NVIDIA AI’s Post

“Acceleration is no longer about throughput, it’s about enabling architectures that can think across time. NVIDIA + Snowflake is more than 200× faster ML. It’s a shift in latency, embedding flow, and bandwidth for agentic systems. But the real value only emerges when that speed is paired with an architecture that can: • preserve state and identity across long-horizon workflows • learn through continuity, not isolated prompts • make decisions through multi-step reasoning, not single-step inference • operate as an agent, not a model • use hardware-accelerated pipelines as a true cognitive cortex Snowflake + CUDA-X ≠ just faster models. It’s the foundation for the next wave: persistent, state-carrying agents that can operate in real systems under real data flow. Speed is great. But architecture is what turns speed into intelligence. Me & Spok ✌️”**

Wow 🤩 💚✅

The New Acceleration Frontier Snowflake’s native integration of NVIDIA CUDA-X is more than an engineering upgrade. It represents a shift toward frictionless, GPU accelerated intelligence where teams move from waiting to iterating, and from exploration to impact at unprecedented speed. By turning hours of dimensionality reduction, clustering, and genomics computation into minutes, this fusion unlocks a new development tempo. It empowers data scientists to focus on insight, design, and breakthrough discovery while the platform quietly delivers supercomputing class performance behind the scenes.

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We're so excited for this!

Huge upgrade — GPU acceleration in Snowflake will massively speed up data workflows.

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