HyperAccel Tech Blog

Anatomy of torch.compile, Part 1: TorchDynamo, AOTAutograd, TorchInductor

We take torch.compile apart into its three components — TorchDynamo, AOTAutograd, and TorchInductor — and walk through what each one takes in, what it hands back, and how it actually works.

The three datacenter-CPU powers of the Agentic AI era — Intel, AMD, NVIDIA

Know Your Enemy, Know Yourself, Part 6: The Agentic AI Era — The Revival of the CPU and the Dawn of the CPU Three Kingdoms

We analyze why the CPU became the bottleneck of inference infrastructure in Agentic AI workloads, walk through the latest datacenter CPU lineups from the three CPU vendors, and explore why the CPU has risen to prominence again in the Agentic AI era.

Legato, A Programming Language for HyperAccel LPU

An introduction to Legato — HyperAccel’s programming model and compiler stack for the LPU — covering what it is, why it exists, and how it is designed.

mobile bridge between agent and development environment

Back to the Terminal: How Agents Made Remote Development Feel Native

AI coding agents did not just change how we write code. They changed where work can happen: over SSH, inside Termux, in Kubernetes pods, and from remote machines that no longer need a full local editor setup.

Where CXL sits in the memory hierarchy — a memory pool next to the CPU and accelerator coherency

Memory in the AI Era, Part 4: Understanding CXL

Next to the GPU, HBM and HBF fill the gap — but there’s another empty seat next to the CPU. We look at CXL, the new interface that fills the awkward gap between PCIe and DDR: its basic structure, device types, and the CXL product blueprints the big three memory vendors are drawing.

HBF commercialization challenges cover image

Memory in the AI Era, Part 3: The Remaining Challenges of HBF

HBF clearly has its place, but it still has gaps to fill before it can claim a spot in the memory hierarchy pyramid. We walk through the latest LLM model and inference workload trends, how Flash memory is actually used in LLM serving today, and the remaining challenges HBF has to solve.

Memory in the AI Era, Part 2: Where Does HBF Actually Fit?

Centered on SK hynix’s H³ architecture, we explore workloads that can overcome HBF’s weaknesses.

Know Your Enemy, Know Yourself Part 5: Cerebras and the Wafer-Scale Engine

This post explains Cerebras’s recent momentum, WSE-3 architecture, and the trade-offs of wafer-scale chips in a beginner-friendly way, following reports of a large OpenAI deal.

Memory hierarchy pyramid — SRAM, DRAM, HBM, HBF, SSD

Memory in the AI Era, Part 1: Understanding HBF

Why are there so many types of memory, and where does HBF fit in? From SRAM to HBF, we explore the physical principles behind the memory hierarchy and the technical architecture of HBF.

Anthropic branding and Claude Mythos Preview image

Project Glasswing: Claude Mythos Preview

Centered on Anthropic’s Project Glasswing and Claude Mythos Preview, this post explains why cybersecurity capability has jumped, how benchmark design is shifting, what real defensive findings looked like, and how developers should evolve their workflow with agents.