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HBM is a type of memory; HBM3E and HBM4 are generations of it. HBM4 offers substantially higher supplier-reported bandwidth per stack and a wider interface than HBM3E, but the generation label alone does not tell you which AI accelerator is the better buy. Capacity, stack configuration, platform compatibility, power, availability and measured performance on your workload matter too.
What HBM is—and what the generation names mean
High-bandwidth memory (HBM) is specialized DRAM designed for systems that need to move data quickly. Instead of placing memory chips side by side on a conventional board, HBM stacks DRAM dies vertically and connects them using through-silicon vias (TSVs). The resulting compact, wide interface is used in AI and high-performance computing accelerators. HBM works alongside other system memory, such as DDR5 or LPDDR; it does not replace all of a computer’s memory. Micron describes HBM as specialized 3D-stacked SDRAM.
HBM3E and HBM4 are successive HBM generations. Their headline differences include interface width and supplier-reported bandwidth, but a generation name is not a guarantee that every product or accelerator reaches the same performance. Bandwidth is how much data can be transferred per second; capacity, measured in gigabytes (GB), is how much data the memory can hold.
HBM3E vs. HBM4: supplier specifications
The figures below are supplier-published product specifications, not independent measurements. They describe particular products or supplier claims, not universal performance for every stack in a generation.
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| Generation and supplier | Supplier-reported bandwidth per stack | Capacity or configuration stated by supplier |
|---|---|---|
| HBM3E, Micron | More than 1.2 TB/s | No single universal capacity stated on the portfolio page. Source: Micron product portfolio. |
| HBM3E, Samsung | Up to 1,180 GB/s | 24 GB and 36 GB; 8-high and 12-high options. Source: Samsung product portfolio. |
| HBM4, Micron | More than 2.8 TB/s | 36 GB 12-high product; 48 GB 16-high customer samples in 2026. Samples do not establish broad availability. Source: Micron product information. |
| HBM4, Samsung | Up to 3,300 GB/s (3.3 TB/s) | 36 GB 12-high product page listing; February 2026 announcement described 24–36 GB 12-layer options and plans for up to 48 GB with 16-layer stacking. Source: Samsung product information and announcement. |
| HBM4, SK hynix | Over 10 Gbps operating speed; the announcement said bandwidth doubled versus its previous generation | 2,048 I/O terminals. The September 2025 announcement reported development completion and preparation for mass production, not an independently measured bandwidth figure. Source: SK hynix, September 12, 2025. |
Micron reports more than 1.2 TB/s for its HBM3E stack and more than 2.8 TB/s for HBM4; Samsung lists up to 1,180 GB/s for HBM3E and up to 3,300 GB/s for HBM4. These products are not identical, and “more than” and “up to” are different specification terms. The numbers show why HBM4 is associated with higher per-stack bandwidth, but they are not a controlled, like-for-like test.
Samsung and SK hynix describe HBM4 as having 2,048 I/O pins or terminals, double the 1,024-pin interface they cite for the preceding generation. A wider interface can support greater data transfer, but an accelerator’s aggregate memory bandwidth also depends on its memory configuration and implementation.
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- NVIDIA Volta GV100 Architecture — 4,608 CUDA Cores, 640 1st-Gen Tensor Cores delivering 14 TFLOPS FP32 and 112 TFLOPS deep learning performance for AI training, inference, HPC, and scientific computing workloads
- 32GB HBM2 ECC Memory — 900 GB/s Bandwidth — High-bandwidth memory on a 4096-bit bus with ECC error correction provides the memory capacity and throughput required for the largest AI models, simulations, and datasets
- PCIe 3.0 x16 Interface — 250W TDP — Standard PCIe Gen3 connectivity with passive cooling designed for enterprise rack server deployment in HPE ProLiant, Dell PowerEdge, and Supermicro platforms with adequate chassis airflow
- NVLink — Scale to 96GB Unified Memory — Connect two V100 GPUs via NVLink at 300 GB/s bi-directional bandwidth to scale GPU memory from 32GB to 96GB for larger AI training and HPC workloads
- Multi-Precision Computing — Supports FP64 (7 TFLOPS), FP32 (14 TFLOPS), FP16 (112 TFLOPS) and INT8 precision modes for flexible deployment across training, inference, and scientific simulation workloads
How to interpret bandwidth, speed and capacity
- Bandwidth: GB/s or TB/s measures data transferred per second. A per-stack maximum is not the same as total accelerator bandwidth; the number of stacks and system design matter.
- Capacity: GB measures data held. More capacity may let a system accommodate a larger model, batch or context, but the result depends on the workload and the complete accelerator configuration.
- Operating speed: Gbps describes a data rate per pin or interface context, not the same unit as aggregate bandwidth per stack. Do not compare a Gbps figure directly with a TB/s figure.
- Stack height: Terms such as 12-high and 16-high refer to the number of stacked memory dies. The resulting capacity and supported configuration depend on the specific product.
Suppliers may use decimal units and publish product-specific maxima. Treat each figure as qualified by its supplier, product and configuration rather than as a generation-wide guarantee.
HBM4 availability is supplier- and platform-specific
HBM4 has moved beyond a purely developmental status for some suppliers, but announcements describe individual companies’ milestones and do not establish uniform availability or qualification across all vendors and accelerators.
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- Samsung: On February 12, 2026, Samsung announced HBM4 mass production and commercial shipments. It reported a consistent 11.7 Gbps speed, up to 13 Gbps, and up to 3.3 TB/s per stack. The same announcement described 24–36 GB 12-layer options and plans for up to 48 GB using 16-layer stacking. These are Samsung’s claims and product plans. Samsung announcement, February 12, 2026.
- SK hynix: On September 12, 2025, the company said HBM4 development was complete and it was prepared for mass production. It reported over 10 Gbps operating speed, 2,048 I/O terminals and more than 40% better power efficiency than its previous generation. These are supplier-reported claims and a readiness milestone. SK hynix announcement, September 12, 2025.
- Micron: Its HBM materials report more than 2.8 TB/s per HBM4 stack, identify a 36 GB 12-high product and show 48 GB 16-high customer samples in 2026. Its portfolio page says HBM4 is in high-volume production; sampling and supplier production statements do not by themselves establish availability in a particular accelerator. Micron HBM information.
Before treating any of these products as an option for a purchase, confirm the exact supported HBM generation, capacity and configuration with the accelerator maker or system vendor, along with its delivery schedule.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What AI hardware buyers should compare
Compare complete accelerator or server options—not isolated memory-generation labels. Ask for the details below for the systems you are actually considering.
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- System Compatibility Note: 2-slot card, 271x112x39mm, single 8-pin power, 200W TDP. Verify chassis clearance and PSU capacity before purchase.
- Dedicated Support: Please contact us directly through Amazon for any product questions or assistance you may require.
- 24GB GDDR6 on 192-Bit Bus: Massive 24GB memory with 456 GB/s bandwidth – ideal for LLMs, AI inference, 3D rendering, and generative design.
- Intel Xe2-HPG Architecture: Built on Intel's next-gen architecture with 20 Xe cores and 160 XMX engines for AI acceleration (197 INT8 TOPS).
- PCIe 5.0 Support: PCI Express 5.0 x16 interface for maximum bandwidth with the latest workstation platforms.
Capacity for the intended workload
Check total HBM capacity per accelerator against the target model, batch size, context length and workload. A faster memory interface does not compensate for capacity that cannot hold the data your workload needs.
Aggregate bandwidth and memory configuration
Ask for per-stack bandwidth, stack count and the accelerator’s aggregate memory bandwidth. Confirm that quoted figures refer to the configuration being offered, rather than a single stack or a supplier’s maximum for a different product.
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- PLEASE NOTE: Exporting an NVIDIA RTX Pro 6000 GPU outside the US requires strict adherence to the U.S. Export Administration Regulations (EAR) and issuance of an export license from the Bureau of Industry and Security (BIS). Compliance and Know Your Customer (KYC) screening may be required as a condition of order acceptance. [NVIDIA Blackwell Streaming Multiprocessor] The new SM features increased processing throughput, and new neural shaders that integrate neural networks inside of programmable shaders | DLSS 4: Multi Frame Generation ensures ultra-smooth frame pacing for lifelike simulations.
- [Double-Flow-Through Design] The RTX PRO 6000 Blackwell features a double-flow-through cooling design, optimizing efficiency and airflow to sustain peak performance under 600W power loads. | [5th Gen Tensor Cores] Deliver up to 3X the performance of the previous generation and support for FP4 precision for faster AI model processing times with reduced memory usage, enabling local fine-tuning of LLMs and generative AI | [4th Gen Ray Tracing Cores] Double the ray-triangle intersection rate of the previous generation to create photoreal, physically accurate scenes and immersive 3D designs with RTX Mega Geometry, which enables up to 100X more ray-traced triangles.
- [PCIe Gen 5] Support for PCIe Gen 5 provides double the bandwidth of PCIe Gen 4, improving data-transfer speeds from CPU memory and unlocking faster performance for data-intensive tasks like AI, data science, and 3D modeling. | [GDDR7 Memory] With 96 GB of GPU memory and 1.8 TB ps bandwidth, it can tackle massive 3D and AI projects, fine-tune AI models locally, explore large-scale VR environments, and drive larger multi-app workflows.
- [DisplayPort 2.1] Achieve unparalleled visual clarity and performance, driving high resolution displays at up to 8K at 240 Hz and 16K at 60 Hz. Increased bandwidth enables seamless multi-monitor setups while HDR and higher color depth support ensures superior color accuracy for precision work, such as video editing, 3D design, and live broadcasting.
- [Universal MIG] Divide a single RTX PRO 6000 Blackwell into multiple isolated instances, each with dedicated resources, allowing for concurrent execution of multiple workloads, optimized GPU utilization, and secure isolation of different applications or users. [WARRANTY] 3 YR Manufacturer's Warranty. Bulk OEM Packaging. Retail Packaging is NOT included.
Package support and compatibility
Verify the accelerator supports the stated generation, stack height and capacity. Memory is integrated into accelerator packages; an HBM generation is not a plug-in upgrade you can assume will fit a system designed for another configuration.
Power and thermal behavior
Supplier efficiency claims can help frame questions but are not a substitute for platform-level power and thermal data. Samsung reported a 40% improvement in power efficiency versus HBM3E in its 2026 announcement; SK hynix reported more than 40% versus its previous generation in 2025. These are company-reported comparisons, not independently verified results, and do not establish the power behavior of a complete accelerator under your deployment conditions.
Workload results, latency and total cost
Where possible, compare measured throughput, latency, utilization and cost using your intended model and software stack. The cited supplier specifications do not establish a universal application-level performance gain for HBM4 over HBM3E. Do not calculate an expected system speedup directly from per-stack bandwidth ratios: accelerator design, memory capacity, workload, software and system configuration all affect the result.
Which generation should you choose?
HBM4 is the higher-bandwidth generation in the supplier specifications cited here, and it has entered production or shipment milestones at some suppliers. That does not make every HBM4 accelerator the better purchase. Choose between actual system configurations based on workload fit, verified compatibility, delivery timing and measured results—not the newest label alone.
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