AI
Is There a Wafer-Scale Revolution on the Horizon?
The long-held skepticism around wafer-scale architectures is deep and goes back decades. …
Compute
Compute
At Its Heart, IBM Remains A Systems Company
We have argued, even a decade and a half before The Next Platform was founded, that no one would ever move all of their IT infrastructure to a utility, what we now call a public cloud. …
Compute
Intel To Amp Up Security With “Ice Lake” Xeon SP Servers
Security is one of those necessary things that should not be an afterthought, but often is, and ideally is so invisible that it doesn’t get in the way of applications and the infrastructure it runs on. …
Compute
Nvidia Previews Ampere Kicker To Turing GPU Accelerator
We are still digging through the content coming out of the GTC 2020 fall conference and would be remiss if we didn’t talk a bit about the “Ampere” A40 and A6000 GPU accelerators that Nvidia is previewing. …
Compute
Navigating Through The Roiling Datacenter Waters
For a long time, datacenter compute has been the very picture of stability – Intel-based servers running enterprise workloads in central facilities. …
Compute
Pondering That Rumored $30 Billion AMD Acquisition Of Xilinx
You can have a strategy, but you can’t buy one.
Nothing illustrates this principle more than the networking buying binges that both Intel and AMD went on nearly a decade ago, which did not really amount to much in the end but which made some sort of sense in the middle of it all happening. …
Compute
One On One With Jensen Huang: Nvidia, The Platform Company
While a lot of ideas are ancient, some are relatively new and can come from only a modern context. …
Compute
Why The DPU Is More Important Than The CPU For Nvidia
If you are fairly new to the IT racket, you might be under the impression that the waves of integration and disaggregation in compute, networking, and storage that swept over the datacenter in recent decades were all new, that somehow the issues of complexity and cost did not plague systems of the past. …
Compute
On the Fringes of Useful Neuromorphic Scalability
When it comes to novel computing architectures, whether in quantum, deep learning, or neuromorphic, it can be tricky to get a handle on how incremental improvements in processor counts translate to real world improvements since these bumps in element counts often don’t have perfect parallels to CPUs or even GPUs. …
Compute
Testing the Limits of a Quantum Hardware Market
D-Wave today announced another milestone in its quest to keep adding qubits, jumping from the previous generation 2000 qubit device to one with 5000. …