AI
Graphcore Right on the Money in First MLPerf Appearance
When it comes to a silicon startup bringing a product to market in a tough competitive landscape, nothing is easy. …
Search Results for graphcore
AI
Graphcore Shows GAN Gains for CERN
While securing the high-end particle physics market segment is not likely to push any of the AI/ML ASICS into competition with GPUs anytime soon, the chipmakers that can prove their value on some of the most demanding, real-time AI workloads can capture some serious mindshare. …
AI
Graphcore IPU Put Through the Supercomputing Paces
…With performance comparable to the Nvidia V100 GPU, a common accelerator in HPC but better energy consumption numbers and memory bandwidth potential, Graphcore can turn heads in supercomputing.
TRANSFORM YOUR DATA CENTRE WITH THE GRAPHCORE IPU-POD SCALE-OUT TECHNOLOGY
Sponsored by Graphcore
- IPU-POD 64 SCALE-OUT SYSTEM WEBINAR
27th January 2021 – 16:00 GMT, 8:00 PT, 11:00 ET
IPU-POD is Graphcore’s unique scale-out solution for high-performance machine intelligence compute, ideal for experimentation to prototype to production systems from IPU-M2000 with 4 IPUs up to supercomputing scale. …
The Graphcore Second Generation IPU
Sponsored by Graphcore
Graphcore, the U.K.-based startup that launched the Intelligence Processing Unit (IPU) for AI acceleration in 2018, has introduced the IPU-Machine. …
AI
Graphcore Builds Momentum with Early Silicon
There has been a great deal of interest in deep learning chip startup, Graphcore, since we first got the limited technical details of the company’s first-generation chip last year, which was followed by revelations about how their custom software stack can run a range of convolutional, recurrent, generative adversarial neural network jobs. …
AI
A Dive into Deep Learning Chip Startup Graphcore’s Software Stack
The last two years have delivered a new wave of deep learning architectures designed specifically for tackling both training and inference sides of neural networks. …
AI
An Early Look at Startup Graphcore’s Deep Learning Chip
As a thought exercise, let’s consider neural networks as massive graphs and begin considering the CPU as a passive slave to some higher order processor—one that can sling itself across multiple points on an ever-expanding network of connections feeding into itself, training, inferencing, and splitting off into multiple models on the same architecture. …
HPC
NSF Puts $10 Million Into Composable Supercomputer
If they are doing their jobs right, the high performance computing centers around the world in academic and government institutions are supposed to be on the cutting edge of any new technology that boosts the performance of simulation, modeling, analytics, and artificial intelligence. …
AI
RISC-V Upstart Targets ML Inference Performance, Power Efficiency
There is a growing number of vendors big and small going hard to the hoop to make processors for artificial intelligence workloads. …