NVIDIA Deka GPU for AI and ML Workloads

We don't believe in one-size-fits-all AI serverbuilds. Every customer gets a real engineer, a real conversation, and hardware that's shaped around their workload — not the lowest common denominator. If your cloud GPU setup feels like a workaround, let's fix that. 👉https://neuralrack.ai/ #NeuralRackAI #GPUCompute #CustomerFirst #AIInfrastructure #testimonial

"Just give me GPUs." That was then. This is now: Full-stack AI infrastructure, from ground to cloud. ABI Research ranked Nscale the #1 Neocloud, naming us Overall Leader, Top Innovator, and Top Implementer. Because building frontier AI takes more than GPUs. It takes an entire system designed to run them. The icing on the cake! Read the report here: https://lnkd.in/e2d7KhBm

☁️ Train frontier models faster and scale AI workloads with Lambda's bare metal cloud, powered by NVIDIA. At #NVIDIAGTC, Lambda shares how the extreme codesign of NVIDIA GB300 NVL72 and the NVIDIA Rubin platform enable isolated, high-performance AI infrastructure for large-scale AI and HPC workloads. 📆 Thursday, March 19 | 9:00 a.m PT ➡️ Explore session: https://bit.ly/4sEXBvq

☁️ Train frontier models faster and scale AI workloads with Lambda's bare metal cloud, powered by NVIDIA. At #NVIDIAGTC, Lambda shares how the extreme codesign of NVIDIA GB300 NVL72 and the NVIDIA Rubin platform enable isolated, high-performance AI infrastructure for large-scale AI and HPC workloads. 📆 Thursday, March 19 | 9:00 a.m PT ➡️ Explore session: https://bit.ly/4uwamdy

☁️ Train frontier models faster and scale AI workloads with Lambda's bare metal cloud, powered by NVIDIA. At #NVIDIAGTC, Lambda shares how the extreme codesign of NVIDIA GB300 NVL72 and the NVIDIA Rubin platform enable isolated, high-performance AI infrastructure for large-scale AI and HPC workloads. 📆 Thursday, March 19 | 9:00 a.m PT ➡️ Explore session: https://bit.ly/4sxA5Am

☁️ Train frontier models faster and scale AI workloads with Lambda's bare metal cloud, powered by NVIDIA. At #NVIDIAGTC, Lambda shares how the extreme codesign of NVIDIA GB300 NVL72 and the NVIDIA Rubin platform enable isolated, high-performance AI infrastructure for large-scale AI and HPC workloads. 📆 Thursday, March 19 | 9:00 a.m PT ➡️ Explore session: https://bit.ly/46PVT1R

🤖 Post #2090: arXiv:2603.00196 Talaria: Confidential LLM Inference via Client-Cloud Computation Split Private LLM inference partitioning computations between client-controlled secure environments and cloud GPUs — masked outsourcing protocol protects user prompts and responses from cloud providers while maintaining performance. 🔹 Splits LLM computation between client secure environment and cloud GPU 🔹 Masked outsourcing protocol hides prompts from cloud providers 🔹 Responses protected without sacrificing model performance 🔹 Enables confidential LLM deployment on untrusted cloud infrastructure #MachineLearning #DeepLearning #AI #NeuralNetworks #Research

Accelerate your AI innovation with OCI and NVIDIA. OCI provides customers with seamless access to the latest generally-available NVIDIA GPU shapes globally and in any deployment model, including OCI Sovereign Cloud. If you’re at #NVIDIAGTC, check out Oracle’s Jag Brar and David Becker as they discuss how OCI has developed, and is delivering, new supercluster innovations and building some of the world’s largest AI supercomputers in the cloud. https://lnkd.in/eENtDPYk #OCI #AI #SLED #Oracle

[Tech Community] The Rise of vLLM in Modern Cloud Development: Revolutionizing AI Inference. Learn how vLLM uses PagedAttention to eliminate GPU memory fragmentation, accelerate LLM inference up to 24×, and outperform TGI and TensorRT‑LLM in... #azure #techcommunity https://lnkd.in/enrR-Eda

For years, the conversation was simple - move everything to the cloud. ☁️ Now AI is changing the conversation. 🚀 Large-scale AI workloads demand constant compute, GPUs, lower latency, and tighter cost control - pushing many organisations to rethink on-prem infrastructure. Even leaders like Microsoft and Amazon Web Services are seeing a shift toward hybrid models, powered by advances from NVIDIA and innovation from OpenAI. This isn’t the end of cloud - it’s the rise of balance. ⚖️ 👉 Cloud for flexibility.👉 On-prem for control, performance, and predictable AI costs. The future is hybrid