CENTURY TECH SYSTEM PTE. LTD.’s Post

[Sharing] Hi. How's it going! Today, we would like to share NVIDIA A30 24GB GPU with you. https://lnkd.in/g37zYz8D NVIDIA A30 24GB GPU features: FP64 NVIDIA Ampere architecture Tensor Cores that deliver the biggest leap in HPC performance since the introduction of GPUs. Combined with 24 gigabytes (GB) of GPU memory with a bandwidth of 933 gigabytes per second (GB/s), researchers can rapidly solve double-precision calculations. Go finding NVIDIA A30 24GB GPU in Century Tech System now! #Server #GPU #Graphiccard #NVIDIA #PCIe4 #FYI #Recommendations #New #Instock #Inventory #Centurytechsystem

[Sharing] Hi. How's it going! Today, we would like to share NVIDIA A30 24GB GPU with you. https://lnkd.in/g37zYz8D NVIDIA A30 24GB GPU features: FP64 NVIDIA Ampere architecture Tensor Cores that deliver the biggest leap in HPC performance since the introduction of GPUs. Combined with 24 gigabytes (GB) of GPU memory with a bandwidth of 933 gigabytes per second (GB/s), researchers can rapidly solve double-precision calculations. Go finding NVIDIA A30 24GB GPU in Century Tech System now! #Server #GPU #Graphiccard #NVIDIA #PCIe4 #FYI #Recommendations #New #Instock #Inventory #Centurytechsystem

[Sharing] Hi. How's it going! Today, we would like to share NVIDIA A30 24GB GPU with you. https://lnkd.in/g37zYz8D NVIDIA A30 24GB GPU features: FP64 NVIDIA Ampere architecture Tensor Cores that deliver the biggest leap in HPC performance since the introduction of GPUs. Combined with 24 gigabytes (GB) of GPU memory with a bandwidth of 933 gigabytes per second (GB/s), researchers can rapidly solve double-precision calculations. Go finding NVIDIA A30 24GB GPU in Century Tech System now! #Server #GPU #Graphiccard #NVIDIA #PCIe4 #FYI #Recommendations #New #Instock #Inventory #Centurytechsystem

#nvidia #nvidiagtc #vertiv #gpu #highdensity #liquidcooling Orchestrating of having all coming together as one supercompute, Harness great power of computation to deliver AI technologies to support organizations & industries globally through CPU, GPU, HBM, high speed networking etc. We #Vertiv support the future by empowering the AI technologies with our high density liquid cooling which effectively cool high powered GPUs like Nvidia GB200 Blackwell with the heat generated, air cooling, high density power from Busbar to Rack PDUs - using Grid to Chip architecture. re: Barron's

It's all very well understanding the Nvidia GPU range, but a GPU is not much use without something to put it in! 😐 Nvidia has categorized the systems that support their GPUs, from embedded Jetson solutions on AGX to the SXM-based HGX and DGX systems. Check out the graphic below for a clear breakdown of what each system brings to the table. At TD SYNNEX Global Computing Components we understand not only the Nvidia GPU lineup but also the platforms that are validated to support them. Our solution architects are working every day to create bespoke setups for our customers using these systems, from all key platform vendors. 💡 Get in touch to learn more about the Nvidia GPU range or the systems we can design for you. Nvidia system catalog https://lnkd.in/eaGVPRtk #Nvidia #GPUs #ServerSolutions #TDsynnex #AIInfrastructure #TechInnovation #CertifiedPlatforms #NvidiaCertified #DataCenterSolutions

See how you can take advantage of the powerful GPU-accelerated optimization capabilities offered by NVIDIA cuOpt on an #OCI VM instance accelerated by NVIDIA GPUs. https://lnkd.in/e6-Wc3x8

Quick Take: NVIDIA Unveils Next-Gen GPU Architecture - Rubin to Arrive in 2026 NVIDIA CEO Jensen Huang surprised audiences by revealing the company's future GPU architecture, codenamed "Rubin," set to launch in 2026. This announcement comes hot on the heels of their Blackwell architecture reveal, which is expected to debut later this year. Nvidia also plans to release a new CPU, "Vera," alongside Rubin in 2026. Slated for a 2026 release, Rubin GPUs are anticipated to utilize TSMC's leading-edge 3nm process technology, a significant leap from the 4nm process used for the upcoming Blackwell B100 accelerators. #Nvidia #GPUs #Rubin #Vera #Semiconductors #AI #ArtificialIntelligence #Taiwan #TSMC

Introducing Lambda 1-Click Clusters: On-Demand GPU Clusters featuring NVIDIA H100 Tensor Core GPUs with Quantum-2 InfiniBand. No long-term contract required. https://lnkd.in/eiY-ebq7

Implementing CUDA Graphs in llama.cpp Modern GPUs are incredibly fast, and NVIDIA has introduced CUDA Graphs to further optimize performance. #CUDA Graphs allow work to be defined as a graph of operations rather than as single operations, solving issues by enabling multiple GPU operations to be launched through a single CPU operation. Reducing Overheads: Speedup varies across model sizes and #GPU variants. 🔵 Benefits increase as: ✅ Model size decreases ✅ GPU capability increases Aligning with Expectations: 🔵 CUDA Graphs reduce overheads, particularly for small problems on fast GPUs. Highest Achieved Speedup: ✅ 1.2x speedup for the smallest Llama 7B model ✅ Achieved on the fastest NVIDIA H100 GPU When performing inference on Meta's #Llama models on #NVIDIA GPU, #CUDAGraphs enabled the scheduling of multiple GPU activities as a single computational graph in unison, leading to more efficient execution. #cudaprogramming #machinelearning

𝐂𝐏𝐔 𝐝𝐨𝐞𝐬 𝐧𝐨𝐭 𝐬𝐢𝐠𝐧𝐢𝐟𝐢𝐜𝐚𝐧𝐭𝐥𝐲 𝐚𝐟𝐟𝐞𝐜𝐭 𝐃𝐋𝐒𝐒 (𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐒𝐮𝐩𝐞𝐫 𝐒𝐚𝐦𝐩𝐥𝐢𝐧𝐠) 𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞. DLSS is a technology developed by NVIDIA that uses Al and machine learning, running on the Tensor Cores of NVIDIA RTX GPUs, to upscale lower-resolution images to higher resolutions in real-time. This process is heavily reliant on the GPU, particularly the Tensor Cores, and not on the CPU.