Lambda vs SK Hynix
Relationship
Lambda Superclusters and PEB000 Series do comparable work on AI compute hardware; both also serve buyers who need to buy data-centre AI compute; similar scale (public); ships hardware rather than the same layer.
Assembled from the recorded fields for this pair, not hand-checked. The comparison below is read from each company’s own profile.
3 of 5 capabilities — Shares AI compute hardware, model inference and model training.
Ludbee capability tags · from the product recordsDifferent layer — SK Hynix ships hardware, not the same layer.
Ludbee product recordsAligned comparison
Capability overlap
Shared · 3
Not verified for SK Hynix · 2
Recorded for Lambda. SK Hynix’s product records say nothing either way — a missing record is not a missing capability.
Not verified for Lambda · 1
Recorded for SK Hynix. Lambda’s product records say nothing either way — a missing record is not a missing capability.
Products, side by side
Algorithmic pairing — assembled from recorded fields, not hand-checked
Lambda
No shared stack layer with the other side.
SK Hynix
No shared stack layer with the other side.
No counterpart
Lambda sells these in a stack layer with no product recorded for SK Hynix yet — nothing on the other side to compare them against.
Infrastructure service
Self-serve GPU clusters from 16 to 2,000+ NVIDIA B200 or H100 GPUs, provisioned without a sales cycle for training, fine-tuning and large inference runs.
On-demand NVIDIA instances for training, fine-tuning and serving — 1 to 8 GPUs launched in minutes with self-serve access — billed by the minute with no egress charge, alongside the 1-Click Clusters and liquid-cooled superclusters Lambda sells for larger runs.
Hourly NVIDIA GPU instances — H100, H200, B200 and A100 — launched in minutes with no egress fees.
Rents dedicated large-scale AI training and inference GPU clusters at supercomputer scale.
Model API
Hosted inference endpoints for open-weight models on Lambda's own GPU fleet, billed per token.
SK Hynix sells these in a stack layer with no product recorded for Lambda yet — nothing on the other side to compare them against.
Hardware
CXL 2.0 memory module that expands and pools DDR5 capacity and bandwidth beyond the CPU's own channels for AI and high-performance computing servers, with a 96GB version through customer validation and a 128GB 1bnm version following.
Fourth-generation high-bandwidth memory that vertically stacks up to 12 DRAM layers for 36GB at 9.6Gbps, sold to GPU and AI accelerator makers for AI server packages.
Fifth-generation high-bandwidth memory with 2,048 I/O terminals and over 10Gbps operating speed, roughly doubling HBM3E bandwidth for next-generation AI accelerators.
PCIe Gen5 enterprise SSD series in E1.S form factor with in-house ASIC and V8 4D NAND, power-optimised for AI servers and NVIDIA RVL-qualified for GB200 -- one model shipping today, PEB110 (1,920-7,680GB, 20W, mass production).
PCIe Gen5 enterprise SSD series with in-house ASIC and V7 4D NAND for high-performance datacenter workloads, supporting up to 16TB in U.2/3 and the newer E3.S form factor -- two models shipping today, PS1010 and PS1030.
192GB LPDDR5X-based low-power memory module built on the 1cnm process and designed as main memory for AI servers, delivering over double the bandwidth of conventional RDIMM at over 75% better power efficiency.