Tenstorrent
Open RISC-V AI hardware
- Version
- Blackhole
- Cost
- from $999/unit
- Model
- Tensix cores
Intel · #6 most active of 18 in Chips & Compute
Gaudi 3 targets price-performance against Nvidia parts with open Ethernet scale-out and an oneAPI/PyTorch software path.
Trust score · Verified
2 data points checked · 2026-09-13
Current version
1.24.1
Entry cost
Pricing not published. Available via Intel Tiber AI Cloud or OEM platforms.
Changes / 30d
5
The short answers · verified September 16, 2026
Source: Intel — docs.habana.ai · Reusable under CC BY 4.0 — cite Tomorrow
OEM/cloud
quoted
Free
Entry price over time
Not enough pricing history yet — we start charting from the second observation.
Accelerator
Intel
Intel Gaudi 2
Intel
Intel Gaudi 3
Intel
Context window
n/a
Public API
yes
Multi-model routing
no
Other tracked products running on the same foundation models — a quick read on how much of the catalog moves when one of these models changes.
green disclosed · amber inferred · grey unattributed. Aliases are folded into one model; provider concentration counts only models with an established vendor.
Reference data. Each figure is whatever the source actually said — weekly users, downloads, revenue run-rate — with its own definition and date. These are not comparable between tools and are never used to rank anything.
No public usage figure on record for this product.
Intel trades as NASDAQ: INTC. Figures below are as reported for Q2 2026 on Jul 23, 2026; market levels are the close on Aug 6, 2026 and are a reference marker, not a live quote.
Q2 2026 revenue
~$12.5B
flat YoY
Tenstorrent
Open RISC-V AI hardware
Inference-first TPU pods
Cerebras
Wafer-scale inference and training
NVIDIA
GB200/B200 rack-scale AI systems
Cloud-native training silicon
SambaNova
Dataflow chips for model serving
New capabilities: Intel Gaudi Software Suite
63 tracked64 tracked · +Intel Gaudi Software Suite
sourceNew capabilities: Inference using vLLM, Inference using SGLang, HCCL Scale-out
60 tracked63 tracked · +Inference using vLLM, Inference using SGLang, HCCL Scale-out
sourceNew capabilities: Inference Serving, Quantization (INT4/NF4)
58 tracked60 tracked · +Inference Serving, Quantization (INT4/NF4)
sourceNew capabilities: FP8/INT4 Quantization, HCCL scale-out
56 tracked58 tracked · +FP8/INT4 Quantization, HCCL scale-out
sourceNew capabilities: Quantization (FP8/UINT4/NF4)
55 tracked56 tracked · +Quantization (FP8/UINT4/NF4)
sourceNew capabilities: DeepSpeed Integration, INT4 Quantization
53 tracked55 tracked · +DeepSpeed Integration, INT4 Quantization
sourceNew capabilities: PyTorch training, FP8 training, vLLM inference
47 tracked53 tracked · +PyTorch training, FP8 training, vLLM inference, DeepSpeed support, SGLang support, HPU graphs
sourceIntel Gaudi 3 added Intel Gaudi 2, Intel Gaudi 3 to its model stack
AcceleratorAccelerator, Intel Gaudi 2, Intel Gaudi 3
sourceNew capabilities: Quantization (FP8, INT4, NF4), H HCCL
44 tracked46 tracked · +Quantization (FP8, INT4, NF4), H HCCL
sourceNew capabilities: FP8 / INT4 Quantization, HCCL Collective Communications, Kubernetes Orchestration
37 tracked40 tracked · +FP8 / INT4 Quantization, HCCL Collective Communications, Kubernetes Orchestration
sourceNew capabilities: vLLM Inference, SGLang Inference
35 tracked37 tracked · +vLLM Inference, SGLang Inference
sourceStraight head-to-head pages against the busiest products in Chips & Compute.
Free to cite and reuse under CC BY 4.0. Permalink: https://tomorrow.aliensquad.ai/tools/intel-gaudi-3
Tomorrow. (2026). Intel Gaudi 3 — version, pricing and model stack [Data set entry]. AlienSquad. Retrieved 2026-09-17, from https://tomorrow.aliensquad.ai/tools/intel-gaudi-3
@misc{tomorrow-tools-intel-gaudi-3,
author = {{Tomorrow}},
title = {Intel Gaudi 3 — version, pricing and model stack},
year = {2026},
publisher = {AlienSquad},
howpublished = {\url{https://tomorrow.aliensquad.ai/tools/intel-gaudi-3}},
note = {Accessed: 2026-09-17}
}