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L40 vs H100 vs A100 GPU Comparison

10/9/2023Orla Power
Explore our GPU comparison, including the L40, H100, and A100 models, to determine which suits your performance needs and budget.

Thanks for joining us at FIA 2023

10/6/2023Orla Power
ICC showcased pioneering tech at FIA 2023 in Chicago, including high-performance VEGA™ Servers and NVIDIA's cutting-edge GPU solutions.

The ICC-USA GPU Cheat Sheet - NVIDIA and AMD

9/19/2023Orla Power

The ICC-USA GPU Cheat Sheet - NVIDIA and AMD

As a premier partner to NVIDIA, AMD and other manufacturers, we can help you out.

Benefits and technical specification of the NVIDIA L40

9/12/2023Orla Power
The NVIDIA L40 has become a popular GPU within the datacenter. Designed for 24x7 operation with power-efficient hardware, the NVIDIA L40 is optimized to deploy at scale and deliver maximum performance for a diverse range of data center workloads. The L40 is NEBS Level 3 compliant to meet the latest data center standards.

Best GPU for Intel Sapphire Rapids Workstation

9/6/2023Orla Power
Based on our research, the best GPU for an Intel Sapphire Rapids workstation is the NVIDIA RTX A6000, offering 48GB of GDDR6 memory, 10,752 CUDA cores, and a boost clock speed of 1.9 GHz. It is also compatible with the Intel Xe-HPC architecture, which makes it ideal for high-performance computing workloads.

Four reasons to use NVIDIA GPUs for AI workloads

9/4/2023Orla Power
NVIDIA GPUs are designed to accelerate AI workloads, providing a number of benefits over CPUs, including: Higher performance, More efficient, Scalability and Versatility

NVIDIA vs AMD for your GPU needs

8/30/2023Orla Power
NVIDIA and AMD are both leading manufacturers of GPUs, which are used for a variety of tasks, including AI, machine learning and Deep Learning workloads. NVIDIA GPUs are generally considered to be better for AI workloads than AMD GPUs, due to their higher performance and better support for AI libraries and frameworks. However, AMD GPUs are becoming more competitive in the AI market, and they may be a good option for budget-conscious users.

NVIDIA L40 GPUs for Transcoding workloads

8/8/2023Orla Power
Any business dealing with video and audio content production, streaming, and distribution would agree that video transcoding is a crucial aspect of their operations. The process of converting media content from one format to another can take up a lot of time and resources. Fortunately, thanks to the latest technological advancements, transcoding can now be done with ease and efficiency using GPUs.

Large Language Models with NVIDIA and JedAI

8/8/2023Orla Power
JedAI provides a collaborative development environment for Data Science teams to experiment, train, fine-tune, and deploy LLMs or GenAI workloads across the enterprise and in the Cloud, on NVIDIA® powered GPUs.

Insights

L40 vs H100 vs A100 GPU Comparison

10/9/2023Orla Power
Explore our GPU comparison, including the L40, H100, and A100 models, to determine which suits your performance needs and budget.

Thanks for joining us at FIA 2023

10/6/2023Orla Power
ICC showcased pioneering tech at FIA 2023 in Chicago, including high-performance VEGA™ Servers and NVIDIA's cutting-edge GPU solutions.

The ICC-USA GPU Cheat Sheet - NVIDIA and AMD

9/19/2023Orla Power

The ICC-USA GPU Cheat Sheet - NVIDIA and AMD

As a premier partner to NVIDIA, AMD and other manufacturers, we can help you out.

Benefits and technical specification of the NVIDIA L40

9/12/2023Orla Power
The NVIDIA L40 has become a popular GPU within the datacenter. Designed for 24x7 operation with power-efficient hardware, the NVIDIA L40 is optimized to deploy at scale and deliver maximum performance for a diverse range of data center workloads. The L40 is NEBS Level 3 compliant to meet the latest data center standards.

Best GPU for Intel Sapphire Rapids Workstation

9/6/2023Orla Power
Based on our research, the best GPU for an Intel Sapphire Rapids workstation is the NVIDIA RTX A6000, offering 48GB of GDDR6 memory, 10,752 CUDA cores, and a boost clock speed of 1.9 GHz. It is also compatible with the Intel Xe-HPC architecture, which makes it ideal for high-performance computing workloads.

Four reasons to use NVIDIA GPUs for AI workloads

9/4/2023Orla Power
NVIDIA GPUs are designed to accelerate AI workloads, providing a number of benefits over CPUs, including: Higher performance, More efficient, Scalability and Versatility

NVIDIA vs AMD for your GPU needs

8/30/2023Orla Power
NVIDIA and AMD are both leading manufacturers of GPUs, which are used for a variety of tasks, including AI, machine learning and Deep Learning workloads. NVIDIA GPUs are generally considered to be better for AI workloads than AMD GPUs, due to their higher performance and better support for AI libraries and frameworks. However, AMD GPUs are becoming more competitive in the AI market, and they may be a good option for budget-conscious users.

NVIDIA L40 GPUs for Transcoding workloads

8/8/2023Orla Power
Any business dealing with video and audio content production, streaming, and distribution would agree that video transcoding is a crucial aspect of their operations. The process of converting media content from one format to another can take up a lot of time and resources. Fortunately, thanks to the latest technological advancements, transcoding can now be done with ease and efficiency using GPUs.

Large Language Models with NVIDIA and JedAI

8/8/2023Orla Power
JedAI provides a collaborative development environment for Data Science teams to experiment, train, fine-tune, and deploy LLMs or GenAI workloads across the enterprise and in the Cloud, on NVIDIA® powered GPUs.