Ari Liberman retweeted
You went 🍌🍌 for Nano Banana. Now, meet Nano Banana Pro.
It’s SOTA for image generation + editing with more advanced world knowledge, text rendering, precision + controls. Built on Gemini 3, it’s really good at complex infographics - much like how engineers see the world:)
Ari Liberman retweeted
Hudson River Trading is taking its quantitative research to the cloud. Leveraging Google Cloud's infrastructure and powerful AI chips, HRT will be able to test new strategies in a shorter period of time in a cost-effective way.
Read more → goo.gle/4cE6Bt7
ALT Abstract visual with two company logos.
Ari Liberman retweeted
Announced today, we are collaborating as a launch partner with @Google in delivering Gemma, an optimized series of models that gives users the ability to develop with #LLMs using only a desktop #RTX GPU. nvda.ws/3wsbAwP
Ari Liberman retweeted
Introducing Gemini 1.5: our next-generation model with dramatically enhanced performance. It also achieves a breakthrough in long-context understanding.
The first release is 1.5 Pro, capable of processing up to 1 million tokens of information. 🧵 dpmd.ai/3SEbw4p
Ari Liberman retweeted
Today we're introducing Gemini 1.5, our next-generation AI model. It shows dramatically enhanced performance, including long-context understanding across modalities, which opens up new possibilities for people to create and build with AI → goo.gle/4bEXIPL #GeminiAI
ALT Gemini logo, which is a blue ombre diamond sits above the text that reads “Introducing Gemini 1.5” on a black background.
Ari Liberman retweeted
Ready to scale your geospatial projects? PlanetScope satellite data is now available on @googlecloud Marketplace, unlocking a world of possibilities for swift and efficient Earth monitoring initiatives.
Get the latest here: go.planet.com/cloud
Ari Liberman retweeted
Today developers can start building with our first version of Gemini Pro through Google AI Studio at ai.google.dev.
Developers have a free quota and access to a full range of features including function calling, embeddings, semantic retrieval, custom knowledge grounding, chat functionality and more. It supports 38 languages across 180+ countries. Gemini Ultra is coming early next year. We’re excited to see what you build! blog.google/technology/ai/ge…
Ari Liberman retweeted
Introducing Gemini 1.0, our most capable and general AI model yet. Built natively to be multimodal, it’s the first step in our Gemini-era of models. Gemini is optimized in three sizes - Ultra, Pro, and Nano
Gemini Ultra’s performance exceeds current state-of-the-art results on 30 of the 32 widely-used academic benchmarks. With a score of 90.0%, Gemini Ultra is the first model to outperform human experts on MMLU.
blog.google/technology/ai/go…
Ari Liberman retweeted
Starting today, Bard is now available in many more countries and languages. We’re also rolling out Google Lens capabilities in Bard so you can use images in prompts, a new text-to-speech feature that lets you listen to responses, and much more. blog.google/products/bard/go…
Ari Liberman retweeted
1/ In 2021, we shared next-gen language + conversation capabilities powered by our Language Model for Dialogue Applications (LaMDA). Coming soon: Bard, a new experimental conversational #GoogleAI service powered by LaMDA.
blog.google/technology/ai/ba…
Ari Liberman retweeted
Our fully managed service, Batch (in preview), provides easy access to our computing power & scale.
Here are just a few examples of what Batch can do: Run batch Jobs as a Service, provision compute resources, use accelerator-optimized resources & more ↓ cloud.google.com/blog/produc…
Ari Liberman retweeted
I made a tutorial for Batch. Let me know if you have any feedback! :D
Introducing Batch, a new managed service for scheduling batch jobs at any scale @googlecloud cloud.google.com/blog/produc…
Ari Liberman retweeted
Batch processing is a tale as old as computing itself. In fact, the term 'batch' dates back to the punchcards used by early mainframes.
Now, flash forward to today: Learn how Batch provides easy access to Google Cloud’s computing power and scale ↓ cloud.google.com/blog/produc…
Ari Liberman retweeted
Do you need more accelerated compute resources for your batch processing workloads? Google Cloud's preview of Batch launched today in collaboration with NVIDIA GPUs for demanding AI, ML, and HPC batch workloads.
nvda.ws/3P5lrx7
Ari Liberman retweeted
2021 was our biggest Black Friday Cyber Monday ever! Together with our friends at @GoogleCloud we achieved near-perfect uptime while averaging ~30TB/min of egress traffic across our infrastructure. That’s a massive ~43PB/day!
Here are some of the most interesting stats 🧵👇
Ari Liberman retweeted
Spot compute comes to GKE Autopilot with Spot Pods! cloud.google.com/blog/produc… 70% discount on your fault-tolerant workloads.
Ari Liberman retweeted
Very excited about the new Tau VMs on GCP: 56% faster than Graviton2. 42% better price/performance. That's "leapfrog", not "better".
The first instance type in our new Tau VM family, based on AMD EPYC™ 3rd Gen processors, leapfrogs comparable offerings available on any leading public cloud today, both in terms of performance and workload total cost of ownership (TCO). Read why → goo.gle/35usbPN
Ari Liberman retweeted
How GCP is leading in many areas -- with animated GIFs. (How Richard explains it, not how we lead 😁).
I’ve been thinking about the cool ways @GCPcloud reinvented public cloud. We took many first-generation cloud concepts, and made them better for you.
It's 🧵 time!
Ari Liberman retweeted
I’ve been thinking about the cool ways @GCPcloud reinvented public cloud. We took many first-generation cloud concepts, and made them better for you.
It's 🧵 time!