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RiseML
@riseml
Deep Learning Platform for Kubernetes
Berlin / San Francisco
Joined February 2014
26
Following
439
Followers
84
Posts
RiseML
@riseml
about 5 years ago
“It really is that simple” How
@Cisco
made their infrastructure more inclusive https://t.co/2dRXMECiQu
RiseML
@riseml
over 7 years ago
Goodbye
@RiseML
- thanks to everybody who supported us along our journey! https://t.co/59ltVb1who
RiseML
@riseml
about 8 years ago
✨
@RiseML
booth at
#KubeCon
+
#CloudNativeCon
EU come talk to us about machine learning on
@kubernetesio
RiseML
@riseml
about 8 years ago
@tippy_top
It will depend on the size of the dataset you are using. We only tested it for scaling, not to convergence. @KellyJayDavis might be the best to ask
Who to follow
Deepak Pathak
@pathak2206
Co-Founder & CEO @SkildAI, Faculty @CarnegieMellon. PhD @UCBerkeley; BTech @IITKanpur I study topics in AI (robotics, machine learning & computer vision).
Indonesia Baik
@IndonesiaBaikId
📱 Konten informasi digital 📊 Fakta & data menarik setiap hari 👥 Gabung Komunitas SohIB di https://t.co/LNk0aUktJf
Sam Bowman
@sleepinyourhat
AI alignment + LLMs at Anthropic. On leave from NYU. Views not employers'. No relation to @s8mb. Into @givingwhatwecan.
RiseML
@riseml
about 8 years ago
Packed keynote on day 1 of
#KubeCon
+
#CloudNativeCon
EU in Copenhagen highlights the crazy growth of the
@kubernetesio
community
RiseML
@riseml
about 8 years ago
@roydanroy
@riseml
Correct. TPUs are only available through Google's cloud.
RiseML
@riseml
about 8 years ago
Google Cloud TPU as fast as 4x Nvidia V100 while being 57% cheaper on ResNet-50. Read our new benchmark article. https://t.co/bAMoSVfIVx
RiseML
@riseml
about 8 years ago
@psteinb_
@elibendersky
we used tf 1.7.0 for both to make a consistent comparison
RiseML
@riseml
about 8 years ago
@psteinb_
@elibendersky
our benchmarking code was taken from https://t.co/TPO56td3TY for the TPUs and https://t.co/KpIM6OwZQg for the GPUs
RiseML
@riseml
about 8 years ago
@NoPtrException
@bsaeta
Totally correct, both the TPU and GPUs were doing FP16 in our benchmark
RiseML
@riseml
about 8 years ago
@honasu
Happy to help :)
RiseML
@riseml
about 8 years ago
@timperrett
We published an follow-up article with a more thorough analysis. https://t.co/bAMoSVfIVx
RiseML
@riseml
about 8 years ago
@michaelgofman
@fdasilva59fr
@NvidiaAI
We may have interesting results with ResNet-50 on GPUs in the future. Stay tuned!
RiseML
@riseml
about 8 years ago
@ABI_LianJye
@kubernetesio
Always happy to talk! Email has been sent to you
RiseML
@riseml
about 8 years ago
@ABI_LianJye Yes!
@kubernetesio
is the way to go for
#AI
#MachineLearning
and
#DeepLearning
RiseML
@riseml
about 8 years ago
.
@riseml
adds support for Google Cloud TPUs https://t.co/FdEv22uQx3 @GCPcloud
#MachineLearning
#DeepLearning
RiseML
@riseml
about 8 years ago
✨ We just released RiseML v1.2.2 - private registry support on GKE and enhanced scheduling capabilities. https://t.co/if0KQnd15A
RiseML
@riseml
about 8 years ago
@riseml
is a proud sponsor of
#KubeCon
+
#CloudNativeCon
EU in Copenhagen from May 2-4 — join us! https://t.co/eW3Rp9a4bs
RiseML
@riseml
about 8 years ago
Come by booth 1122
@nvidia
#GTC18
to learn about using
@kubernetesio
for
#MachineLearning
RiseML
@riseml
about 8 years ago
✨ Introducing RiseML 1.2.0 with data management and installing RiseML on only part of a cluster https://t.co/FzBMO4JQPm
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