Google pushes JAX for TPUs though they’re working hard on TorchTPU (probably because of Anthropic I think)
April 6, 2026 at 10:44 PM
Google pushes JAX for TPUs though they’re working hard on TorchTPU (probably because of Anthropic I think)
PyTorch ❤️ TPU
With TorchTPU you can run PyTorch Natively on TPUs 👇
developers.googleblog.com/torchtpu-run...
#Google #GoogleCloud
With TorchTPU you can run PyTorch Natively on TPUs 👇
developers.googleblog.com/torchtpu-run...
#Google #GoogleCloud
TorchTPU: Running PyTorch Natively on TPUs at Google Scale- Google Developers Blog
Discover TorchTPU, Google’s new engineering stack designed to run PyTorch natively on TPU infrastructure with peak efficiency. Learn how its "Eager First" philosophy and XLA integration simplify model...
developers.googleblog.com
May 5, 2026 at 2:57 PM
PyTorch ❤️ TPU
With TorchTPU you can run PyTorch Natively on TPUs 👇
developers.googleblog.com/torchtpu-run...
#Google #GoogleCloud
With TorchTPU you can run PyTorch Natively on TPUs 👇
developers.googleblog.com/torchtpu-run...
#Google #GoogleCloud
Google is making it easier to port models to TPUs with minimal code changes and without requiring developers to switch frameworks or learn entirely new programming languages. #google #pytorch #enterpriseai #opensource #machinelearning #developers #ai #technology
Google TorchTPU enables native PyTorch AI execution
Google has launched TorchTPU, an engineering stack enabling PyTorch workloads to run natively on TPU infrastructure for enterprise AI.
www.developer-tech.com
April 9, 2026 at 3:32 PM
Google is making it easier to port models to TPUs with minimal code changes and without requiring developers to switch frameworks or learn entirely new programming languages. #google #pytorch #enterpriseai #opensource #machinelearning #developers #ai #technology
A new PyTorch-native backend is coming to unlock the power of Google TPUs:
✨ Run existing PyTorch with minimal code changes.
✨ Get a 50-100%+ performance boost with Fused Eager mode.
Read the engineering deep dive here: goo.gle/4vbTQQl
#TorchTPU #PyTorch #MLOps #AI
✨ Run existing PyTorch with minimal code changes.
✨ Get a 50-100%+ performance boost with Fused Eager mode.
Read the engineering deep dive here: goo.gle/4vbTQQl
#TorchTPU #PyTorch #MLOps #AI
April 7, 2026 at 5:00 PM
A new PyTorch-native backend is coming to unlock the power of Google TPUs:
✨ Run existing PyTorch with minimal code changes.
✨ Get a 50-100%+ performance boost with Fused Eager mode.
Read the engineering deep dive here: goo.gle/4vbTQQl
#TorchTPU #PyTorch #MLOps #AI
✨ Run existing PyTorch with minimal code changes.
✨ Get a 50-100%+ performance boost with Fused Eager mode.
Read the engineering deep dive here: goo.gle/4vbTQQl
#TorchTPU #PyTorch #MLOps #AI
Big news: Google and RadixArk are partnering to bring SGLang to Google Cloud TPUs!
✅ Run SGLang on TPU today via SGL-JAX
✅ Coming soon: SGL-torchtpu for a PyTorch-native experience
✅ No more migration tax—just ultimate flexibility for devs
Learn more 🛠️: goo.gle/3U2JVOC
✅ Run SGLang on TPU today via SGL-JAX
✅ Coming soon: SGL-torchtpu for a PyTorch-native experience
✅ No more migration tax—just ultimate flexibility for devs
Learn more 🛠️: goo.gle/3U2JVOC
July 30, 2026 at 5:00 PM
Big news: Google and RadixArk are partnering to bring SGLang to Google Cloud TPUs!
✅ Run SGLang on TPU today via SGL-JAX
✅ Coming soon: SGL-torchtpu for a PyTorch-native experience
✅ No more migration tax—just ultimate flexibility for devs
Learn more 🛠️: goo.gle/3U2JVOC
✅ Run SGLang on TPU today via SGL-JAX
✅ Coming soon: SGL-torchtpu for a PyTorch-native experience
✅ No more migration tax—just ultimate flexibility for devs
Learn more 🛠️: goo.gle/3U2JVOC
El arma secreta de Google contra el dominio de CUDA se llama TorchTPU. Y es un misil en la línea de flotación de NVIDIA
El arma secreta de Google contra el dominio de CUDA se llama TorchTPU. Y es un misil en la línea de flotación de NVIDIA
www.xataka.com
December 24, 2025 at 8:05 AM
El arma secreta de Google contra el dominio de CUDA se llama TorchTPU. Y es un misil en la línea de flotación de NVIDIA
TPU Inference Externalization Full Steam Ahead
InferenceX, Up to 50% Better Performance per Dollar, Rapid Externalization of TPU stack, Growing Customer Base, Ironwood, TPUv8i, Reducing CUDA Moat
inferencex.semianalysis.com/blog/tpu-inf...
InferenceX, Up to 50% Better Performance per Dollar, Rapid Externalization of TPU stack, Growing Customer Base, Ironwood, TPUv8i, Reducing CUDA Moat
inferencex.semianalysis.com/blog/tpu-inf...
TPU Inference Externalization Full Steam Ahead | InferenceX
First third-party TPUv7 Ironwood inference results on the InferenceX Official Preview. Apples-to-apples FP8 comparisons against B200 and B300, the native TorchTPU PyTorch stack replacing TorchAX, the ...
inferencex.semianalysis.com
September 9, 2026 at 12:30 AM
TPU Inference Externalization Full Steam Ahead
InferenceX, Up to 50% Better Performance per Dollar, Rapid Externalization of TPU stack, Growing Customer Base, Ironwood, TPUv8i, Reducing CUDA Moat
inferencex.semianalysis.com/blog/tpu-inf...
InferenceX, Up to 50% Better Performance per Dollar, Rapid Externalization of TPU stack, Growing Customer Base, Ironwood, TPUv8i, Reducing CUDA Moat
inferencex.semianalysis.com/blog/tpu-inf...
Google et META veulent se farcir Nvidia via un outil de compatibilité à PyTorch pour les faire tourner de façon transparente sur les TPU de Google.
Le monde de l'IA bouge et ça fera au détriment de Nvidia.
www.zonebourse.com/actualite-bo...
Le monde de l'IA bouge et ça fera au détriment de Nvidia.
www.zonebourse.com/actualite-bo...
Google et Meta s'unissent pour affaiblir la domination de Nvidia dans l'IA
Alphabet, maison mère de Google, s’allie à Meta pour développer TorchTPU, un projet visant à rendre les puces TPU de Google pleinement compatibles avec le framework PyTorch, largement utilisé...
www.zonebourse.com
December 19, 2025 at 1:18 AM
Google et META veulent se farcir Nvidia via un outil de compatibilité à PyTorch pour les faire tourner de façon transparente sur les TPU de Google.
Le monde de l'IA bouge et ça fera au détriment de Nvidia.
www.zonebourse.com/actualite-bo...
Le monde de l'IA bouge et ça fera au détriment de Nvidia.
www.zonebourse.com/actualite-bo...
딱히 뭔가 막 계산할것이 있지도 않으면서 이런거 보면 두근두근합니다.
그런데 이런거 개발하다가 역시 최고는 인간 뇌다 이러면서 뭔가 공상과학영화의 비극적 미래가 시작되는거 아니었던가요?
youtu.be/WzTRoHJBCmA?...
그런데 이런거 개발하다가 역시 최고는 인간 뇌다 이러면서 뭔가 공상과학영화의 비극적 미래가 시작되는거 아니었던가요?
youtu.be/WzTRoHJBCmA?...
Google and Meta Unveil TorchTPU - A Move That Could Cripple Nvidia’s $4T Empire!
YouTube video by Evolving AI
youtu.be
December 31, 2025 at 5:54 PM
딱히 뭔가 막 계산할것이 있지도 않으면서 이런거 보면 두근두근합니다.
그런데 이런거 개발하다가 역시 최고는 인간 뇌다 이러면서 뭔가 공상과학영화의 비극적 미래가 시작되는거 아니었던가요?
youtu.be/WzTRoHJBCmA?...
그런데 이런거 개발하다가 역시 최고는 인간 뇌다 이러면서 뭔가 공상과학영화의 비극적 미래가 시작되는거 아니었던가요?
youtu.be/WzTRoHJBCmA?...
If Google can get PyTorch working with TorchTPU and their own silicon, Nvidia's CUDA software stack could stop being the moat that allows them to sell at a huge premium. If the AI bubble doesn't burst over the next 12-18 months, that is […]
Original post on infosec.exchange
infosec.exchange
December 20, 2025 at 1:07 PM
If Google can get PyTorch working with TorchTPU and their own silicon, Nvidia's CUDA software stack could stop being the moat that allows them to sell at a huge premium. If the AI bubble doesn't burst over the next 12-18 months, that is […]
Running PyTorch natively on TPUs is on the way.
Google just announced they are working on TorchTPU, a new backend that will let PyTorch run natively on TPUs.
The idea is to let you switch the device to "tpu" without refactoring, replacing the older PyTorch/XLA approach.
Blog in 🧵
Google just announced they are working on TorchTPU, a new backend that will let PyTorch run natively on TPUs.
The idea is to let you switch the device to "tpu" without refactoring, replacing the older PyTorch/XLA approach.
Blog in 🧵
April 7, 2026 at 9:00 PM
Running PyTorch natively on TPUs is on the way.
Google just announced they are working on TorchTPU, a new backend that will let PyTorch run natively on TPUs.
The idea is to let you switch the device to "tpu" without refactoring, replacing the older PyTorch/XLA approach.
Blog in 🧵
Google just announced they are working on TorchTPU, a new backend that will let PyTorch run natively on TPUs.
The idea is to let you switch the device to "tpu" without refactoring, replacing the older PyTorch/XLA approach.
Blog in 🧵
TPU Inference Externalization Full Steam Ahead
The article examines Google’s push to make TPUs a first-class platform for external LLM inference, including TorchTPU, vLLM, SGLang, and a rapidly maturing open software stack. Benchm…
https://inferencex.semianalysis.com/blog/tpu-inferencex-full-steam
The article examines Google’s push to make TPUs a first-class platform for external LLM inference, including TorchTPU, vLLM, SGLang, and a rapidly maturing open software stack. Benchm…
https://inferencex.semianalysis.com/blog/tpu-inferencex-full-steam
September 15, 2026 at 1:15 AM
TPU Inference Externalization Full Steam Ahead
The article examines Google’s push to make TPUs a first-class platform for external LLM inference, including TorchTPU, vLLM, SGLang, and a rapidly maturing open software stack. Benchm…
https://inferencex.semianalysis.com/blog/tpu-inferencex-full-steam
The article examines Google’s push to make TPUs a first-class platform for external LLM inference, including TorchTPU, vLLM, SGLang, and a rapidly maturing open software stack. Benchm…
https://inferencex.semianalysis.com/blog/tpu-inferencex-full-steam
Independent benchmarks show Google's TPUv7 Ironwood beats Nvidia's B200/B300 on inference performance per dollar, as Anthropic commits to over one million TPUs.
TPU Inference Externalization Full Steam Ahead | InferenceX
First third-party TPUv7 Ironwood inference results on the InferenceX Official Preview. Apples-to-apples FP8 comparisons against B200 and B300, the native TorchTPU PyTorch stack replacing TorchAX, the Pallas kernel and MXU optimizations behind the numbers, and what TPUv8i changes.
inferencex.semianalysis.com
September 8, 2026 at 10:50 PM
Independent benchmarks show Google's TPUv7 Ironwood beats Nvidia's B200/B300 on inference performance per dollar, as Anthropic commits to over one million TPUs.
The technical move: TorchTPU lowers the barrier for PyTorch workloads on Google's tensor processing units.
Google is dedicating internal resources and may open-source parts of the project to accelerate adoption.
Google is dedicating internal resources and may open-source parts of the project to accelerate adoption.
December 18, 2025 at 3:00 PM
The technical move: TorchTPU lowers the barrier for PyTorch workloads on Google's tensor processing units.
Google is dedicating internal resources and may open-source parts of the project to accelerate adoption.
Google is dedicating internal resources and may open-source parts of the project to accelerate adoption.
Google just launched TorchTPU with help from Meta.
Here's why Nvidia's software moat is under attack:
CUDA has been Nvidia's real advantage—not the chips. Developers learned CUDA, built on CUDA, locked into CUDA.
But that's changing.
Here's why Nvidia's software moat is under attack:
CUDA has been Nvidia's real advantage—not the chips. Developers learned CUDA, built on CUDA, locked into CUDA.
But that's changing.
December 18, 2025 at 3:00 PM
Google just launched TorchTPU with help from Meta.
Here's why Nvidia's software moat is under attack:
CUDA has been Nvidia's real advantage—not the chips. Developers learned CUDA, built on CUDA, locked into CUDA.
But that's changing.
Here's why Nvidia's software moat is under attack:
CUDA has been Nvidia's real advantage—not the chips. Developers learned CUDA, built on CUDA, locked into CUDA.
But that's changing.
The technical move: TorchTPU lowers the barrier for PyTorch workloads on Google's tensor processing units.
Google is dedicating internal resources and may open-source parts of the project to accelerate adoption.
Google is dedicating internal resources and may open-source parts of the project to accelerate adoption.
December 18, 2025 at 2:20 PM
The technical move: TorchTPU lowers the barrier for PyTorch workloads on Google's tensor processing units.
Google is dedicating internal resources and may open-source parts of the project to accelerate adoption.
Google is dedicating internal resources and may open-source parts of the project to accelerate adoption.
Google just launched TorchTPU with help from Meta.
Here's why Nvidia's software moat is under attack:
CUDA has been Nvidia's real advantage—not the chips. Developers learned CUDA, built on CUDA, locked into CUDA.
But that's changing.
Here's why Nvidia's software moat is under attack:
CUDA has been Nvidia's real advantage—not the chips. Developers learned CUDA, built on CUDA, locked into CUDA.
But that's changing.
December 18, 2025 at 2:20 PM
Google just launched TorchTPU with help from Meta.
Here's why Nvidia's software moat is under attack:
CUDA has been Nvidia's real advantage—not the chips. Developers learned CUDA, built on CUDA, locked into CUDA.
But that's changing.
Here's why Nvidia's software moat is under attack:
CUDA has been Nvidia's real advantage—not the chips. Developers learned CUDA, built on CUDA, locked into CUDA.
But that's changing.
⚡ TorchTPU podría romper la dependencia de PyTorch + NVIDIA. Se viene guerra seria en el ecosistema de IA cibered.com/programacion...
#AI #NVIDIA #PyTorch #Google #Cibered
#AI #NVIDIA #PyTorch #Google #Cibered
Google TorchTPU: el movimiento que puede romper la dependencia de PyTorch con NVIDIA en la era de la IA | Ecosistema DEV | CIBERED
Google presenta TorchTPU, una nueva capa que permite ejecutar PyTorch de forma nativa en TPUs. Descubre cómo esta tecnología reduce la dependencia de NVIDIA y cambia la infraestructura de IA en 2026
cibered.com
April 13, 2026 at 7:07 PM
Can Google's TorchTPU eventually bridge NVIDIA's CUDA Moat?
Google's reported TorchTPU project represents the potential for far more than an incremental improvement to cloud computing infrastructure.
buff.ly/JEeyFxa
Google's reported TorchTPU project represents the potential for far more than an incremental improvement to cloud computing infrastructure.
buff.ly/JEeyFxa
January 5, 2026 at 8:00 PM
Can Google's TorchTPU eventually bridge NVIDIA's CUDA Moat?
Google's reported TorchTPU project represents the potential for far more than an incremental improvement to cloud computing infrastructure.
buff.ly/JEeyFxa
Google's reported TorchTPU project represents the potential for far more than an incremental improvement to cloud computing infrastructure.
buff.ly/JEeyFxa
Google & Meta challenge Nvidia's AI software dominance with TorchTPU, boosting PyTorch compatibility on TPU chips. A move that could accelerate open‑source AI development. Stay tuned for implications on tech strategy. #AI #TechCompetition\n\n🚩 #AI #TechCompetition #Innovation
December 19, 2025 at 7:37 PM
Google & Meta challenge Nvidia's AI software dominance with TorchTPU, boosting PyTorch compatibility on TPU chips. A move that could accelerate open‑source AI development. Stay tuned for implications on tech strategy. #AI #TechCompetition\n\n🚩 #AI #TechCompetition #Innovation
Tech News Briefing — #AIAdvancements
#CyberSecurity
#TechNewsToday
#AIInnovation
#EmergingTechTrends
#ArtificialIntelligenceMatters → https://alobbs.com/post/2026-04-23/
#CyberSecurity
#TechNewsToday
#AIInnovation
#EmergingTechTrends
#ArtificialIntelligenceMatters → https://alobbs.com/post/2026-04-23/
2026-04-23 Briefing
A U.S. Army Sergeant was arrested for allegedly using classified info to earn $400,000 on Polymarket. Meanwhile, Microsoft is offering voluntary buyouts to 7% of its U.S. workforce, and Anthropic’s Claude Desktop app faces scrutiny over potential browser sandbox bypasses. Additionally, Google launched TorchTPU for native PyTorch execution, and Ubuntu 26.04 LTS is now available.
alobbs.com
April 24, 2026 at 2:43 AM
🔍 Reuters reports Google is working with Meta’s PyTorch team to challenge Nvidia’s AI chip dominance by making Google’s TPUs fully compatible with PyTorch. The TorchTPU project aims to cut costs and make TPUs a viable alternative to Nvidia GPUs for large AI models.
December 17, 2025 at 4:26 PM
🔍 Reuters reports Google is working with Meta’s PyTorch team to challenge Nvidia’s AI chip dominance by making Google’s TPUs fully compatible with PyTorch. The TorchTPU project aims to cut costs and make TPUs a viable alternative to Nvidia GPUs for large AI models.