Discussion

• @jeffdean Jeff Dean on x

  Architectural changes enable significantly higher throughput for a RecurrentGemma-variant of the Gemma models.

• @nvidiaaidev @nvidiaaidev on x

  Announced today, CodeGemma is accelerated by NVIDIA TensorRT-LLM on RTX GPUs. #AIonRTX ➡️ https://catalog.ngc.nvidia.com/ ... Download the optimized int4 checkpoints that bring powerful yet lightweight coding capabilities in 7B and 2B pretrained variants that specialize in code c…

• @_philschmid Philipp Schmid on x

  Gemma can now code!🤯 🔔 @GoogleDeepMind just released Code Gemma, a collection of specialized open code models. Code Gemma comes in two different sizes 2B & 7B, excellent for on-device code completion. 🧑🏻‍💻 TL;DR; 🧮 2B & 7B with 8192k context 🛫 initialized from Gemma Base 🔠... [im…

• @clmt Clément on x

  Gemma is expanding.... we just announced CodeGemma, a version of Gemma tuned for code generation. And bonus... Gemma is now bumped to v1.1, addressing lots of feedback we got. Congrats Gemma team for one more amazing release! https://developers.googleblog.com/ ...

• @fchollet François Chollet on x

  We just release CodeGemma, a new version of the Gemma line of models fine-tuned on code generation and completion, that achieves state-of-the-art results. Available in sizes 2B and 7B. [image]

• @samuelmlsmith Samuel L Smith on x

  Announcing RecurrentGemma! https://github.com/... - A 2B model with open weights based on Griffin - Replaces transformer with mix of gated linear recurrences and local attention - Competitive with Gemma-2B on downstream evals - Higher throughput when sampling long sequences [imag…

• Phoronix Phoronix on x

  Google Announces Axion ARM-Based CPUs For The Cloud

• @danielnewmanuv Daniel Newman on x

  As always top insights on CNBC from @PatrickMoorhead with @MorganLBrennan breaking down the nuance of the AI chip space. I agree on Foundry and it's long tail for @Intel and also agree that not just GPU but OneAPI is the big Inflection for Intel to compete more broadly with...

• @benbajarin Ben Bajarin on x

  We all knew it was coming, because what else was @jonmasters working on :), Google now officially with an @arm CPU. All three hyperscalers now with @arm cpus for their software stack. This gets super interesting as the ratio of CPUs to GPUs gets closer in future datacenter....

• @danielnewmanuv Daniel Newman on x

  Yep, @DivesTech is directionally correct on the what and why of @Google launching its home grown CPU Axion. Vertical integration and workload optimization plus oft better economics is a good combination. Plus, saying this all while wearing that jacket should yield at least...

• @stevendickens3 Steven Dickens on x

  Google Cloud Axion - A quick take. Google's venture into the realm of custom silicon chips is not a new endeavor; the company has consistently demonstrated its prowess in designing and deploying these chips on a large scale with its TPU portfolio being on its 5th generation. The.…

• @stevendickens3 Steven Dickens on x

  .@googlecloud is getting further into custom silicon with the launch of Axion. Listen to @ThomasOrTK give the 30 second overview below 👇 My quick take: This move makes perfect sense and the ARM collaboration is a wise move. Custom silicon will be the battleground for AI... [video…

• @aschilling Andreas Schilling on x

  This is the @googlecloud #Axion that runs general-purpose workloads on C4A like web and app servers, microservices, open-source databases, in-memory caches, data analytics engines, media processing, AI training and inferencing. Its based on Arm Neoverse V2. [image]

• @googlecloud @googlecloud on x

  Google has a long history of designing silicon chips and deploying them at scale. So, what's next? Introducing Google Cloud Axion—our new custom ArmⓇ-based CPU designed for the data center #GoogleCloudNext. [image]

• @jimcramer Jim Cramer on x

  so far i think Arm and Palo Alto are big winners of this Google lovefest

• @iancutress @iancutress on x

  Here's the official image. Monolithic, DDR5, BGA. No word on core counts, frequencies, memory bandwidth, PCIe, CXL, TDP, multi-socket compatibility. Yet. That's why I'm here. [image]

• @patrickmoorhead Patrick Moorhead on x

  BOOM! The worst kept semi secret is out. @Google announces Axion, an @Arm-based general purpose processor. Already deployed internally on services like @YouTube, in preview for enterprise customers soon. More details later from @MattKimball_MIS. [image]

• @iancutress @iancutress on x

  On perf, Google are comparing it to Graviton v3 - 30% better perf. To x86, they're saying 50% better perf and 60% better perf/watt. They've not said if that's a per-core or per-socket statement.

• @quinnypig Corey Quinn on x

  “We're announcing the Google Axion processor; it'll be available later this year.” Proving the Google Axiom that “only OpenAI can announce things that are shipping that day.”

• @cnbcovertime @cnbcovertime on x

  “This is a flex the muscle...we're talking about a trillion dollar market opportunity over the next decade. When you look at what Kurian and Google are doing, this is exactly what they need to go after,” says @divestech on $GOOGL's announcement of a new custom arm-based chip. [vi…

• @dhinchcliffe Dion Hinchcliffe on x

  The #AI Chip Era: @Google unveils new custom @Arm-based chips named #Axion, following similar efforts at rivals Amazon and Microsoft https://www.cnbc.com/... 60% more energy efficient than same workload on x86, which is a large cost differential. #cloud #AI #CPUs #compute [image]

• @danielnewmanuv Daniel Newman on x

  Noteworthy as @Google ramps up it's silicon ambitions that it also called out that it trains Gemini with its in-house TPU. Not suggesting it doesn't use @nvidia but worth mentioning since many like to claim nvidia is the only training chip on the planet. $NVDA $GOOGL

• @mattkimball_mis Matthew Kimball on x

  Just as expected, @Google announces its @Arm based CPU - Axion. It will be used for internal workloads (e.g. Spanner, Google Earth) and for @googlecloud enterprise workload support. https://cloud.google.com/...

• @pramod_bhatotia Pramod Bhatotia on x

  The x86 dominance is diminishing, and the cloud is becoming even more heterogeneous! https://cloud.google.com/...

• @jonmasters @jonmasters on x

  Proud to be a member of the team that brought you @Google Axion, Google's first custom @Arm CPU #ArmServers Read more in Amin's blog, below: https://cloud.google.com/...

• @jonmasters @jonmasters on x

  I remember telling my former CEO Jim at @RedHat back in the mid-2010s that all the hyperscalers were going to build their own CPUs. Now with Graviton, Cobalt, and Axion, the set is complete #ArmServers

• @felixclc_ @felixclc_ on x

  Congrats to @jonmasters and so many other Googlers on the launch of Axion! With its launch today, it marks all 5 highest valued tech companies all building their own in house @Arm devices. Also interesting is how all but one are using the arm Neoverse vendor core IP model! #HPC

• @thomasortk Thomas Kurian on x

  We're introducing custom silicon advancements with Google Axion, our first custom ArmⓇ-based CPU designed for the datacenter.

• @thomasortk Thomas Kurian on x

  We're announcing key advancements to our AI-optimized infrastructure, including the GA of TPU v5p, A3 mega coming soon, and that NVIDIA HGX B200 and GB200 NVL72 will be coming in early 2025. We're also enabling AI anywhere with new capabilities in Google Distributed Cloud.

• @jkowall @jkowall on x

  Today's most interesting announcement from @googlecloud is their new ARM-based CPUs called Axion, which will likely start to compete with @awscloud Gravitons. It's about time, and it's about to get a lot more exciting in compute. https://cloud.google.com/...

• @madscapital @madscapital on x

  “Axion processors combine Google's silicon expertise with Arm's highest performing CPU cores to deliver instances with up to 30% better performance than the fastest general-purpose Arm-based instances available in the cloud today” $GOOG https://cloud.google.com/...

• @firstadopter Tae Kim on x

  The big Google hyperscaler chip design win for ARM “Axion processors improve performance by up to 30% compared with the fastest similar Arm-based chips available in the cloud” “Axion chips will become accessible to external customers later this year” https://www.wsj.com/... [imag…