Vendor: Altera Category: HBM

HBM2E and HBM2 FPGA IP

HBM2E and HBM2 are high-performance memory IPs that offer a combination of high memory bandwidth, low power consumption, low late…

Overview

HBM2E and HBM2 are high-performance memory IPs that offer a combination of high memory bandwidth, low power consumption, low latency, and small form factor for Agilex™ 7 FPGA M-Series and Stratix® 10 MX FPGAs, respectively. HBM2E and HBM2 are well-suited for a variety of high-performance computing applications.

Key features

  • HBM2E Agilex 7 FPGA M-Series
    • Integrates two stacks of HBM2E DRAM with Agilex 7 FPGA M-Series.
      •  Support for up to 32GB HBM2E in a single device
    • Dedicated hard memory controllers for each HBM2E stack, two per device.
      • Maximizes performance across all transactions
    • Up to 820 GB/s peak memory bandwidth
      • Up to 410GB/s memory bandwidth per HBM2E stack
      • 1.6x higher bandwidth vs prior generation
      • 10x more bandwidth vs DDR5, 7x more vs GDDR6
    • High-performance network-on-chip (NoC) to help achieve the highest bandwidth.
  • HBM2 Stratix 10 MX FPGA
    • Integrates two stacks of HBM2 DRAM with Stratix 10 MX FPGA.
    • Support for up to 16GB HBM2 in a single device
    • Offers up to two HBM2 interfaces.
    • Each HBM2 device can have a device density of 4GB or 8GB, based on the FPGA chosen
    • Provides up to 256GB/s bandwidth, making it ideal for high-performance computing with fast data transfer rates.

Benefits

  • High bandwidth and small form factor.
  • Maximizes performance with the hardened memory controller.
  • High-speed memory access to implement routing and security functions.

Specifications

Identity

Part Number
HBM2E and HBM2 FPGA IP
Vendor
Altera
Type
Silicon IP
Controller / PHY
Controller

Files

Note: some files may require an NDA depending on provider policy.

Provider

HQ: USA

Learn more about HBM IP core

Reducing Avoidable Memory Trips In HBM Systems

As AI and high-performance SoCs increasingly rely on HBM, memory bandwidth alone is no longer enough to maximize performance. This article discusses why the intelligent data movement and cache efficiency are critical to unlocking the full benefits of HBM-based architectures.

Making Strong Error-Correcting Codes Work Effectively for HBM in AI Inference

LLM inference is increasingly memory-bound, and HBM cost per GB now dominates system cost. Today’s HBM stacks include short on-die ECC, which tightens binning, raises price, and locks reliability policy inside the device. This paper asks a simple question: can we tolerate a much higher raw HBM bit error rate (BER) and still keep end-to-end correctness and throughput, without changing the HBM PHY or the fixed 32B transaction size?

High Bandwidth Memory Evolution from First Generation HBM to the Latest HBM4

HBM4 is the latest generation of the High Bandwidth Memory (HBM) that has become analogous to the Artificial Intelligence (AI) boom that is everywhere in today’s world. HBM is also increasingly being used in other applications like Data centers, autonomous driving systems, servers, cloud computing just to mention few domains where bandwidth and performance in a key requirement.

Breaking the HBM Bit Cost Barrier: Domain-Specific ECC for AI Inference Infrastructure

High-Bandwidth Memory (HBM) delivers exceptional bandwidth and energy efficiency for AI workloads, but its high cost per bit, driven in part by stringent on-die reliability requirements, poses a growing barrier to scalable deployment. This work explores a systemlevel approach to cost reduction by eliminating on-die ECC and shifting all fault management to the memory controller.

Frequently asked questions about HBM Interface IP

What is HBM2E and HBM2 FPGA IP?

HBM2E and HBM2 FPGA IP is a HBM IP core from Altera listed on Semi IP Hub.

How should engineers evaluate this HBM?

Engineers should review the overview, key features, supported foundries and nodes, maturity, deliverables, and provider information before shortlisting this HBM IP.

Can this semiconductor IP be compared with similar products?

Yes. Buyers can compare this product with similar semiconductor IP cores or IP families based on category, provider, process options, and structured technical specifications.

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