Huge improvements over Ironwood TPU’s (2-3x), can’t wait to see Gemini in action with these : )
AI HARDWARE
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Google Launches 8th Generation TPU AI Hardware
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TPU’s are a core part of the Google secret sauce, excited to see our 8th generation TPU see the light of day : )
— Logan Kilpatrick (@OfficialLoganK) 22 avril 2026
pic.twitter.com/R4fiT5YvFiTPU’s are a core part of the Google secret sauce, excited to see our 8th generation TPU see the light of day : )
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Edge Platforms Must Support Future Requirements on Legacy Hardware
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The edge platform cannot be purpose-built for today's rules alone. It must accommodate new requirements running on hardware installed years earlier.
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Google TPU 8t and 8i: New AI Hardware for Training and Inference
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TPU 8t, optimized for training and TPU 8i, optimized for inference. Looking good!
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Device Replacement and Firmware Compatibility Challenges Over Time
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Over 20-25 year lifespans, operators may not be able to procure the exact same replacement device. Even if they can, it won't have the same firmware.
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Edge Systems Navigate Firmware Diversity in IoT Hardware
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Battery edge systems need context for old and new firmware. Same function on 10-year-old hardware vs brand new device produces different data sets. The edge processes fast locally while summarizing for cloud. Partner content with @IOTechSystems. #iotechsys_iiot pic.twitter.com/XH4zrm3aus
— Lucian Fogoros (@fogoros) 22 avril 2026Battery edge systems need context for old and new firmware. Same function on 10-year-old hardware vs brand new device produces different data sets. The edge processes fast locally while summarizing for cloud. Partner content with @IOTechSystems
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Trillion-fold compute growth: AI training scales toward 2028
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Since I began work on AI in 2010, training compute for frontier models has grown by one trillion times. Now we're looking at something like another thousand-fold growth in effective compute by the end of 2028. 1000x the existing 1,000,000,000,000x. Extraordinary stuff.
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Schrodinger Accelerates Drug Discovery with NVIDIA GPU Computing
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@Schrodinger is shrinking weekslong drug discovery simulations into hours with NVIDIA accelerated computing on Google Cloud. -
Thinky Machines scales Tinker API on NVIDIA GB300 systems
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@thinkymachines is scaling its Tinker API on A4X Max VMs with NVIDIA GB300 NVL72 systems to accelerate training. -
OpenAI Runs ChatGPT on NVIDIA GB300 and GB200 Systems
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@OpenAI is running production inference on NVIDIA GB300 (A4X Max VMs) and GB200 NVL72 systems (A4X VMs), including for ChatGPT.