tightly coupled parallel computing workloads.

InstancevCPU(s)RAMTemporary
storage
GPUPay as you go1 year savings plan3 year savings planSpotAdd to
estimate
NC6s v26112 GiB736 GiB1X P100$1,957.8600/month$1,629.7250/month
~16% savings
$1,207.8069/month
~38% savings
$195.7860/month
~90% savings
NC12s v212224 GiB1,474 GiB2X P100$3,915.7200/month$3,259.4427/month
~16% savings
$2,415.6065/month
~38% savings
$391.5720/month
~90% savings
NC24rs v224448 GiB2,948 GiB4X P100$8,616.9200/month$7,172.7245/month
~16% savings
$5,315.7797/month
~38% savings
$861.6920/month
~89% savings
NC24s v224448 GiB2,948 GiB4X P100$7,831.4400/month$6,518.8927/month
~16% savings
$4,831.2130/month
~38% savings
$783.1440/month
~90% savings
Reserved Virtual Machine Instances are currently not available for the NCsv2-series.
The Azure NC v2-series Virtual Machine sizes will be retired on 31 August 2023. Refer to our migration guide for help on next steps.

NCsv3-series​

NCsv3 series virtual machines is a new addition to the GPU product family offering the next generation of our popular NC-series machines, powered by NVIDIA Tesla V100 GPUs. Customers can take advantage of these updated GPUs for traditional HPC workloads that will benefit from a performance boost, powering scenarios like reservoir modeling, DNA sequencing, protein analysis, Monte Carlo simulations, and others. These new GPUs can provide 1.5 times the computational performance of the current NCsv2-series. And like our other NC series, we offer a configuration, NC24rs v3, with InfiniBand networking for workloads that require fast interconnect, like Oil and Gas, Automotive, and Genomics to also accelerate scale out capability as well as improved single instance performance.
InstancevCPU(s)RAMTemporary
storage
GPUPay as you go1 year savings plan3 year savings planSpotAdd to
estimate
NC6s v36112 GiB736 GiB1X V100$2,790.7900/month$2,045.6498/month
~26% savings
$1,484.9806/month
~46% savings
$768.0257/month
~72% savings
NC12s v312224 GiB1,474 GiB2X V100$5,581.5800/month$4,091.2996/month
~26% savings
$2,969.9612/month
~46% savings
$1,536.0507/month
~72% savings
NC24rs v324448 GiB2,948 GiB4X V100$12,279.3300/month$9,000.7467/month
~26% savings
$6,533.8285/month
~46% savings
$3,379.2715/month
~72% savings
NC24s v324448 GiB2,948 GiB4X V100$11,163.1600/month$8,182.5992/month
~26% savings
$5,939.9151/month
~46% savings
$3,072.1013/month
~72% savings

NCas_T4_v3 Series​

NCas_T4_v3 series virtual machine is a new addition to the Azure GPU family specifically designed for the AI and machine learning workloads. The VMs feature 4 NVIDIA T4 GPUs with 16 GB of memory each, up to 64 non-multithreaded AMD EPYC 7V12(Rome) processor cores, and 448 GiB of system memory. These virtual machines are ideal to run ML and AI workloads utilizing Cuda, TensorFlow, Pytorch, Caffe, and other Frameworks or the graphics workloads using NVIDIA RTX Enterprise technology.
InstancevCPU(s)RAMTemporary
storage
GPUPay as you go1 year savings plan3 year savings planSpotAdd to
estimate
NC4as T4 v3428 GiB180 GiB1X T4$480.3400/month$351.8016/month
~26% savings
$254.1495/month
~47% savings
$100.7750/month
~79% savings
NC8as T4 v3856 GiB360 GiB1X T4$686.2000/month$502.5758/month
~26% savings
$363.0655/month
~47% savings
$143.9648/month
~79% savings
NC16as T4 v316110 GiB360 GiB1X T4$1,098.6500/month$804.6498/month
~26% savings
$581.2990/month
~47% savings
$230.4968/month
~79% savings
NC64as T4 v364440 GiB2,880 GiB4X T4$3,971.2000/month$2,908.5098/month
~26% savings
$2,101.1590/month
~47% savings
$833.1578/month
~79% savings

 

NC A100 v4 series​

NC A100 v4 Azure Virtual Machines, powered by NVIDIA Ampere A100 80GB PCIe GPUs and AMD EPYC Milan processors, are optimized for delivery leadership-class performance and cost efficient for a variety of real-word Applied AI workload.

InstanceCore(s)RAMTemporary
storage
GPUPay as you go1 year savings plan3 year savings planSpotAdd to
estimate
NC24ads A100 v424220 GiB958 GiB1X A100$3,485.7500/month$2,901.5383/month
~16% savings
$2,150.3610/month
~38% savings
$1,262.1904/month
~63% savings
NC48ads A100 v448440 GiB1,916 GiB2X A100$6,971.5000/month$5,803.0766/month
~16% savings
$4,300.7220/month
~38% savings
$2,524.3802/month
~63% savings
NC96ads A100 v496880 GiB3,832 GiB4X A100$13,943.0000/month$11,606.1532/month
~16% savings
$8,601.4367/month
~38% savings
$5,048.7603/month
~63% savings

NCads A10 v4 series​

The NCads A10 v4 series is based on the Nvidia A10 GPU and specifically designed for AI inferencing and GPU compute workloads. Azure is introducing GPU partitioned VM sizes to provide flexible VM choices starting with 1/2 A10 and scale up to a full A10 or 2*A10 GPUs.
InstancevCPU(s)RAMTemporary
storage
GPUPay as you go1 year savings plan3 year savings planSpotAdd to
estimate
NC8ads A10 v48110 GiB730 GiB1/2X A10$1,043.9000/month$868.9409/month
~16% savings
$643.9841/month
~38% savings
$417.5600/month
~60% savings
NC16ads A10 v416220 GiB1,460 GiB1X A10$2,087.8000/month$1,737.8818/month
~16% savings
$1,287.9609/month
~38% savings
$835.1200/month
~60% savings
NC32ads A10 v432440 GiB2,920 GiB2X A10$4,175.6000/month$3,475.7709/month
~16% savings
$2,575.9291/month
~38% savings
$1,670.2400/month
~60% savings

NGads V620 series​

The NGads V620 series GPU-enabled virtual machines are optimized for game streaming and enable service providers to build differentiated cloud gaming experiences. Powered by AMD RadeonTM PRO V620 GPUs and AMD EPYC 7763 (‘Milan’) CPUs, the NGads V620 VMs also support graphics-accelerated VDI and visualization rendering. The series features GPU partitioning to enable VM sizes with a full 32GB AMD V620 GPU, ½ GPU, or ¼ GPU.
InstancevCPU(s)RAMTemporary
storage
GPUPay as you go1 year savings plan3 year savings planSpotAdd to
estimate
NG8ads V620 v1816 GiB256 GiB1/4$1,039.5200/month– –– –$415.8080/month
~60% savings
NG16ads V620 v11632 GiB512 GiB1/2$2,078.3100/month– –– –$831.3240/month
~60% savings
NG32ads V620 v13264 GiB1,024 GiB1$4,156.6200/month– –– –$1,662.6480/month
~60% savings
NG32adms V620 v132176 GiB1,024 GiB1$5,403.4600/month– –– –$2,161.3840/month
~60% savings
Reserved Virtual Machine Instances are currently not available for the NGads V620 series.

NP-Series​

NPv1 series virtual machines are a new addition to the Azure product offering. These instances are powered by Xilinx Alveo U250 FPGAS. These highly-programmable accelerators benefit a variety of computationally intensive workloads such as genomics, image-processing, security, data analysis and more. The NP series offering is based upon the commercially available U250 from Xilinx and uses a standard shell easing the difficulties of migrating existing FPGA workloads & solutions to the cloud.
InstancevCPU(s)RAMTemporary
storage
GPUFPGAPay as you go1 year savings plan3 year savings planSpotAdd to
estimate
NP10s10168 GiB700 GiBN/A1x Xilinx U250$1,565.8500/month$1,129.4487/month
~27% savings
$820.9726/month
~47% savings
$156.5850/month
~90% savings
NP20s20336 GiB1,400 GiBN/A2x Xilinx U250$3,131.7000/month$2,258.8974/month
~27% savings
$1,641.9525/month
~47% savings
$313.1700/month
~90% savings
NP40s40672 GiB2,800 GiBN/A4x Xilinx U250$6,263.4000/month$4,517.7875/month
~27% savings
$3,283.8977/month
~47% savings
$626.3400/month
~90% savings
 
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