We know that Jamba 1.5 models are the fastest, but the question is – how fast? @ArtificialAnlys tested our models to find out The image below shows the throughput for various models (with prompt length = 10K tokens). Jamba 1.5 models are a whole lot faster – and that speed
COMPUTING
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Major Enterprise AI and Infrastructure Partners Collaboration
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@Accenture @DeloitteUS @SoftServeInc @wwt_inc @ciscoDC @DellTech @HPE @LenovoDC
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Nigel Toon’s Book: Is It Worth Reading?
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Found this book by @graphcoreai
’s Nigel Toon, does anyone know if it’s any good? -
Tesla’s Construction and Supercompute Infrastructure Teams Excel
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The Tesla construction and supercompute infrastructure teams are awesome
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Austin’s AI Chip Design Team Powers Tesla Vehicles
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Austin is awesome. Gaining critical mass of tech talent fast. The Tesla AI inference chips in all our cars were designed by our Austin team.
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On-Premise AI Inference Deployment with Nutanix Partnership
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As 59% of organizations plan to run #AI inference workloads on-prem or in private clouds, the need for secure, compliant AI solutions is clear. Read how our partnership with @nutanix delivers cutting-edge AI directly to your on-prem environment, deployable in hours, not weeks:
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NVIDIA CUDA GPU Computing Drives Sustainable Computing Innovation
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From 400x faster simulations to 140x energy savings, see how NVIDIA’s CUDA GPU-accelerated computing is paving the way for sustainable computing. Read more: https://
nvda.ws/3WTGqYI #CUDA #AI #SustainableComputing -
Tesla unveils Cortex AI training supercluster at Austin headquarters
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Video of the inside of Cortex today, the giant new AI training supercluster being built at Tesla HQ in Austin to solve real-world AI pic.twitter.com/DwJVUWUrb5
— Elon Musk (@elonmusk) 26 août 2024of the inside of Cortex today, the giant new AI training supercluster being built at Tesla HQ in Austin to solve real-world AI
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India AI Mission Builds Comprehensive Ecosystem for Innovation
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The IndiaAI Mission aims to build a comprehensive ecosystem that fosters AI innovation by democratizing computing access, enhancing data quality, developing indigenous AI capabilities, attracting top AI talent, enabling industry collaboration, providing startup risk capital,… pic.twitter.com/BNaJbDw3zg
— IndiaAI (@OfficialINDIAai) 26 août 2024The IndiaAI Mission aims to build a comprehensive ecosystem that fosters AI innovation by democratizing computing access, enhancing data quality, developing indigenous AI capabilities, attracting top AI talent, enabling industry collaboration, providing startup risk capital,
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Graviton instances now supported on Databricks ML Runtime
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Graviton instances are now supported on the Databricks ML Runtime cluster! For users, this means faster ML applications without compromising model quality – and additional speed on top of Photon. Learn more https://
bit.ly/4dpuyVg