Special Offers

The 16 inch MacBook Pro with M4 Max chip gives you outrageous performance in a powerhouse laptop built for Apple Intelligence.[1] With up to 24 hours of battery life[2] and a breathtaking Liquid Retina XDR display with up to 1,600 nits peak brightness, it’s pro in every way.

Supercharged by M4 Max
M4 Max can handle the most challenging workflows like rendering intricate 3D content.

Built for Apple Intelligence[1]
Apple Intelligence is the personal intelligence system that helps you write, express yourself and get things done effortlessly. With groundbreaking privacy protections, it gives you peace of mind that no one else can access your data - not even Apple.

Up to 24 hours battery life[2]
The 16 inch MacBook Pro delivers the same exceptional performance whether it’s running on battery or plugged in.

Apps fly with Apple Silicon[3]
All your favourites, including Microsoft 365 and Adobe Creative Cloud, run lightning fast in macOS.

If you love iPhone, you’ll love Mac
Mac works like magic with your other Apple devices. View and control what’s on your iPhone from your Mac with iPhone Mirroring.[4] Copy something on iPhone and paste it on Mac. Send texts with Messages or use your Mac to make and answer FaceTime calls.[5]

Brilliant Pro display
The 16.2 inch Liquid Retina XDR display[6] features 1,600 nits peak brightness[7] and up to 1,000 nits sustained brightness, 1,000,000:1 contrast.

Advanced camera and audio
Stay perfectly framed and sound great with a 12MP Center Stage camera, three studio-quality mics and six speakers with Spatial Audio with support for Dolby Atmos.

Connect it all
The 16-inch MacBook Pro features three Thunderbolt 5 ports, a MagSafe 3 charging port, SDXC card slot, HDMI port and headphone jack. And it supports up to four external displays with M4 Max.

Privacy and security are built right in
Every Mac comes with robust defences against viruses and malware. If your Mac is lost or stolen, Find My can help you get it back. FileVault makes sure your files are encrypted so others cannot access them. And free security updates help keep your Mac protected.

[1] Apple Intelligence is available in beta. Some features may not be available in all regions or languages. For feature and language availability and system requirements, see support.apple.com/en-gb/121115.
[2] Battery life varies by use and configuration. See apple.com/uk/batteries for more information.
[3] Apps are available on the App Store. Software and content may be sold separately. Title availability is subject to change.
[4] Available on Mac computers with Apple silicon and Intel-based Mac computers with a T2 Security Chip. Requires that your iPhone and Mac are signed in with the same Apple Account using two-factor authentication, your iPhone and Mac are near each other and have Bluetooth and Wi-Fi turned on, and your Mac is not using AirPlay or Sidecar. Some iPhone features (e.g., camera and microphone) are not compatible with iPhone Mirroring.
[5] FaceTime is not available in all countries or regions.
[6] The display on the 16 inch MacBook Pro has rounded corners at the top. When measured as a standard rectangular shape, the screen is 16.2 inches diagonally (actual viewable area is less).
[7] Up to 1,600 nits peak brightness in temperatures less than 25° C.

Additional information: manufacturers often update their Operating System (OS) software over the course of a device's lifespan – this means that your product might ship with a more advanced OS than specified.

Whatever you need, there's a Mac for everyone. Find out more about Macs and why we love them with our handy guide.

Key specifications of the Dell NVIDIA H100 NVL
The Dell NVIDIA H100 NVL is built on the Hopper architecture and equipped with 94GB of ultra-fast HBM3 memory, delivering breakthrough bandwidth for next-generation AI workloads. With 16,896 CUDA cores and 528 Tensor cores, it provides extreme acceleration in a dual-slot passive form factor optimised for dense server environments. PCIe Gen5 connectivity ensures maximum throughput, while advanced interconnect options enable multi-GPU scaling across enterprise platforms.

Performance benefits of the NVIDIA H100 NVL GPU
The H100 NVL is purpose-built for AI training, large-scale inference, and HPC workloads where compute density and memory bandwidth are critical. Its Hopper Tensor cores accelerate transformer models and generative AI, making it ideal for natural language processing, large language model training, and data-intensive analytics. With passive cooling for rackmount integration, the H100 NVL enables enterprises to deploy GPU clusters that deliver unmatched scalability, efficiency, and performance for the most demanding applications.

Refurbished, tested, and backed by Bytestock
The Dell NVIDIA H100 NVL graphics card has been manufacturer-refurbished and professionally tested by Bytestock’s in-house team to guarantee enterprise-grade reliability. Each unit is protected by a 1-year return-to-base warranty and comes with fast worldwide shipping, ensuring confidence in both quality and long-term performance.

NVIDIA DGX Station V100 GPU Workstation
4 x NVIDIA Tesla V100 32GB SXM2 GPUs

NVIDIA DGX-1 GPU Rackmount Server
8 x NVIDIA Tesla V100 32GB SXM2 GPUs

A Grace Blackwell AI Supercomputer on Your DeskNVIDIA DGX Spark Personal AI Supercomputer delivers a petaflop of AI performance from a power-efficient, compact form factor. With the preinstalled NVIDIA AI software stack, 1000 TOPS of performance, and 128GB of memory, developers can prototype, fine-tune, and inference large AI models of up to 200 billion parameters locally and seamlessly deploy to the data centre or cloud.

NVIDIA DGX Spark is a comprehensive solution, providing the hardware along with expert support and integration services to ensure seamless deployment and optimal performance for AI projects. This makes it an accessible and efficient tool for those looking to advance their AI research and applications.

For more information, see the:

Revolutionary AI Performance
On Your Desktop

The revolutionary ASUS Ascent GX10 AI Supercomputer, driven by the cutting-edge NVIDIA® GB10 Grace Blackwell Superchip (featured in the NVIDIA DGX Spark), delivers petaflop-scale AI computing power to the workstations of developers, researchers, and data scientists. Built to advance local AI innovation, this powerful system combines exceptional performance with sophisticated features to accelerate progress in AI development.

The MSI EdgeXpert AI Supercomputer redefines desktop AI computing, delivering petaflop-scale performance through the cutting-edge NVIDIA® GB10 Grace Blackwell Superchip—the same powerhouse at the core of NVIDIA DGXTM Spark. Purpose- built for developers, AI researchers, and data scientists, the EdgeXpert empowers local AI development with unmatched performance, scalability, and advanced features—all in a compact, desktop-ready form.

• Multi-Precision Computing Engine: Features a secondary transformer engine capable of dynamically adapting mathematical precision formats. It introduces native hardware support for ultra-dense 4-bit floating-point (FP4) formats.
• Throughput Optimization: The utilization of lower-bit mathematical precisions allows the GPU to double its processing capacity and model throughput compared to older 8-bit standards, delivering up to 20 petaflops of compute from a single chip structure.
• Hardware Decompression Support: Includes a dedicated, onboard hardware decompression engine. This system offloads heavy data-unpacking tasks directly from the main CPU, accelerating data analytics and speeding up the transfer of vast training datasets from high-speed storage arrays directly into the GPU core.

The Lenovo ThinkSystem NVIDIA H200 NVL PCIe 141GB AI Accelerator Card (Lenovo Part Number: 4X67A97315) is a dual-slot, passively air-cooled graphics processor engineered specifically to accelerate demanding generative AI, large language model (LLM) inference, and high-performance computing (HPC) workloads. Built on the advanced NVIDIA Hopper architecture, it is notable for being among the first server-grade accelerators to integrate ultra-fast HBM3e memory technology, offering vastly improved capacity and data bandwidth over its predecessor, the H100.

The NVIDIA H200 Tensor Core GPU supercharges generative AI and HPC with game-changing performance and memory capabilities. As the first GPU with HBM3e, H200’s faster, larger memory fuels the acceleration of generative AI and LLMs while advancing scientific computing for HPC workloads.

NVIDIA HGX™ H200, the world’s leading AI computing platform, features the H200 GPU for the fastest performance. An eight-way HGX H200 provides over 32 petaflops of FP8 deep learning compute and 1.1TB of aggregate high-bandwidth memory for the highest performance in generative AI and HPC applications.

Key AI and HPC workload features:

• Unlock Insights With High-Performance LLM Inference

  In the ever-evolving landscape of AI, businesses rely on large language models to address a diverse range of inference needs. An AI inference accelerator must deliver the highest throughput at the lowest TCO when deployed at scale for a massive user base. H200 doubles inference performance compared to H100 when handling LLMs such as Llama2 70B.

• Optimize Generative AI Fine-Tuning Performance

  Large language models can be customized to specific business case needs with fine-tuning, low-rank adaptation (LoRA), or retrieval-augmented generation (RAG) methods. These methods bridge the gap between general pretrained results and task-specific solutions, making them essential tools for industry and research applications.

  NVIDIA H200’s Transformer Engine and fourth-generation Tensor Cores speed up fine-tuning by 5.5X over A100 GPUs. This performance increase allows enterprises and AI practitioners to quickly optimize and deploy generative AI to benefit their business. Compared to fully training foundation models from scratch, fine-tuning offers better energy efficiency and the fastest access to customized solutions needed to grow business.

• Industry-Leading Generative AI Training

  The era of generative AI has arrived, and it requires billion-parameter models to take on the paradigm shift in business operations and customer experiences.

  NVIDIA H200 GPUs feature the Transformer Engine with FP8 precision, which provides up to 5X faster training over A100 GPUs for large language models such as GPT-3 175B. The combination of fourth-generation NVLink, which offers 900GB/s of GPU-to-GPU interconnect, PCIe Gen5, and NVIDIA Magnum IO™ software, delivers efficient scalability from small enterprise to massive unified computing clusters of GPUs. These infrastructure advances, working in tandem with the NVIDIA AI Enterprise software suite, make the NVIDIA H200 the most powerful end-to-end generative AI and HPC data center platform.

• Supercharged High-Performance Computing

  Memory bandwidth is crucial for high-performance computing applications, as it enables faster data transfer and reduces complex processing bottlenecks. For memory-intensive HPC applications like simulations, scientific research, and artificial intelligence, H200’s higher memory bandwidth ensures that data can be accessed and manipulated efficiently, leading to up to a 110X faster time to results.

  The NVIDIA data center platform consistently delivers performance gains beyond Moore’s Law. And H200’s breakthrough AI capabilities further amplify the power of HPC+AI to accelerate time to discovery for scientists and researchers working on solving the world’s most important challenges.

• Reduced Energy and TCO

  In a world where energy conservation and sustainability are top of mind, the concerns of business leaders and enterprises have evolved. Enter accelerated computing, a leader in energy efficiency and TCO, particularly for workloads that thrive on acceleration, such as HPC and generative AI.

  With the introduction of H200, energy efficiency and TCO reach new levels. This cutting-edge technology offers unparalleled performance, all within the same power profile as H100. AI factories and at-scale supercomputing systems that are not only faster but also more eco-friendly deliver an economic edge that propels the AI and scientific community forward. For at-scale deployments, H200 systems provide 5X more energy savings and 4X better cost of ownership savings over the NVIDIA Ampere architecture generation.

Cisco N9K-C9364C Overview

Arista 7800R3 Series Universal Spine and Cloud Networks

Designed for the next generation of large scale virtualized and cloud networks the Arista 7800R3 Series modular switches are the 3rd generation of the R-Series universal spine switches. They combine 400G and 100G density with internet scale table sizes and comprehensive L2 and L3 features. Advanced EOS features for network monitoring, precision timing, VXLAN network virtualization and EVPN are combined with extensive hardware resources with a wide choice of systems and line cards to support lasting investment protection.

Arista 7800R3 Series Specifications

The Arista 7800R3 Series of modular switches deliver the industry’s highest performance with 460Tbps of system throughput to meet the needs of the largest scale data centers. With a choice of systems the 7800R Series provides four, eight, twelve or sixteen line card modules, two supervisor modules, and up to twelve fabric modules. Designed for continuous operations and with system wide monitoring of hardware and software components, simple serviceability and provisioning to prevent single points of failure the hardware architecture supports high-availability with hot-swap of all components.

Arista 7800R3 Series Architecture

The Arista 7800R3 Series leverages a deep buffer virtual output queue (VOQ) architecture that is 100% efficient, eliminates head-of-line (HOL) blocking and virtually eliminates packet drops even in the most congested network scenarios. An advanced traffic scheduler fairly allocates bandwidth between all virtual output queues while accurately following queue disciplines including weighted fair queuing, fixed priority, or hybrid schemes. As a result, the Arista 7800R3 Series can handle the most demanding data center requirements with ease, including mixed traffic loads of real-time, multicast, and storage traffic while still delivering low latency.