Gaudi 3 vs A100 80GB

Gaudi 3 has 1.6× the memory; Gaudi 3 has 1.9× the bandwidth; A100 80GB rents for 2.6× less.

The Intel Gaudi 3 (Gaudi, 2024) and the NVIDIA A100 80GB (Ampere, 2020) come from different vendors and different design goals, but they get cross-shopped for a reason. On capacity, the Gaudi 3 carries 1.6x the memory (128 vs 80 GB), which sets what each can hold at all. On memory bandwidth, the number that governs LLM serving speed, the Gaudi 3 leads at 3.7 vs 2 TB/s. Raw compute favors the Gaudi 3 by 2.9x, which matters for training, prefill-heavy traffic, and diffusion work more than for chat-style decoding. The Gaudi 3 also speaks native FP8 while the A100 80GB tops out at BF16/INT8, a generational gap explained in CUDA cores vs Tensor Cores.

Price is where it settles: the A100 80GB rents from $0.87/hr against $2.30/hr for the Gaudi 3, a 2.6x gap that the performance numbers above only partly close. Per gigabyte of VRAM, the A100 80GB is the cheaper rental, worth knowing if your model is capacity-bound rather than speed-bound. For why Ampere remains the value benchmark this comparison is priced against, see The A100 in 2026. Everything below is the underlying data.

Intel · Gaudi · 2024

Intel Gaudi 3

Intel's price-performance play, with Ethernet-native scale-out instead of proprietary interconnect.

From $2.30/hr at FluidStack

NVIDIA · Ampere · 2020

NVIDIA A100 80GB

The GPU that started the LLM era, now a value pick for fine-tuning and mid-size inference.

From $0.87/hr at Vast.ai

Head to head

■ Gaudi 3   ■ A100 80GB, bars share one scale across the whole catalog.

Memory 128 GB 80 GB
Memory bandwidth 3.7 TB/s 2 TB/s
FP16 dense 918 TFLOPS 312 TFLOPS
FP8 dense 1,835 TFLOPS -
Power (TDP) 900 W 400 W
Gaudi 3A100 80GB
Memory128 GB HBM2e80 GB HBM2e
Bandwidth3.7 TB/s2 TB/s
FP16 dense918 TF312 TF
FP8 dense1,835 TF-
TDP900 W400 W
Interconnect24×200GbE RoCE on-chipNVLink 3 · 600 GB/s
Cheapest rental $2.30/hr $0.87/hr
$/hr per GB VRAM $1.8¢ $1.1¢

What one can run that the other can't

Only on Gaudi 3

  • Mixtral 8x22B (4-bit)
  • gpt-oss-120b (4-bit)

Only on A100 80GB

Nothing, Gaudi 3 runs everything A100 80GB does.

Rule of thumb: for LLM serving, prefer the GPU with more memory bandwidth per dollar; for training and prefill-heavy work, prefer FLOPS per dollar; and if the model doesn't fit in VRAM, none of the other numbers matter. Sanity-check with the VRAM calculator.