Delivering high-performance graphics cards from world-leading suppliers
With thousands of graphic processing units (GPUs) sold in the last year, Panchaea can command stock from the world’s top graphics cards suppliers, with quick lead times and secure delivery.
The bedrock of our business, moving significant graphics card volumes is a risk you can trust with us.
Paired with our high-performance GPU compute servers are professional visualisation and data center GPUs from NVIDIA® – all thanks to our close partnership with PNY and ASUS. With the introduction of the NVIDIA ampere architecture, we can offer products that feature enhanced real-time ray tracing, accelerated AI, and advanced graphics and compute capabilities.
As a NIVDIA Partner Network Preferred Member, we have access to the latest and greatest from NVIDIA and are actively specifying cards from the RTX™ A4000 for entry-level render workloads, up to the DGX platforms that are propelling AI and deep learning markets into the stratosphere.
When choosing graphics cards for data center servers or commercial use, it’s crucial to consider several factors to ensure optimal performance and compatibility with specific workloads and requirements.
Workload requirements
Ask what your primary workloads for the graphics cards will be. Tasks may include machine learning, artificial intelligence, scientific computing, graphics rendering, significant volumes of data processing or computations, or video encoding. Understanding the specific computational demands of these workloads will guide the selection of graphics cards with the appropriate capabilities.
Performance and memory
What level of performance is required for your intended workloads? Consider the number of cores, clock speed, memory bandwidth, and memory capacity of the available GPUs. These factors will determine the overall processing power and data handling capabilities.
Compatibility and scalability
Are the graphics cards compatible with your existing hardware infrastructure, including:
– Servers
– Motherboards
– Power supply units
Ensure the GPUs you choose can be seamlessly integrated into your IT environment or data center and that they can offer scalability for future expansions or upgrades.
Power consumption and thermal management
What is the GPU’s power consumption and how will it impact your cooling requirements? Consider the graphics cards’ energy efficiency and ability to operate within the thermal constraints of your organisation or data center.
Cost-effectiveness and ROI
What is the total cost of ownership of the graphics cards, including:
– Acquisition
– Maintenance
– Power consumption
Evaluate the graphics cards’ long-term value and return on investment (ROI) in relation to the performance gains they provide for your workloads.
Vendor support and reliability
Not all vendors are created equally. Do you research on their reputation and track record as a GPU vendor. Some things to look out for are:
– How is their support?
– Do they perform regular driver updates?
– What is their reliability?
Ensure the vendor provides comprehensive support and maintains consistent driver update releases. This will ensure compatibility with evolving software and operating systems.
Futureproofing and roadmaps
What does the vendors roadmap look like and how does it align with your organisation’s long-term plans? Consider the vendor’s commitment to innovation and their ability to provide a clear path for future upgrades and technology advancements.
Software ecosystem
Are the GPUs compatible with your existing software ecosystem, including operating systems, programming frameworks, and development tools? Ensure they are compatible with your software stack to avoid integration issues and maximise productivity.
Virtualisation and multi-tenancy support
Does your chosen graphics card support virtualisation and multi-tenancy capabilities? If you require partitioning and the ability to allocate GPU resources among multiple users or applications, this is
crucial to investigate.
Security and data protection
What security features do the graphics cards offer to protect sensitive data and prevent unauthorised access? Consider the availability of hardware-based encryption, secure boot, and other security measures to safeguard data integrity, intellection property and confidentiality.
In addition to specifying the right card for your workload or application, Panchaea can also recommend servers for those cards to operate in.
There are several types of servers to choose from, including:
– Water-cooled
– Direct liquid-cooled
– Immersion
Depending on your space and power requirements, we can customise products to suit your organisation’s specific needs.
Additionally, we recommend the latest AMD EPYC CPUs thanks to their high core counts and great price points.
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