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Intel Gaudi 2

96 GB VRAM432 FP16 TFLOPS600 W TDP3 providers6 offerings2 regions

The Intel Gaudi 2 is an enterprise-class GPU built on the Gaudi 2 architecture, featuring 96 GB of memory with 2,450 GB/s of memory bandwidth and a 600 W TDP. It delivers 432 TFLOPS of FP16 tensor performance. Currently available from 3 providers starting at $1.03/GPU/hour, with a market median of $1.05/GPU/hour across 6 configurations.

Cheapest
$1.027/hr
Cyfuture AI
Median
$1.052/hr
across 6 offerings
Most expensive
$1.210/hr
Sesterce Cloud
90-day trend
+1.7%
median rate

Hardware specifications

Same across all providers

FP16 performance
432 TFLOPS
peak
TDP
600 W
Memory bandwidth
2,450 GB/s
Architecture
Gaudi 2
Brand
Intel
Series
Gaudi
Market price history

Median price across all providers

Prices updated 4 hours ago

3 offerings from 3 providers

Sorted by price ascending. Compare configurations side-by-side.

ProviderCountvCPURAMRegionPer GPU hourTotal/hrAction
Cyfuture AI logoCyfuture AICheapest
Up to$1credit
×81522.25 TB
India
From$1.027
+0.2% 30d
From$8.22
Launch
×8152940 GB
United States
$1.155
0.0% 30d
$9.24
Launch
Sesterce Cloud logoSesterce CloudReferral link
×8152940 GB
United States
$1.210
0.0% 30d
$9.68
Launch

LLMs that fit on the Intel Gaudi 2

Estimated VRAM for popular open-weight LLMs at 16-bit (FP16/BF16), 8-bit (FP8/INT8) and 4-bit (INT4/MXFP4) precision, against 96 GB per GPU. Showing the 12 largest that fit.

ModelParameters16-bit8-bit4-bit
Kimi K2.5
Moonshot AI
1T
32B active
Not released
Not released
714 GB
8× · 54 GB free
GLM-5.2
Z.ai
753B
1,808 GB
Too large
994 GB
Too large
579 GB
8× · 189 GB free
DeepSeek R1
DeepSeek
671B
37B active
Not released
826 GB
Tight on 8× · 11% spare
481 GB
8× · 287 GB free
DeepSeek V4 Flash
DeepSeek
284B
Not released
Not released
192 GB
Barely fits on 2×
Solar Open2 250B
Upstage
250B
15B active
601 GB
8× · 167 GB free
330 GB
4× · 54 GB free
192 GB
4× · 192 GB free
or 2× · 19% spare
Qwen3 235B-A22B
Alibaba
235B
22B active
564 GB
8× · 204 GB free
310 GB
4× · 74 GB free
181 GB
2× · 11 GB free
Laguna-S 2.1
Poolside
118B
8B active
282 GB
4× · 102 GB free
155 GB
2× · 37 GB free
90 GB
1× · 5.7 GB free
gpt-oss-120b
OpenAI
117B
5.1B active
Not released
Not released
78 GB
1× · 18 GB free
Qwen3.6 35B-A3B
Alibaba
35B
3B active
86 GB
1× · 9.7 GB free
47 GB
1× · 49 GB free
28 GB
1× · 68 GB free
Qwen3 32B
Alibaba
32.8B
79 GB
1× · 17 GB free
43 GB
1× · 53 GB free
25 GB
1× · 71 GB free
Gemma 4 31B
Google
31.3B
75 GB
1× · 21 GB free
41 GB
1× · 55 GB free
24 GB
1× · 72 GB free
GLM-4.7 Flash
Z.ai
31.2B
75 GB
1× · 21 GB free
41 GB
1× · 55 GB free
24 GB
1× · 72 GB free

Estimates: model weights plus 20% for KV cache and runtime overhead, at short context lengths. Long contexts and large batches need more. Rows marked “tight” hold the weights but not that full margin. A ×N figure is the total VRAM across N of these GPUs and makes no claim about interconnect throughput. How we estimate this · Start from a model instead

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Frequently asked questions

How much does the Intel Gaudi 2 cost per hour?
The Intel Gaudi 2 starts at $1.03 per GPU-hour, with a median of $1.05 across 6 available configurations. Actual pricing depends on the provider, region, and whether you rent on-demand, spot or reserved.
Which cloud providers offer the Intel Gaudi 2?
3 providers currently list the Intel Gaudi 2: Cyfuture AI, Omega Gradient, Sesterce Cloud. Compare their hourly pricing, regions and machine specs in the table above.
How much VRAM does the Intel Gaudi 2 have?
The Intel Gaudi 2 comes with 96 GB of VRAM, which determines the largest models and batch sizes it can hold in memory for training and inference.
Which LLMs can I run on the Intel Gaudi 2?
With 96 GB of VRAM, a single Intel Gaudi 2 can serve models such as Laguna-S 2.1, gpt-oss-120b, Qwen3.6 35B-A3B, Qwen3 32B. The table above lists the estimated VRAM for each model at 16-bit, 8-bit and 4-bit precision, including the multi-GPU configurations needed for larger models.
What's the biggest LLM I can run on multiple Intel Gaudi 2 GPUs?
The largest models we track that fit across several Intel Gaudi 2 cards are Kimi K2.5 on 8 GPUs at 4-bit, GLM-5.2 on 8 GPUs at 4-bit, DeepSeek R1 on 8 GPUs at 4-bit. A multi-GPU configuration means you rent and pay for every card for the whole run, and splitting a model across cards costs throughput as well: the GPUs exchange activations on every token, so performance depends on how fast they are wired together. We do not track interconnect, so check the provider's node specification. The table above gives the smallest configuration for each model at 16-bit, 8-bit and 4-bit precision.
Where is the Intel Gaudi 2 cheapest?
The lowest on-demand price we currently track for the Intel Gaudi 2 is $1.03 per GPU-hour at Cyfuture AI. Because providers update pricing and availability frequently, check the live table above before you launch.