GDDR7 vs GDDR6 vs HBM: the memory inside GPUs, explained simply

TechTech

GDDR7 vs GDDR6 vs HBM: the memory inside GPUs, explained simply

Close-up of a printed circuit board's traces and components
Photo by Tima Miroshnichenko on Pexels

Gaming GPUs use GDDR. AI accelerators use HBM. Here's how GDDR6, GDDR7 and HBM4 differ, using the JEDEC standards, and why it matters for prices.

In this article
  1. The quick picture
  2. GDDR6 → GDDR7
  3. HBM4
  4. Side by side
  5. Why this matters for prices

Every GPU needs very fast memory right next to it. Gaming cards and AI chips solve that in two different ways. Here's the plain version, using the official JEDEC standards.

The quick picture

  • GDDR (GDDR6, GDDR7): separate memory chips arranged on the board around the GPU. Used in gaming cards like the RTX 50 series.
  • HBM (HBM3E, HBM4): DRAM dies stacked into towers and packaged right beside the processor. Used in AI accelerators and data-center chips.

GDDR is the wide highway around the city. HBM is the skyscraper next door with thousands of elevators.

GDDR6 → GDDR7

JEDEC published the GDDR7 standard on March 5, 2024. Key changes:

  • Double the bandwidth of GDDR6, up to 192 GB/s per device.
  • PAM3 signalling: three voltage levels (+1, 0, −1) send 3 bits over 2 cycles, vs 2 bits for the older NRZ method.
  • Independent channels double from 2 to 4.
  • Densities of 16 to 32 Gbit per chip, plus on-die ECC for reliability.

Real-world example: the RTX 5090 has 32GB of GDDR7 with 1,792 GB/s of memory bandwidth.

HBM4

JEDEC released the HBM4 standard on April 16, 2025:

  • A 2048-bit interface at up to 8 Gb/s, for up to 2 TB/s per stack.
  • 32 channels per stack, double HBM3's 16.
  • Stacks of 4, 8, 12 or 16 dies, up to 64GB per stack.
  • Backwards compatible with HBM3 controllers.

Real-world example: Google's TPU7x (Ironwood) has 192 GiB of HBM per chip at about 7.37 TB/s.

Side by side

GDDR7 (JEDEC) HBM4 (JEDEC)
Where it sits chips around the GPU on the board stacks beside the chip in the package
Bandwidth up to 192 GB/s per device up to 2 TB/s per stack
Signalling / bus PAM3, narrow per chip 2048-bit wide interface
Typical use gaming and workstation GPUs AI accelerators, HPC

Why this matters for prices

Both kinds are now squeezed by AI:

  • TrendForce says GDDR7 output is limited as capacity moves to server DRAM, and graphics DRAM prices keep rising in 4Q26.
  • It also says HBM stays supply-constrained through 2027, with blended HBM prices projected up 121% YoY in 2027. Some GPU makers are considering 8-high stacks instead of 12-high to stretch supply, though 8-high costs about 10–20% more per Gb.

That's a big part of why the RTX 5090 costs so much and why consoles may get pricier (PS6 memory costs). For who makes HBM4, see the HBM4 race; for basics, our HBM explainer.

FAQ

Is GDDR7 better than GDDR6?

On bandwidth, yes. JEDEC says GDDR7 offers double the bandwidth of GDDR6, up to 192 GB/s per device, and doubles independent channels from 2 to 4.

Why don't gaming GPUs use HBM?

HBM sits in stacks next to the chip on an advanced package, which is more complex and expensive. GDDR chips sit on the circuit board around the GPU.

What is HBM4?

The JEDEC HBM4 standard (JESD270-4), published April 16, 2025. It raises bandwidth to up to 2 TB/s per stack and supports up to 64GB per stack (16-high with 32 Gb dies).

Why do memory types affect GPU prices?

Memory makers are shifting capacity to server products and HBM. TrendForce says GDDR7 output is limited and graphics DRAM prices keep rising.

Sources

  1. JEDEC, “JEDEC Publishes GDDR7 Graphics Memory Standard” (Mar 5, 2024)https://www.jedec.org/news/pressreleases/jedec-publishes-gddr7-graphics-memory-standard
  2. JEDEC, “JEDEC and Industry Leaders Collaborate to Release JESD270-4 HBM4 Standard” (Apr 16, 2025)https://www.jedec.org/news/pressreleases/jedec%C2%AE-and-industry-leaders-collaborate-release-jesd270-4-hbm4-standard-advancing
  3. NVIDIA, GeForce RTX 5090 product pagehttps://www.nvidia.com/en-us/geforce/graphics-cards/50-series/rtx-5090/
  4. Google Cloud docs, TPU7x (Ironwood)https://docs.cloud.google.com/tpu/docs/tpu7x
  5. TrendForce, “AI Server Demand Sustains Memory Contract Price Increases in 4Q26...” (Sept 30, 2026)https://www.trendforce.com/presscenter/news/20260930-13258.html
  6. TrendForce, “HBM Supply Constraints Persist, 2027 Price Outlook Revised Upward...” (Sept 29, 2026)https://www.trendforce.com/presscenter/news/20260929-13255.html

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