The Ultimate Guide to High Performance Computing
A curated Irish edition of TechDay news, analysis, interviews, reviews, job moves, and related resources for High Performance Computing (HPC).
What to know about High Performance Computing
High Performance Computing (HPC) is a field that focuses on using advanced computing technologies to solve complex problems and process vast amounts of data rapidly. It encompasses the design and deployment of powerful computing systems, including supercomputers and specialized hardware, to support applications ranging from scientific research and AI development to data analytics and industrial simulations.
Exploring this tag reveals the latest innovations, partnerships, and breakthroughs in hardware, software, and infrastructure that drive HPC forward. Readers can learn about advancements in AI integration, data centre efficiency, cooling technologies, and collaborative efforts among leading technology companies. Staying informed about HPC developments provides insight into how cutting-edge computing power is shaping industries and enabling new capabilities across diverse fields.
Analyst Insights
Research and market analysis connected to High Performance Computing
Vultr adds AMD MI455X GPU & Helios rackscale support
Google tops Gartner's AI infrastructure magic quadrant
Neocloud providers set to grab AI cloud market share
Data centre market set to hit USD $1.08 trillion by 2034
IDC says global server revenue hits USD $444.1 billion
Featured News
Exclusive: Virtuozzo sees GPU clouds reshape AI infrastructure
AI demand is pushing cloud providers towards GPU-as-a-service models, with efficiency and utilisation emerging as key differentiators.
Marvell targets AI connectivity bottleneck with NVIDIA boost
AI data centres are hitting copper limits, pushing Marvell and Nvidia towards optics as clusters grow larger and more distributed.
Dell Technologies makes all the hardware cool again
Renewed AI spending is boosting demand for Dell's secure, certified infrastructure as companies chase faster deployment and lower cloud costs.
Interviews
Interviews and video coverage from the network
Exclusive: Virtuozzo sees GPU clouds reshape AI infrastructure
Marvell targets AI connectivity bottleneck with NVIDIA boost
Dell Technologies makes all the hardware cool again
How Formula 1 turns data & cyber security into speed
Beyond silicon: AMD evolves AI processor performance, makes play for investment trillions
Recent High Performance Computing News
Google expands AI infrastructure with Lustre & C4N
The upgrades are aimed at easing bottlenecks for large AI and machine learning deployments, with clusters now scaling to 15,000 nodes.
Stealthium & Tenstorrent add AI runtime visibility
Enterprises running AI on specialised hardware could gain better control and security as the firms target a visibility gap in runtime operations.
NVIDIA deploys Vera CPU to speed chip design tools
Chip design checks could run up to 50% faster after early tests with Cadence and Synopsys tools on NVIDIA's Vera CPU.
ZuriQ raises USD $25.5 million to scale quantum chips
The Swiss start-up will use fresh funding to expand its team and scale fabrication of trapped-ion chips aimed at hundreds of qubits.
VAST & AMD expand AI inference infrastructure tie-up
The tie-up is aimed at helping cloud providers cut inference costs and improve GPU efficiency as AI demand shifts beyond model training.
Google Cloud time-slices accelerators for RL training
Large language model post-training could get cheaper as idle accelerator time is cut from about 60% to 30% in early tests.
AMD unveils Helios rack-scale AI compute portfolio
Helios racks and new Instinct chips put AMD deeper into AI infrastructure as it courts major customers and challenges Nvidia.
Speedata deploys Arteris FlexNoC in Callisto & Andromeda
The deal underpins Speedata's bid to cut server counts and costs in data-preparation and ETL workloads as analytics chips get more specialised.
AMD & Anthropic strike gigawatt-scale AI partnership
Anthropic will gain a larger pool of AI computing power as AMD commits up to USD $5 billion and a gigawatt-scale chip rollout.
NVIDIA ramps up Vera Rubin AI system for cloud giants
Early cloud deployments and benchmark gains signal NVIDIA's latest rack-scale AI platform is moving into commercial use as data centres chase efficiency.
AMD expands Azure AI infrastructure deal with Microsoft
Microsoft will widen Azure's AI capacity as AMD's Helios rack system and Venice processors are added across chips, networking and software.
NetApp buys DataPelago to boost AI data processing
Businesses could cut AI data-handling costs sharply as NetApp adds DataPelago's zero-copy processing to its storage platform.
Siren & Ocient team up for sovereign investigations
Agencies handling petabyte-scale intelligence can now search and analyse data in one sovereign environment, cutting transfers between systems.
Akamai joins WWT AI security model for NVIDIA systems
The tie-up gives enterprises a layered way to secure AI systems without sacrificing performance, as demand for larger workloads grows.
Scaleway buys Qarnot to boost European HPC platform
European firms needing secure, low-carbon compute gain a bigger home as the deal expands cloud, AI and dedicated HPC services under one roof.
Esmo marks 25 years with Germany, China & Taiwan expansion
Long-standing chipmaker ties are set to deepen as the supplier adds manufacturing and support capacity across three key semiconductor hubs.
Google Cloud makes AlphaEvolve generally available
Access to Google Cloud's code-optimisation agent now expands after early tests showed gains in forecasting, routing, chip design and research.
Google Cloud launches C4N virtual machines for heavy I/O
Customers running databases and analytics can now tap higher network and storage throughput, as Google Cloud makes its C4N machines generally available.
SUSE, NVIDIA & Vultr launch AI Factory for production
Enterprises can now run governed AI workloads faster, as the validated stack aims to cut integration delays and simplify deployment across environments.
Google Cloud says firms need AI infrastructure upgrades
Most organisations must upgrade their systems to run agentic AI in production, as cloud costs, governance and energy use climb.